{ "schema_version": 2, "meta": { "build_id": "CODEX-RENTAL-LEADS", "slug": "rental-leads", "title": "Rental Leads / Rental Comps", "subtitle": "Build an auditable comparison from objective property facts.", "description": "A source-linked rental-comparison report with deduplicated comparable properties, median asking rent, size normalization, sample size and documented limitations.", "one_sentence_description": "A source-linked rental-comparison report with deduplicated comparable properties, median asking rent, size normalization, sample size and documented limitations.", "target_user": "A motivated beginner with permission to work in a private practice folder.", "skill_level": "beginner", "estimated_time": "90–130 minutes", "category": "Guided Build", "tags": [ "rental-leads", "verified practice", "chatgpt_codex" ], "prerequisites": [ "Permission to use a dedicated workspace", "A browser and terminal", "Read each platform-specific prerequisite before installation" ], "required_accounts": [], "required_software": [ "Modern browser", "Python 3.10+ for downloadable drills" ], "required_hardware": [ "A computer with space for the practice files", "Second drive for the disaster-recovery checkpoint" ], "expected_cost": "Free practice; existing tool accounts may have plan limits.", "final_outcome": "A source-linked rental-comparison report with deduplicated comparable properties, median asking rent, size normalization, sample size and documented limitations.", "platforms": [ "windows", "macos", "linux" ], "version": "2.0", "author": "chatgpt_codex", "source_checked": "2026-10-05", "verification_status": "Created; automated browser and project checks recorded separately. Live account/OS verification is never inferred from browser completion." }, "user_outcome": { "before": "The learner has no reproducible, checked workflow for rental leads / rental comps.", "after": "A source-linked rental-comparison report with deduplicated comparable properties, median asking rent, size normalization, sample size and documented limitations.", "finished_product": "A source-linked rental-comparison report with deduplicated comparable properties, median asking rent, size normalization, sample size and documented limitations." }, "learning_objectives": [ "The subject file contains numeric beds/baths/size, one area and a currency.", "The sample has complete objective attributes and traceable sources; no private tenant data is present.", "COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD.", "The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded.", "The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected.", "One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action." ], "lessons": [ { "lesson_id": "L01", "title": "Define the subject property", "purpose": "Comparable asking rents are a descriptive reference, not a valuation or an automated housing decision.", "estimated_time": "6 min", "learning_objective": "The subject file contains numeric beds/baths/size, one area and a currency.", "lessons_before_this": [], "lessons_after_this": [ "L02" ] }, { "lesson_id": "L02", "title": "Collect a transparent sample", "purpose": "A dedicated folder makes mistakes easy to diagnose and keeps real project files separate.", "estimated_time": "12 min", "learning_objective": "The sample has complete objective attributes and traceable sources; no private tenant data is present.", "lessons_before_this": [ "L01" ], "lessons_after_this": [ "L03" ] }, { "lesson_id": "L03", "title": "Compute the first comparison", "purpose": "The starter requires the same area, bedroom count, bathroom count and currency, and accepts sizes within 20% of the subject. The duplicate a3 is excluded.", "estimated_time": "6 min", "learning_objective": "COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD.", "lessons_before_this": [ "L02" ], "lessons_after_this": [ "L04" ] }, { "lesson_id": "L04", "title": "Interpret the numbers honestly", "purpose": "Size normalization does not adjust condition, parking, lease length, geography or fees. Median asking rent is a summary of this chosen sample.", "estimated_time": "6 min", "learning_objective": "The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded.", "lessons_before_this": [ "L03" ], "lessons_after_this": [ "L05" ] }, { "lesson_id": "L05", "title": "Test exclusions and errors", "purpose": "Missing data must remain missing. The report should not invent a rent when no comparable passes.", "estimated_time": "6 min", "learning_objective": "The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected.", "lessons_before_this": [ "L04" ], "lessons_after_this": [ "L06" ] }, { "lesson_id": "L06", "title": "Build a lead-review queue", "purpose": "This course creates a reviewed research queue. It does not send outreach, make financial recommendations, or automate housing eligibility.", "estimated_time": "6 min", "learning_objective": "One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action.", "lessons_before_this": [ "L05" ], "lessons_after_this": [ "L07" ] }, { "lesson_id": "L07", "title": "Repeat on a fresh sample", "purpose": "COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs.", "estimated_time": "6 min", "learning_objective": "COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs.", "lessons_before_this": [ "L06" ], "lessons_after_this": [ "L08" ] }, { "lesson_id": "L08", "title": "Build Bot Better — protect and recover", "purpose": "The September 23 BuildBotsBetter profile wipe removed Desktop, Documents and hidden agent memory together. Repeatable onboarding protects the knowledge needed to recover.", "estimated_time": "30 min", "learning_objective": "RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch.", "lessons_before_this": [ "L07" ], "lessons_after_this": [] } ], "steps": [ { "title": "Create an objective property profile", "purpose": "Comparable asking rents are a descriptive reference, not a valuation or an automated housing decision.", "user_action": "Open subject.json. Set area, bedrooms, bathrooms, square feet and currency for a practice property. Use property attributes only; do not collect protected characteristics or screen tenants.", "explanation": "Comparable asking rents are a descriptive reference, not a valuation or an automated housing decision.", "estimated_time": "6 min", "action_type": "inspect", "commands": { "all": "" }, "command_type": "shell", "required_inputs": [ "subject.json", "lead-review.md" ], "expected_result": "The subject file contains numeric beds/baths/size, one area and a currency.", "resources": [ "subject.json", "lead-review.md" ], "checkpoint": { "what_is_being_checked": "Create an objective property profile", "success_condition": "The subject file contains numeric beds/baths/size, one area and a currency.", "how_to_verify": "Record the subject file contains numeric beds/baths/size, one area and a currency. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "The subject file contains numeric beds/baths/size, one area and a currency.", "I can repeat this action from the saved input." ], "tokens": [], "user_visible_success_message": "Evidence saved. The subject file contains numeric beds/baths/size, one area and a currency.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I verify create an objective property profile?", "answer": "The subject file contains numeric beds/baths/size, one area and a currency. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use subject.json, lead-review.md. Work in the same practice folder." } ], "quiz": null, "coach": { "intro": "We are going to create an objective property profile. The subject file contains numeric beds/baths/size, one area and a currency.", "demo": "Open subject.json. Set area, bedrooms, bathrooms, square feet and currency for a practice property. Use property attributes only; do not collect protected characteristics or screen tenants.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate create an objective property profile", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Open subject.json. Set area, bedrooms, bathrooms, square feet and currency for a practice property. Use property attributes only; do not collect protected characteristics or screen tenants. The subject file contains numeric beds/baths/size, one area and a currency.", "on_screen_text": [ "Create an objective property profile", "The subject file contains numeric beds/baths/size, one area and a currency." ], "screen_recording_instructions": [ "Open subject.json. Set area, bedrooms, bathrooms, square feet and currency for a practice property. Use property attributes only; do not collect protected characteristics or screen tenants.", "Inspect the result: The subject file contains numeric beds/baths/size, one area and a currency.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "The subject file contains numeric beds/baths/size, one area and a currency." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Open subject.json. Set area, bedrooms, bathrooms, square feet and currency for a practice property. Use property attributes only; do not collect protected characteristics or screen tenants.", "The subject file contains numeric beds/baths/size, one area and a currency." ] }, "step_id": "L01-S01", "lesson_id": "L01" }, { "title": "Set up the practice folder", "purpose": "A dedicated folder makes mistakes easy to diagnose and keeps real project files separate.", "user_action": "Download the resource ZIP at the top of this Build. Extract it into a new folder you own (for example C:\\BBBPractice on Windows, or ~/bbb-practice on macOS/Linux). Open a terminal in the extracted folder. Run the version command for your platform. All subsequent commands assume this folder.", "explanation": "A dedicated folder makes mistakes easy to diagnose and keeps real project files separate.", "estimated_time": "6 min", "action_type": "command", "commands": { "windows": "python --version\nGet-Location\nGet-ChildItem", "macos": "python3 --version\npwd\nls", "linux": "python3 --version\npwd\nls" }, "command_type": "shell", "required_inputs": [], "expected_result": "Python reports version 3.10 or newer and the terminal is in the extracted resource folder.", "resources": [], "checkpoint": { "what_is_being_checked": "Set up the practice folder", "success_condition": "Python reports version 3.10 or newer and the terminal is in the extracted resource folder.", "how_to_verify": "Record python reports version 3.10 or newer and the terminal is in the extracted resource folder. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "Python is 3.10 or newer.", "The listed files match the downloaded resources." ], "tokens": [], "user_visible_success_message": "Evidence saved. Python reports version 3.10 or newer and the terminal is in the extracted resource folder.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "Python or a file is not found", "likely_cause": "The terminal may be outside the extracted ZIP or Python may not be on PATH.", "diagnostic_question": "Does the file list include the resource named by the next step?", "fix": "Install Python from python.org with the PATH option; reopen the terminal and change into the extracted folder.", "alternative_fix": "Use py -3 on Windows if the Python launcher is installed. macOS/Linux commands use python3.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Install Python from python.org with the PATH option; reopen the terminal and change into the extracted folder." } ], "faqs": [ { "question": "How do I verify set up the practice folder?", "answer": "Python reports version 3.10 or newer and the terminal is in the extracted resource folder. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use your saved work from the previous step. Work in the same practice folder." } ], "quiz": null, "coach": { "intro": "We are going to set up the practice folder. Python reports version 3.10 or newer and the terminal is in the extracted resource folder.", "demo": "Download the resource ZIP at the top of this Build. Extract it into a new folder you own (for example C:\\BBBPractice on Windows, or ~/bbb-practice on macOS/Linux). Open a terminal in the extracted folder. Run the version command for your platform. All subsequent commands assume this folder.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Install Python from python.org with the PATH option; reopen the terminal and change into the extracted folder.", "help": "Does the file list include the resource named by the next step?" }, "video": { "purpose": "Demonstrate set up the practice folder", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Download the resource ZIP at the top of this Build. Extract it into a new folder you own (for example C:\\BBBPractice on Windows, or ~/bbb-practice on macOS/Linux). Open a terminal in the extracted folder. Run the version command for your platform. All subsequent commands assume this folder. Python reports version 3.10 or newer and the terminal is in the extracted resource folder.", "on_screen_text": [ "Set up the practice folder", "Python reports version 3.10 or newer and the terminal is in the extracted resource folder." ], "screen_recording_instructions": [ "Download the resource ZIP at the top of this Build. Extract it into a new folder you own (for example C:\\BBBPractice on Windows, or ~/bbb-practice on macOS/Linux). Open a terminal in the extracted folder. Run the version command for your platform. All subsequent commands assume this folder.", "Inspect the result: Python reports version 3.10 or newer and the terminal is in the extracted resource folder.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "Python reports version 3.10 or newer and the terminal is in the extracted resource folder." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Download the resource ZIP at the top of this Build. Extract it into a new folder you own (for example C:\\BBBPractice on Windows, or ~/bbb-practice on macOS/Linux). Open a terminal in the extracted folder. Run the version command for your platform. All subsequent commands assume this folder.", "Python reports version 3.10 or newer and the terminal is in the extracted resource folder." ] }, "step_id": "L02-S01", "lesson_id": "L02" }, { "title": "Inspect comparable listings", "purpose": "Mixed currencies, stale prices or unequal fee coverage can distort a comparison. Example.com listings are synthetic.", "user_action": "Open comps.csv and verify the source URL, observation time, currency, size and rent for every row. Use permitted exports/manual observations. Keep asking rents distinct from completed lease rents; note concessions, utilities and fees separately.", "explanation": "Mixed currencies, stale prices or unequal fee coverage can distort a comparison. Example.com listings are synthetic.", "estimated_time": "6 min", "action_type": "inspect", "commands": { "all": "" }, "command_type": "shell", "required_inputs": [ "comps.csv" ], "expected_result": "The sample has complete objective attributes and traceable sources; no private tenant data is present.", "resources": [ "comps.csv" ], "checkpoint": { "what_is_being_checked": "Inspect comparable listings", "success_condition": "The sample has complete objective attributes and traceable sources; no private tenant data is present.", "how_to_verify": "Record the sample has complete objective attributes and traceable sources; no private tenant data is present. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "The sample has complete objective attributes and traceable sources; no private tenant data is present.", "I can repeat this action from the saved input." ], "tokens": [], "user_visible_success_message": "Evidence saved. The sample has complete objective attributes and traceable sources; no private tenant data is present.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I verify inspect comparable listings?", "answer": "The sample has complete objective attributes and traceable sources; no private tenant data is present. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use comps.csv. Work in the same practice folder." } ], "quiz": null, "coach": { "intro": "We are going to inspect comparable listings. The sample has complete objective attributes and traceable sources; no private tenant data is present.", "demo": "Open comps.csv and verify the source URL, observation time, currency, size and rent for every row. Use permitted exports/manual observations. Keep asking rents distinct from completed lease rents; note concessions, utilities and fees separately.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate inspect comparable listings", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Open comps.csv and verify the source URL, observation time, currency, size and rent for every row. Use permitted exports/manual observations. Keep asking rents distinct from completed lease rents; note concessions, utilities and fees separately. The sample has complete objective attributes and traceable sources; no private tenant data is present.", "on_screen_text": [ "Inspect comparable listings", "The sample has complete objective attributes and traceable sources; no private tenant data is present." ], "screen_recording_instructions": [ "Open comps.csv and verify the source URL, observation time, currency, size and rent for every row. Use permitted exports/manual observations. Keep asking rents distinct from completed lease rents; note concessions, utilities and fees separately.", "Inspect the result: The sample has complete objective attributes and traceable sources; no private tenant data is present.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "The sample has complete objective attributes and traceable sources; no private tenant data is present." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Open comps.csv and verify the source URL, observation time, currency, size and rent for every row. Use permitted exports/manual observations. Keep asking rents distinct from completed lease rents; note concessions, utilities and fees separately.", "The sample has complete objective attributes and traceable sources; no private tenant data is present." ] }, "step_id": "L02-S02", "lesson_id": "L02" }, { "title": "Run the comparable filter", "purpose": "The starter requires the same area, bedroom count, bathroom count and currency, and accepts sizes within 20% of the subject. The duplicate a3 is excluded.", "user_action": "Run rental_comps.py using subject.json. Open rental-report.json and inspect the included IDs.", "explanation": "The starter requires the same area, bedroom count, bathroom count and currency, and accepts sizes within 20% of the subject. The duplicate a3 is excluded.", "estimated_time": "6 min", "action_type": "command", "commands": { "windows": "python rental_comps.py comps.csv --subject subject.json --out rental-report.json", "macos": "python3 rental_comps.py comps.csv --subject subject.json --out rental-report.json", "linux": "python3 rental_comps.py comps.csv --subject subject.json --out rental-report.json" }, "command_type": "shell", "required_inputs": [ "rental_comps.py", "comps.csv", "subject.json" ], "expected_result": "COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD.", "resources": [ "rental_comps.py", "comps.csv", "subject.json" ], "checkpoint": { "what_is_being_checked": "Run the comparable filter", "success_condition": "COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD.", "how_to_verify": "Record cOMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD.", "I can repeat this action from the saved input." ], "tokens": [ "COMPS PASS", "median 2000" ], "user_visible_success_message": "Evidence saved. COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I verify run the comparable filter?", "answer": "COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use rental_comps.py, comps.csv, subject.json. Work in the same practice folder." } ], "quiz": null, "coach": { "intro": "We are going to run the comparable filter. COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD.", "demo": "Run rental_comps.py using subject.json. Open rental-report.json and inspect the included IDs.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate run the comparable filter", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Run rental_comps.py using subject.json. Open rental-report.json and inspect the included IDs. COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD.", "on_screen_text": [ "Run the comparable filter", "COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD." ], "screen_recording_instructions": [ "Run rental_comps.py using subject.json. Open rental-report.json and inspect the included IDs.", "Inspect the result: COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Run rental_comps.py using subject.json. Open rental-report.json and inspect the included IDs.", "COMPS PASS reports 3 comparable properties and median 2000.0; normalized reference is 2000.0 USD." ] }, "step_id": "L03-S01", "lesson_id": "L03" }, { "title": "Check sample size and normalization", "purpose": "Size normalization does not adjust condition, parking, lease length, geography or fees. Median asking rent is a summary of this chosen sample.", "user_action": "For each included property divide monthly asking rent by square feet. Compare the median of these ratios with the median asking rent. Write why a three-property synthetic sample cannot establish market value.", "explanation": "Size normalization does not adjust condition, parking, lease length, geography or fees. Median asking rent is a summary of this chosen sample.", "estimated_time": "6 min", "action_type": "inspect", "commands": { "all": "" }, "command_type": "shell", "required_inputs": [ "rental_comps.py", "lead-review.md" ], "expected_result": "The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded.", "resources": [ "rental_comps.py", "lead-review.md" ], "checkpoint": { "what_is_being_checked": "Check sample size and normalization", "success_condition": "The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded.", "how_to_verify": "Record the calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded.", "I can repeat this action from the saved input." ], "tokens": [], "user_visible_success_message": "Evidence saved. The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I verify check sample size and normalization?", "answer": "The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use rental_comps.py, lead-review.md. Work in the same practice folder." } ], "quiz": { "question": "Does this report prove what a tenant will pay?", "answer_type": "single_choice", "choices": [ "No; it summarizes selected asking rents with explicit limits.", "Yes; median asking rent is a guaranteed completed lease price." ], "correct_answer": 0, "explanation": "Listing prices, sample selection and concessions can differ from executed leases." }, "coach": { "intro": "We are going to check sample size and normalization. The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded.", "demo": "For each included property divide monthly asking rent by square feet. Compare the median of these ratios with the median asking rent. Write why a three-property synthetic sample cannot establish market value.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate check sample size and normalization", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "For each included property divide monthly asking rent by square feet. Compare the median of these ratios with the median asking rent. Write why a three-property synthetic sample cannot establish market value. The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded.", "on_screen_text": [ "Check sample size and normalization", "The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded." ], "screen_recording_instructions": [ "For each included property divide monthly asking rent by square feet. Compare the median of these ratios with the median asking rent. Write why a three-property synthetic sample cannot establish market value.", "Inspect the result: The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "For each included property divide monthly asking rent by square feet. Compare the median of these ratios with the median asking rent. Write why a three-property synthetic sample cannot establish market value.", "The calculations explain 2.0 USD/sqft and a size-normalized 2000.0 reference for 1000 sqft; limitations are recorded." ] }, "step_id": "L04-S01", "lesson_id": "L04" }, { "title": "Prove the filter respects property criteria", "purpose": "Missing data must remain missing. The report should not invent a rent when no comparable passes.", "user_action": "Copy subject.json to subject-empty.json and choose an area absent from the CSV. Rerun. Then add one malformed sqft value to a copy of comps.csv. Record the zero-sample result and the rejected-row reason.", "explanation": "Missing data must remain missing. The report should not invent a rent when no comparable passes.", "estimated_time": "6 min", "action_type": "command", "commands": { "windows": "python rental_comps.py comps.csv --subject subject-empty.json --out empty-report.json", "macos": "python3 rental_comps.py comps.csv --subject subject-empty.json --out empty-report.json", "linux": "python3 rental_comps.py comps.csv --subject subject-empty.json --out empty-report.json" }, "command_type": "shell", "required_inputs": [ "subject.json", "comps.csv", "rental_comps.py" ], "expected_result": "The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected.", "resources": [ "subject.json", "comps.csv", "rental_comps.py" ], "checkpoint": { "what_is_being_checked": "Prove the filter respects property criteria", "success_condition": "The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected.", "how_to_verify": "Record the absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected.", "I can repeat this action from the saved input." ], "tokens": [], "user_visible_success_message": "Evidence saved. The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I verify prove the filter respects property criteria?", "answer": "The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use subject.json, comps.csv, rental_comps.py. Work in the same practice folder." } ], "quiz": null, "coach": { "intro": "We are going to prove the filter respects property criteria. The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected.", "demo": "Copy subject.json to subject-empty.json and choose an area absent from the CSV. Rerun. Then add one malformed sqft value to a copy of comps.csv. Record the zero-sample result and the rejected-row reason.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate prove the filter respects property criteria", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Copy subject.json to subject-empty.json and choose an area absent from the CSV. Rerun. Then add one malformed sqft value to a copy of comps.csv. Record the zero-sample result and the rejected-row reason. The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected.", "on_screen_text": [ "Prove the filter respects property criteria", "The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected." ], "screen_recording_instructions": [ "Copy subject.json to subject-empty.json and choose an area absent from the CSV. Rerun. Then add one malformed sqft value to a copy of comps.csv. Record the zero-sample result and the rejected-row reason.", "Inspect the result: The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Copy subject.json to subject-empty.json and choose an area absent from the CSV. Rerun. Then add one malformed sqft value to a copy of comps.csv. Record the zero-sample result and the rejected-row reason.", "The absent area yields sample_size 0 with no fabricated median; malformed rows are explicitly rejected." ] }, "step_id": "L05-S01", "lesson_id": "L05" }, { "title": "Prepare one source-linked lead", "purpose": "This course creates a reviewed research queue. It does not send outreach, make financial recommendations, or automate housing eligibility.", "user_action": "Fill lead-review.md for one included property. Record objective facts, observed time, concessions and the next manual action. Keep the report separate from tenant decisions.", "explanation": "This course creates a reviewed research queue. It does not send outreach, make financial recommendations, or automate housing eligibility.", "estimated_time": "6 min", "action_type": "inspect", "commands": { "all": "" }, "command_type": "shell", "required_inputs": [ "lead-review.md" ], "expected_result": "One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action.", "resources": [ "lead-review.md" ], "checkpoint": { "what_is_being_checked": "Prepare one source-linked lead", "success_condition": "One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action.", "how_to_verify": "Record one reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action.", "I can repeat this action from the saved input." ], "tokens": [], "user_visible_success_message": "Evidence saved. One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I verify prepare one source-linked lead?", "answer": "One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use lead-review.md. Work in the same practice folder." } ], "quiz": null, "coach": { "intro": "We are going to prepare one source-linked lead. One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action.", "demo": "Fill lead-review.md for one included property. Record objective facts, observed time, concessions and the next manual action. Keep the report separate from tenant decisions.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate prepare one source-linked lead", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Fill lead-review.md for one included property. Record objective facts, observed time, concessions and the next manual action. Keep the report separate from tenant decisions. One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action.", "on_screen_text": [ "Prepare one source-linked lead", "One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action." ], "screen_recording_instructions": [ "Fill lead-review.md for one included property. Record objective facts, observed time, concessions and the next manual action. Keep the report separate from tenant decisions.", "Inspect the result: One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Fill lead-review.md for one included property. Record objective facts, observed time, concessions and the next manual action. Keep the report separate from tenant decisions.", "One reviewed lead has the original URL, dated facts, fees/assumptions and a draft next action." ] }, "step_id": "L06-S01", "lesson_id": "L06" }, { "title": "Deliver the final comparison", "purpose": "COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs.", "user_action": "Use a permitted sample of your own or create at least four clearly synthetic property cases. Include a duplicate and one non-comparable. Run the report and explain every included/excluded ID, sample size and median.", "explanation": "Keep the input and the observed result together so you can reproduce this action later.", "estimated_time": "6 min", "action_type": "command", "commands": { "windows": "python rental_comps.py comps.csv --subject subject.json --out rental-report.json", "macos": "python3 rental_comps.py comps.csv --subject subject.json --out rental-report.json", "linux": "python3 rental_comps.py comps.csv --subject subject.json --out rental-report.json" }, "command_type": "shell", "required_inputs": [ "rental_comps.py", "lead-review.md" ], "expected_result": "COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs.", "resources": [ "rental_comps.py", "lead-review.md" ], "checkpoint": { "what_is_being_checked": "Deliver the final comparison", "success_condition": "COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs.", "how_to_verify": "Record cOMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs.", "I can repeat this action from the saved input." ], "tokens": [ "COMPS PASS" ], "user_visible_success_message": "Evidence saved. COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I verify deliver the final comparison?", "answer": "COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use rental_comps.py, lead-review.md. Work in the same practice folder." } ], "quiz": null, "coach": { "intro": "We are going to deliver the final comparison. COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs.", "demo": "Use a permitted sample of your own or create at least four clearly synthetic property cases. Include a duplicate and one non-comparable. Run the report and explain every included/excluded ID, sample size and median.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate deliver the final comparison", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Use a permitted sample of your own or create at least four clearly synthetic property cases. Include a duplicate and one non-comparable. Run the report and explain every included/excluded ID, sample size and median. COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs.", "on_screen_text": [ "Deliver the final comparison", "COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs." ], "screen_recording_instructions": [ "Use a permitted sample of your own or create at least four clearly synthetic property cases. Include a duplicate and one non-comparable. Run the report and explain every included/excluded ID, sample size and median.", "Inspect the result: COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Use a permitted sample of your own or create at least four clearly synthetic property cases. Include a duplicate and one non-comparable. Run the report and explain every included/excluded ID, sample size and median.", "COMPS PASS and a source-linked report are reproducible, with honest limits and no duplicate IDs." ] }, "step_id": "L07-S01", "lesson_id": "L07" }, { "title": "Write a repeatable onboarding checklist", "purpose": "The September 23 BuildBotsBetter profile wipe removed Desktop, Documents and hidden agent memory together. Repeatable onboarding protects the knowledge needed to recover.", "user_action": "Fill in onboarding-checklist.md for your agent. Record AGENTS.md, the tool’s user settings and memory folder, the assigned workspace, permissions, guard location, backup schedule, and a final proof task. Keep the checklist in your project.", "explanation": "The September 23 BuildBotsBetter profile wipe removed Desktop, Documents and hidden agent memory together. Repeatable onboarding protects the knowledge needed to recover.", "estimated_time": "6 min", "action_type": "inspect", "commands": { "all": "" }, "command_type": "shell", "required_inputs": [ "onboarding-checklist.md" ], "expected_result": "The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification.", "resources": [ "onboarding-checklist.md" ], "checkpoint": { "what_is_being_checked": "Write a repeatable onboarding checklist", "success_condition": "The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification.", "how_to_verify": "Record the checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification.", "I can repeat this action from the saved input." ], "tokens": [], "user_visible_success_message": "Evidence saved. The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I verify write a repeatable onboarding checklist?", "answer": "The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use onboarding-checklist.md. Work in the same practice folder." } ], "quiz": null, "coach": { "intro": "We are going to write a repeatable onboarding checklist. The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification.", "demo": "Fill in onboarding-checklist.md for your agent. Record AGENTS.md, the tool’s user settings and memory folder, the assigned workspace, permissions, guard location, backup schedule, and a final proof task. Keep the checklist in your project.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate write a repeatable onboarding checklist", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Fill in onboarding-checklist.md for your agent. Record AGENTS.md, the tool’s user settings and memory folder, the assigned workspace, permissions, guard location, backup schedule, and a final proof task. Keep the checklist in your project. The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification.", "on_screen_text": [ "Write a repeatable onboarding checklist", "The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification." ], "screen_recording_instructions": [ "Fill in onboarding-checklist.md for your agent. Record AGENTS.md, the tool’s user settings and memory folder, the assigned workspace, permissions, guard location, backup schedule, and a final proof task. Keep the checklist in your project.", "Inspect the result: The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Fill in onboarding-checklist.md for your agent. Record AGENTS.md, the tool’s user settings and memory folder, the assigned workspace, permissions, guard location, backup schedule, and a final proof task. Keep the checklist in your project.", "The checklist contains a concrete path and owner for rules, memory, permissions, guard, backup, restore and final verification." ] }, "step_id": "L08-S01", "lesson_id": "L08" }, { "title": "Demonstrate the variable-path limit safely", "purpose": "A command-text hook can miss a target computed inside a script or variable. This demonstrator checks resolved paths but is not an operating-system sandbox. For a real operation, enforce the resolved boundary at the operation itself; symlinks and races still require care.", "user_action": "Run workspace_guard.py --self-test. Read the source: the target is resolved before deciding. The variable_target case points at the home folder but performs no filesystem operation. Compare this with a hook that sees only command text.", "explanation": "A command-text hook can miss a target computed inside a script or variable. This demonstrator checks resolved paths but is not an operating-system sandbox. For a real operation, enforce the resolved boundary at the operation itself; symlinks and races still require care.", "estimated_time": "6 min", "action_type": "command", "commands": { "windows": "python workspace_guard.py --self-test", "macos": "python3 workspace_guard.py --self-test", "linux": "python3 workspace_guard.py --self-test" }, "command_type": "shell", "required_inputs": [ "workspace_guard.py" ], "expected_result": "GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed.", "resources": [ "workspace_guard.py" ], "checkpoint": { "what_is_being_checked": "Demonstrate the variable-path limit safely", "success_condition": "GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed.", "how_to_verify": "Record gUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed.", "I can repeat this action from the saved input." ], "tokens": [ "GUARD PASS" ], "user_visible_success_message": "Evidence saved. GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I verify demonstrate the variable-path limit safely?", "answer": "GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use workspace_guard.py. Work in the same practice folder." } ], "quiz": { "question": "Does a command-text hook guarantee safety for a path computed inside a script?", "answer_type": "single_choice", "choices": [ "No; add enforcement at the resolved operation boundary and independent recovery.", "Yes, because the command looks harmless." ], "correct_answer": 0, "explanation": "The profile-wipe failure can involve a runtime variable whose value the text hook cannot see." }, "coach": { "intro": "We are going to demonstrate the variable-path limit safely. GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed.", "demo": "Run workspace_guard.py --self-test. Read the source: the target is resolved before deciding. The variable_target case points at the home folder but performs no filesystem operation. Compare this with a hook that sees only command text.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate demonstrate the variable-path limit safely", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Run workspace_guard.py --self-test. Read the source: the target is resolved before deciding. The variable_target case points at the home folder but performs no filesystem operation. Compare this with a hook that sees only command text. GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed.", "on_screen_text": [ "Demonstrate the variable-path limit safely", "GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed." ], "screen_recording_instructions": [ "Run workspace_guard.py --self-test. Read the source: the target is resolved before deciding. The variable_target case points at the home folder but performs no filesystem operation. Compare this with a hook that sees only command text.", "Inspect the result: GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Run workspace_guard.py --self-test. Read the source: the target is resolved before deciding. The variable_target case points at the home folder but performs no filesystem operation. Compare this with a hook that sees only command text.", "GUARD PASS reports inside allowed and profile, outside, variable-derived profile and workspace root denied; no deletion was executed." ] }, "step_id": "L08-S02", "lesson_id": "L08" }, { "title": "Verify the actual protection in your tool", "purpose": "A broken hook that blocks everything can look like protection. Some tools fail open when hooks fail. Codex hook changes need review/trust; Grok Build needs its own deny protocol; Antigravity uses a different JSON protocol. Never treat a prompt rule or an inactive hook as enforcement.", "user_action": "For CLI tools, open the hook/permissions screen and confirm the configured guard is active. Use your tool’s documented pre-command hook protocol; the BBB working reference is linked in Sources. Run a harmless directory listing, then a guard dry-run targeting the profile. Do not execute a destructive profile probe. Grok Bot has no proven local shell guard here: use project-only tasks and reviewed actions, with backups.", "explanation": "A broken hook that blocks everything can look like protection. Some tools fail open when hooks fail. Codex hook changes need review/trust; Grok Build needs its own deny protocol; Antigravity uses a different JSON protocol. Never treat a prompt rule or an inactive hook as enforcement.", "estimated_time": "6 min", "action_type": "inspect", "commands": { "all": "" }, "command_type": "shell", "required_inputs": [ "workspace_guard.py", "onboarding-checklist.md" ], "expected_result": "A harmless command runs, the guard dry-run returns DENY, and the checklist records the actual hook protocol and active state or the Grok Bot limitation.", "resources": [ "workspace_guard.py", "onboarding-checklist.md" ], "checkpoint": { "what_is_being_checked": "Verify the actual protection in your tool", "success_condition": "A harmless command runs, the guard dry-run returns DENY, and the checklist records the actual hook protocol and active state or the Grok Bot limitation.", "how_to_verify": "Record a harmless command runs, the guard dry-run returns DENY, and the checklist records the actual hook protocol and active state or the Grok Bot limitation. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "The harmless command succeeds.", "The boundary dry-run denies a profile target.", "I recorded the tool’s active hook state, or explicitly recorded that this tool has no working local guard." ], "tokens": [], "user_visible_success_message": "Evidence saved. A harmless command runs, the guard dry-run returns DENY, and the checklist records the actual hook protocol and active state or the Grok Bot limitation.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I install a guard for this tool?", "answer": "Use the linked BBB safety reference for the exact tool/version protocol. Merge into the existing hooks instead of overwriting settings. Review/trust the hook if required, then verify a harmless call and a denied dry-run. The workspace_guard.py file is a teaching demonstration, not a universal hook adapter." }, { "question": "Does Grok Bot have a working local delete guard?", "answer": "The project’s live September 29 tests found no working shell hook. Restrict the tasks and workspace you hand it, keep independent backups, and do not claim local deletion is guarded." } ], "quiz": null, "coach": { "intro": "We are going to verify the actual protection in your tool. A harmless command runs, the guard dry-run returns DENY, and the checklist records the actual hook protocol and active state or the Grok Bot limitation.", "demo": "For CLI tools, open the hook/permissions screen and confirm the configured guard is active. Use your tool’s documented pre-command hook protocol; the BBB working reference is linked in Sources. Run a harmless directory listing, then a guard dry-run targeting the profile. Do not execute a destructive profile probe. Grok Bot has no proven local shell guard here: use project-only tasks and reviewed actions, with backups.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate verify the actual protection in your tool", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "For CLI tools, open the hook/permissions screen and confirm the configured guard is active. Use your tool’s documented pre-command hook protocol; the BBB working reference is linked in Sources. Run a harmless directory listing, then a guard dry-run targeting the profile. Do not execute a destructive profile probe. Grok Bot has no proven local shell guard here: use project-only tasks and reviewed actions, with backups. A harmless command runs, the guard dry-run returns DENY, and the checklist records the actual hook protocol and active state or the Grok Bot limitation.", "on_screen_text": [ "Verify the actual protection in your tool", "A harmless command runs, the guard dry-run returns DENY, and the checklist records the actual hook protocol and active state or the Grok Bot limitation." ], "screen_recording_instructions": [ "For CLI tools, open the hook/permissions screen and confirm the configured guard is active. Use your tool’s documented pre-command hook protocol; the BBB working reference is linked in Sources. Run a harmless directory listing, then a guard dry-run targeting the profile. Do not execute a destructive profile probe. Grok Bot has no proven local shell guard here: use project-only tasks and reviewed actions, with backups.", "Inspect the result: A harmless command runs, the guard dry-run returns DENY, and the checklist records the actual hook protocol and active state or the Grok Bot limitation.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "A harmless command runs, the guard dry-run returns DENY, and the checklist records the actual hook protocol and active state or the Grok Bot limitation." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "For CLI tools, open the hook/permissions screen and confirm the configured guard is active. Use your tool’s documented pre-command hook protocol; the BBB working reference is linked in Sources. Run a harmless directory listing, then a guard dry-run targeting the profile. Do not execute a destructive profile probe. Grok Bot has no proven local shell guard here: use project-only tasks and reviewed actions, with backups.", "A harmless command runs, the guard dry-run returns DENY, and the checklist records the actual hook protocol and active state or the Grok Bot limitation." ] }, "step_id": "L08-S03", "lesson_id": "L08" }, { "title": "Enable a real backup of memory and project files", "purpose": "System Restore alone is not a personal-file backup. Previous Versions can disappear as shadow storage fills; OneDrive’s common-folder backup omits hidden agent folders.", "user_action": "Connect a second backup drive. Windows: configure System Protection as additional recovery and use a scheduled copy/File History that explicitly includes hidden agent folders. macOS: configure Time Machine and verify dot folders are included. Linux: use a home backup such as restic/Deja Dup; Timeshift omits /home by default. Download the copy-only profile backup script for your platform, inspect it, and adapt the folder list to your tool. Record the last successful scheduled run; protect backup access because it may contain credentials.", "explanation": "System Restore alone is not a personal-file backup. Previous Versions can disappear as shadow storage fills; OneDrive’s common-folder backup omits hidden agent folders.", "estimated_time": "6 min", "action_type": "command", "commands": { "windows": ".\\profile-backup.ps1 -Destination D:\\Backups\\llm-profiles", "macos": "bash profile-backup.sh /Volumes/YourBackup/llm-profiles", "linux": "bash profile-backup.sh /media/YourBackup/llm-profiles" }, "command_type": "shell", "required_inputs": [ "profile-backup.ps1", "profile-backup.sh", "onboarding-checklist.md" ], "expected_result": "A backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded.", "resources": [ "profile-backup.ps1", "profile-backup.sh", "onboarding-checklist.md" ], "checkpoint": { "what_is_being_checked": "Enable a real backup of memory and project files", "success_condition": "A backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded.", "how_to_verify": "Record a backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "The destination is a mounted second drive.", "The hidden memory/settings folders and project files are included.", "An automated backup is enabled and its latest successful run is recorded." ], "tokens": [], "user_visible_success_message": "Evidence saved. A backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The backup drive is missing or the script reports a failure", "likely_cause": "The destination may be on the same volume, unmounted, or unwritable.", "diagnostic_question": "Can you create a scratch file on the actual second drive?", "fix": "Mount the drive and choose an accessible backup directory. Inspect every error; robocopy codes 8 and higher are failures.", "alternative_fix": "Use the operating system backup application and verify the same folder coverage and successful run.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Mount the drive and choose an accessible backup directory. Inspect every error; robocopy codes 8 and higher are failures." } ], "faqs": [ { "question": "How do I verify enable a real backup of memory and project files?", "answer": "A backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use profile-backup.ps1, profile-backup.sh, onboarding-checklist.md. Work in the same practice folder." } ], "quiz": null, "coach": { "intro": "We are going to enable a real backup of memory and project files. A backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded.", "demo": "Connect a second backup drive. Windows: configure System Protection as additional recovery and use a scheduled copy/File History that explicitly includes hidden agent folders. macOS: configure Time Machine and verify dot folders are included. Linux: use a home backup such as restic/Deja Dup; Timeshift omits /home by default. Download the copy-only profile backup script for your platform, inspect it, and adapt the folder list to your tool. Record the last successful scheduled run; protect backup access because it may contain credentials.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Mount the drive and choose an accessible backup directory. Inspect every error; robocopy codes 8 and higher are failures.", "help": "Can you create a scratch file on the actual second drive?" }, "video": { "purpose": "Demonstrate enable a real backup of memory and project files", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Connect a second backup drive. Windows: configure System Protection as additional recovery and use a scheduled copy/File History that explicitly includes hidden agent folders. macOS: configure Time Machine and verify dot folders are included. Linux: use a home backup such as restic/Deja Dup; Timeshift omits /home by default. Download the copy-only profile backup script for your platform, inspect it, and adapt the folder list to your tool. Record the last successful scheduled run; protect backup access because it may contain credentials. A backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded.", "on_screen_text": [ "Enable a real backup of memory and project files", "A backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded." ], "screen_recording_instructions": [ "Connect a second backup drive. Windows: configure System Protection as additional recovery and use a scheduled copy/File History that explicitly includes hidden agent folders. macOS: configure Time Machine and verify dot folders are included. Linux: use a home backup such as restic/Deja Dup; Timeshift omits /home by default. Download the copy-only profile backup script for your platform, inspect it, and adapt the folder list to your tool. Record the last successful scheduled run; protect backup access because it may contain credentials.", "Inspect the result: A backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "A backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Connect a second backup drive. Windows: configure System Protection as additional recovery and use a scheduled copy/File History that explicitly includes hidden agent folders. macOS: configure Time Machine and verify dot folders are included. Linux: use a home backup such as restic/Deja Dup; Timeshift omits /home by default. Download the copy-only profile backup script for your platform, inspect it, and adapt the folder list to your tool. Record the last successful scheduled run; protect backup access because it may contain credentials.", "A backup on another drive includes the tool’s user settings and memory folder and this project, and a successful schedule/time is recorded." ] }, "step_id": "L08-S04", "lesson_id": "L08" }, { "title": "Practice a hash-verified restore", "purpose": "A backup becomes useful only when restoration has been practiced. A same-volume practice copy proves the procedure but not protection against disk failure.", "user_action": "Run restore_drill.py with a separate backup directory. The script creates a new proof file, copies it, restores a second copy, and compares SHA256 hashes. Then restore one non-secret file from your actual agent memory backup into a separate scratch directory and open it; do not overwrite the live profile.", "explanation": "A backup becomes useful only when restoration has been practiced. A same-volume practice copy proves the procedure but not protection against disk failure.", "estimated_time": "6 min", "action_type": "command", "commands": { "windows": "python restore_drill.py --backup-root D:\\Backups\\bbb-practice --work-root practice", "macos": "python3 restore_drill.py --backup-root /Volumes/YourBackup/bbb-practice --work-root practice", "linux": "python3 restore_drill.py --backup-root /media/YourBackup/bbb-practice --work-root practice" }, "command_type": "shell", "required_inputs": [ "restore_drill.py" ], "expected_result": "RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch.", "resources": [ "restore_drill.py" ], "checkpoint": { "what_is_being_checked": "Practice a hash-verified restore", "success_condition": "RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch.", "how_to_verify": "Record rESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch. Include the actual result or a specific observation; do not paste credentials.", "criteria": [ "The proof file SHA256 hashes match.", "I restored and opened a non-secret memory/settings file from my real backup.", "The restored file is in scratch; the live profile was not overwritten." ], "tokens": [ "RESTORE PASS" ], "user_visible_success_message": "Evidence saved. RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch.", "failure_message": "Compare the observed output with the required result before continuing.", "troubleshooting_path": "Open the help for this step." }, "troubleshooting": [ { "problem": "The result differs from the checkpoint", "likely_cause": "You may be in a different folder or using a different input/version.", "diagnostic_question": "What is the current directory, exact command, exit code and complete output?", "fix": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "alternative_fix": "Open the supplied resource and inspect the input manually; use the expected-result example to narrow the difference.", "when_to_escalate": "Stop after two explained attempts if the problem needs account access, permissions or changes outside this workspace. Share redacted evidence.", "bot_coach_response": "Compare the input filename and working directory with this step. Rerun only after correcting that difference." } ], "faqs": [ { "question": "How do I verify practice a hash-verified restore?", "answer": "RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch. Keep the command or observation with your evidence." }, { "question": "Which files do I need for this step?", "answer": "Use restore_drill.py. Work in the same practice folder." } ], "quiz": null, "coach": { "intro": "We are going to practice a hash-verified restore. RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch.", "demo": "Run restore_drill.py with a separate backup directory. The script creates a new proof file, copies it, restores a second copy, and compares SHA256 hashes. Then restore one non-secret file from your actual agent memory backup into a separate scratch directory and open it; do not overwrite the live profile.", "handoff": "Try this in your own practice workspace, then compare the result.", "success": "Keep that result with your evidence.", "failure": "Compare the input filename and working directory with this step. Rerun only after correcting that difference.", "help": "What is the current directory, exact command, exit code and complete output?" }, "video": { "purpose": "Demonstrate practice a hash-verified restore", "duration_target": "45–75 seconds", "visual_type": "step walkthrough with optional browser narration; no rendered video is claimed", "narration_script": "Run restore_drill.py with a separate backup directory. The script creates a new proof file, copies it, restores a second copy, and compares SHA256 hashes. Then restore one non-secret file from your actual agent memory backup into a separate scratch directory and open it; do not overwrite the live profile. RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch.", "on_screen_text": [ "Practice a hash-verified restore", "RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch." ], "screen_recording_instructions": [ "Run restore_drill.py with a separate backup directory. The script creates a new proof file, copies it, restores a second copy, and compares SHA256 hashes. Then restore one non-secret file from your actual agent memory backup into a separate scratch directory and open it; do not overwrite the live profile.", "Inspect the result: RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch.", "Record the evidence and check each criterion." ], "animation_instructions": "Highlight the action, then the corresponding result; avoid motion during command copying.", "cursor_instructions": "Point to the exact input and checkpoint; do not hide errors.", "important_visuals": [ "RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch." ], "bot_position": "right sidebar", "bot_expression": "calm", "transition": "Continue after checkpoint", "captions": [ "Run restore_drill.py with a separate backup directory. The script creates a new proof file, copies it, restores a second copy, and compares SHA256 hashes. Then restore one non-secret file from your actual agent memory backup into a separate scratch directory and open it; do not overwrite the live profile.", "RESTORE PASS contains matching hashes; the actual memory file is readable after restoration into scratch." ] }, "step_id": "L08-S05", "lesson_id": "L08" } ], "resources": [ { "resource_id": "R001", "name": "workspace_guard.py", "type": "py", "purpose": "Working resource used by this Build; inspect before running.", "contents": "# VERSION HISTORY\n# 2026-10-05 EDT | chatgpt_codex | overnight-catalog | v1: learner resource.\n\"\"\"Dry-run resolved-path boundary demonstration. This script never deletes anything.\"\"\"\nimport argparse\nfrom pathlib import Path\n\ndef permitted(target, workspace):\n root = Path(workspace).resolve()\n candidate = Path(target).resolve()\n home = Path.home().resolve()\n if root == home or root == root.anchor or root in home.parents:\n return False\n return candidate != root and root in candidate.parents and candidate != home and candidate not in home.parents\n\ndef main():\n p=argparse.ArgumentParser(description=__doc__)\n p.add_argument('--workspace',default='practice')\n p.add_argument('--target')\n p.add_argument('--self-test',action='store_true')\n a=p.parse_args()\n root=Path(a.workspace).resolve()\n if a.self_test:\n assert permitted(root/'proof.txt',root)\n assert not permitted(Path.home(),root)\n assert not permitted(root.parent/'outside.txt',root)\n assert not permitted(root,root)\n variable_target=Path.home()\n assert not permitted(variable_target,root)\n print('GUARD PASS: inside allowed; profile, variable-derived profile, outside, workspace root denied; no deletion executed')\n else:\n if not a.target:p.error('--target required')\n allowed=permitted(a.target,a.workspace)\n print(('ALLOW' if allowed else 'DENY')+': resolved boundary; dry-run only')\n raise SystemExit(0 if allowed else 2)\nif __name__=='__main__':main()\n", "filename": "workspace_guard.py", "generated_from": "BUILD_SPEC.json.resources", "version": "2.0" }, { "resource_id": "R002", "name": "restore_drill.py", "type": "py", "purpose": "Working resource used by this Build; inspect before running.", "contents": "# VERSION HISTORY\n# 2026-10-05 EDT | chatgpt_codex | overnight-catalog | v1: learner resource.\n\"\"\"Backup and restore a new proof file only; never edits an existing file or profile.\"\"\"\nimport argparse,hashlib,json,logging\nfrom datetime import datetime,timezone\nfrom pathlib import Path\nimport shutil\ndef digest(p):return hashlib.sha256(p.read_bytes()).hexdigest()\ndef main():\n a=argparse.ArgumentParser(description=__doc__)\n a.add_argument('--backup-root',required=True)\n a.add_argument('--work-root',default='practice')\n x=a.parse_args()\n run=datetime.now(timezone.utc).strftime('%Y%m%dT%H%M%S%fZ')\n work=Path(x.work_root).resolve()/('restore-'+run)\n backup=Path(x.backup_root).resolve()/('restore-'+run)\n if work==backup or work in backup.parents or backup in work.parents:raise SystemExit('Use separate, non-overlapping work and backup roots')\n work.mkdir(parents=True,exist_ok=False);backup.mkdir(parents=True,exist_ok=False)\n logging.basicConfig(filename=work/'drill.log',encoding='utf-8',level=logging.INFO)\n source=work/'proof.txt';source.write_text('BuildBotsBetter restore proof '+run,encoding='utf-8')\n shutil.copy2(source,backup/'proof.txt')\n restored=work/'restored.txt';shutil.copy2(backup/'proof.txt',restored)\n assert digest(source)==digest(restored)\n receipt={'result':'RESTORE PASS','source_sha256':digest(source),'restored_sha256':digest(restored),'backup_root':str(backup),'off_volume':work.anchor.lower()!=backup.anchor.lower(),'scope':'new proof file only; does not establish a scheduled profile backup'}\n (work/'receipt.json').write_text(json.dumps(receipt,indent=2),encoding='utf-8')\n logging.info('Proof backup and hash-verified restore completed')\n print(json.dumps(receipt,indent=2))\n if not receipt['off_volume']:print('SAME VOLUME: practice passed; configure a second drive for disaster recovery')\nif __name__=='__main__':main()\n", "filename": "restore_drill.py", "generated_from": "BUILD_SPEC.json.resources", "version": "2.0" }, { "resource_id": "R003", "name": "onboarding-checklist.md", "type": "md", "purpose": "Working resource used by this Build; inspect before running.", "contents": "# Repeatable agent onboarding\nagent:\ntool version:\nrules file:\nmemory/settings location:\nassigned workspace:\npermissions / actions needing approval:\nhook location and protocol:\nguard active (harmless command + denied dry-run):\nvariable-derived path limit understood:\nbackup destination (second drive):\nbackup schedule / last successful run:\nrestored memory file / matching SHA256:\nfinal task / evidence / reviewer:\n\nProtect memory/settings and project files. A prompt rule is not an operating-system boundary.\nA command-text hook can miss a path computed in a script or variable. Resolve paths at the\noperation boundary and fail closed; keep independent backups and monitoring.\nWindows System Restore reverts system components, not a reliable personal-file backup.\nOneDrive folder backup does not automatically include hidden agent folders.\nmacOS: check Time Machine includes hidden agent folders. Linux: Timeshift excludes /home by\ndefault; use a separate home backup or explicitly include it.\n", "filename": "onboarding-checklist.md", "generated_from": "BUILD_SPEC.json.resources", "version": "2.0" }, { "resource_id": "R004", "name": "profile-backup.ps1", "type": "ps1", "purpose": "Working resource used by this Build; inspect before running.", "contents": "# VERSION HISTORY\n# 2026-10-05 EDT | chatgpt_codex | overnight-catalog | v1: copy-only explicit profile backup.\nparam([Parameter(Mandatory=$true)][string]$Destination,[string]$ProjectPath=(Get-Location).Path)\n$ErrorActionPreference='Stop'\n$destRoot=[IO.Path]::GetFullPath($Destination)\n$profileRoot=[IO.Path]::GetFullPath($env:USERPROFILE)\nif ([IO.Path]::GetPathRoot($destRoot) -eq [IO.Path]::GetPathRoot($profileRoot)) { throw 'Choose a backup destination on a second drive.' }\nif (-not (Test-Path -LiteralPath ([IO.Path]::GetPathRoot($destRoot)))) { throw 'Backup drive is unavailable.' }\n$runDir=Join-Path $destRoot (Get-Date -Format 'yyyyMMdd-HHmmss-fff')\nNew-Item -ItemType Directory -Path $runDir -ErrorAction Stop | Out-Null\nforeach ($folderName in @('.codex','.claude','.grok','.qwen','.gemini')) {\n $sourceDir=Join-Path $profileRoot $folderName\n if (Test-Path -LiteralPath $sourceDir) {\n $copyDir=Join-Path $runDir $folderName\n & robocopy $sourceDir $copyDir /E /XJ /R:1 /W:1 /COPY:DAT /DCOPY:DAT /NP\n if ($LASTEXITCODE -ge 8) { throw \"Backup failed for $folderName (robocopy $LASTEXITCODE).\" }\n }\n}\n$projectSource=[IO.Path]::GetFullPath($ProjectPath)\nif (-not (Test-Path -LiteralPath $projectSource -PathType Container)) { throw 'Project directory is unavailable.' }\n& robocopy $projectSource (Join-Path $runDir 'project') /E /XJ /R:1 /W:1 /COPY:DAT /DCOPY:DAT /NP\nif ($LASTEXITCODE -ge 8) { throw \"Project backup failed (robocopy $LASTEXITCODE).\" }\n\"PROFILE BACKUP PASS: $runDir\"\n# Copy-only: no /MIR, /PURGE or deletion. Backup may contain credentials; protect the drive.\n# Add the Grok Bot profile and project path explicitly after finding them in your own installation.\n", "filename": "profile-backup.ps1", "generated_from": "BUILD_SPEC.json.resources", "version": "2.0" }, { "resource_id": "R005", "name": "profile-backup.sh", "type": "sh", "purpose": "Working resource used by this Build; inspect before running.", "contents": "#!/usr/bin/env bash\n# VERSION HISTORY\n# 2026-10-05 EDT | chatgpt_codex | overnight-catalog | v1: copy-only explicit profile backup.\nset -euo pipefail\ndest=${1:?Pass a mounted external-drive backup directory}\nproject=${2:-$PWD}\nmkdir -p \"$dest\"\nif [ \"$(df -P \"$HOME\" | tail -1 | awk '{print $1}')\" = \"$(df -P \"$dest\" | tail -1 | awk '{print $1}')\" ]; then\n echo 'Choose a destination on another mounted filesystem.' >&2; exit 2\nfi\nrun=\"$dest/$(date -u +%Y%m%dT%H%M%SZ)-$$\"\nmkdir \"$run\"\nfor name in .codex .claude .grok .qwen .gemini; do\n if [ -d \"$HOME/$name\" ]; then cp -pR \"$HOME/$name\" \"$run/$name\"; fi\ndone\nif [ ! -d \"$project\" ]; then echo 'Project directory is unavailable.' >&2; exit 2; fi\ncp -pR \"$project\" \"$run/project\"\necho \"PROFILE BACKUP PASS: $run\"\n# This backup can contain credentials; protect access to the backup drive.\n", "filename": "profile-backup.sh", "generated_from": "BUILD_SPEC.json.resources", "version": "2.0" }, { "resource_id": "R006", "name": "comps.csv", "type": "csv", "purpose": "Working resource used by this Build; inspect before running.", "contents": "id,area,beds,baths,sqft,rent_month,currency,observed_at,url\na1,North,2,1,900,1800,USD,2026-10-05T10:00:00Z,https://example.com/a1\na2,North,2,1,1000,2000,USD,2026-10-05T10:00:00Z,https://example.com/a2\na3,North,2,1,1100,2200,USD,2026-10-05T10:00:00Z,https://example.com/a3\na3,North,2,1,1100,2200,USD,2026-10-05T10:00:00Z,https://example.com/a3\nb1,South,1,1,600,1200,USD,2026-10-05T10:00:00Z,https://example.com/b1\n", "filename": "comps.csv", "generated_from": "BUILD_SPEC.json.resources", "version": "2.0" }, { "resource_id": "R007", "name": "subject.json", "type": "json", "purpose": "Working resource used by this Build; inspect before running.", "contents": "{\n \"area\": \"North\",\n \"beds\": 2,\n \"baths\": 1,\n \"sqft\": 1000,\n \"currency\": \"USD\"\n}", "filename": "subject.json", "generated_from": "BUILD_SPEC.json.resources", "version": "2.0" }, { "resource_id": "R008", "name": "rental_comps.py", "type": "py", "purpose": "Working resource used by this Build; inspect before running.", "contents": "# VERSION HISTORY\n# 2026-10-05 EDT | chatgpt_codex | overnight-catalog | v1: learner resource.\n\"\"\"Summarize comparable asking rents from a permitted CSV; not an appraisal.\"\"\"\nimport argparse,csv,json,statistics,logging,math\nfrom pathlib import Path\nfrom datetime import datetime\ndef summarize(csv_path,subject):\n rows=[];seen=set();rejected=[]\n with open(csv_path,encoding='utf-8-sig',newline='') as f:\n for n,r in enumerate(csv.DictReader(f),2):\n try:\n size=float(r['sqft']);rent=float(r['rent_month']);dt=datetime.fromisoformat(r['observed_at'].replace('Z','+00:00'))\n if not math.isfinite(size) or not math.isfinite(rent) or size<=0 or rent<=0 or dt.tzinfo is None:raise ValueError('invalid size, rent or timezone')\n if not r['id'].strip() or not r['url'].startswith(('http://','https://')):raise ValueError('missing ID or source URL')\n if r['id'] in seen:continue\n seen.add(r['id'])\n if (r['area']==subject['area'] and int(r['beds'])==subject['beds'] and float(r['baths'])==subject['baths'] and r['currency']==subject['currency'] and .8*subject['sqft']<=size<=1.2*subject['sqft']):\n rows.append({**r,'rent_per_sqft':rent/size})\n except (KeyError,ValueError) as e:rejected.append({'row':n,'reason':str(e)})\n result={'sample_size':len(rows),'comps':rows,'rejected':rejected,'currency':subject['currency'],'limits':'asking rents only; check dates, fees, concessions, condition and geography; no tenant screening'}\n if rows:\n result['median_asking_rent']=statistics.median(float(r['rent_month']) for r in rows)\n result['median_rent_per_sqft']=statistics.median(r['rent_per_sqft'] for r in rows)\n result['size_normalized_reference']=round(result['median_rent_per_sqft']*subject['sqft'],2)\n return result\ndef main():\n p=argparse.ArgumentParser(description=__doc__);p.add_argument('csv');p.add_argument('--subject',default='subject.json');p.add_argument('--out',default='rental-report.json');a=p.parse_args()\n subject=json.loads(Path(a.subject).read_text(encoding='utf-8'));assert math.isfinite(float(subject['sqft'])) and subject['sqft']>0\n Path('logs').mkdir(exist_ok=True);logging.basicConfig(filename='logs/rental.log',encoding='utf-8',level=logging.INFO)\n result=summarize(a.csv,subject);Path(a.out).write_text(json.dumps(result,indent=2),encoding='utf-8');logging.info('comps=%d',result['sample_size']);print('COMPS PASS: '+str(result['sample_size'])+' comparable(s); median '+str(result.get('median_asking_rent','no data')))\nif __name__=='__main__':main()\n", "filename": "rental_comps.py", "generated_from": "BUILD_SPEC.json.resources", "version": "2.0" }, { "resource_id": "R009", "name": "lead-review.md", "type": "md", "purpose": "Working resource used by this Build; inspect before running.", "contents": "# Rental lead review\nSource URL and observed UTC:\nArea, beds, baths, size, currency:\nAsking rent, fees and concessions:\nPermitted collection method:\nNext action (draft only):\nDo not store protected characteristics or make automated housing eligibility decisions.\n", "filename": "lead-review.md", "generated_from": "BUILD_SPEC.json.resources", "version": "2.0" } ], "bot_coach": { "bot_name": "Buzz", "bot_role": "Offline reviewed step coach", "personality": "patient and concrete", "tone": "plain", "teaching_style": "hint, diagnostic, action, checkpoint", "introduction": "Ask about the current step. I use reviewed local answers and queue unknown questions for review.", "encouragement_style": "Focus on observed results.", "troubleshooting_style": "Ask for the smallest reproducible evidence.", "limits": "This offline coach does not call an LLM or inspect your computer. Unknown questions enter a local exportable review queue, not a shared SQL FAQ." }, "coach_interaction_model": { "stuck": "current diagnostic and first repair", "meaning": "current explanation", "error": "current troubleshooting", "why": "purpose", "skip": "require equivalent evidence", "alternative": "documented alternative", "finished": "record actual output", "start_over": "export then reset only this Build", "progressive_assistance": [ "hint", "diagnostic", "walkthrough", "resource solution" ] }, "website_specification": { "layout": "Lesson outline, actionable step, current-context coach", "features": [ "platform selectors", "command copy with selection fallback", "evidence checklist", "practical quiz", "downloadable resource ZIP", "local progress", "evidence export", "unknown-question review queue" ], "checkpoint_model": "Learner supplies observations/output; tokens check expected shape only, not host truth.", "navigation": "Browse freely; checked next-button progression retains evidence.", "video": "spec-driven walkthrough and optional speech; full rendered media is a downstream production task." }, "final_test": { "test_name": "Repeat the core workflow and restore its evidence", "instructions": "Repeat the last product-specific checkpoint from a fresh practice input, preserve actual output, then complete the Build Bot Better guard and restore checks. Export the evidence.", "required_inputs": [ "workspace_guard.py", "restore_drill.py", "onboarding-checklist.md", "comps.csv", "subject.json", "rental_comps.py", "lead-review.md" ], "success_conditions": [ "A source-linked rental-comparison report with deduplicated comparable properties, median asking rent, size normalization, sample size and documented limitations.", "Core output can be reproduced", "Guard limit explained", "Backup and restoration evidence retained" ], "automated_tests": "catalog_check.py records browser behavior and executable resources, with explicit scope.", "manual_tests": [ "Review actual account sign-in where needed", "Check source/data assumptions", "Restore one real non-secret memory file" ], "expected_output": "A source-linked rental-comparison report with deduplicated comparable properties, median asking rent, size normalization, sample size and documented limitations.", "failure_paths": "Use the specific step diagnostic, retain failure evidence and stop when access is required." }, "extensions": [ { "title": "Use your own input", "action": "Replace the sample with one permitted real input and rerun the same checks." }, { "title": "Add one failure case", "action": "Create a malformed or missing input; prove the workflow fails visibly and recovers." }, { "title": "Automate after review", "action": "Write a bounded schedule with logging and a stop condition; obtain approval for external actions separately." } ], "metadata": { "SEO_title": "Rental Leads / Rental Comps | BuildBotsBetter", "SEO_description": "A source-linked rental-comparison report with deduplicated comparable properties, median asking rent, size normalization, sample size and documented limitations.", "SEO_keywords": [ "rental-leads", "guided build", "verified outcome" ], "difficulty": "beginner", "related_builds": [ "dogfooding", "buildbotsbetter-onboarding" ], "next_recommended_build": "dogfooding" }, "automation_map": [ { "output": "website", "generated_from": "BUILD_SPEC.json", "human_review_required": true }, { "output": "walkthrough", "generated_from": "BUILD_SPEC.json", "human_review_required": true }, { "output": "bot dialogue", "generated_from": "BUILD_SPEC.json", "human_review_required": true }, { "output": "resources", "generated_from": "BUILD_SPEC.json", "human_review_required": true }, { "output": "quiz", "generated_from": "BUILD_SPEC.json", "human_review_required": true }, { "output": "captions", "generated_from": "BUILD_SPEC.json", "human_review_required": true }, { "output": "metadata", "generated_from": "BUILD_SPEC.json", "human_review_required": true } ], "quality_assurance_report": { "scope": "Original instructional content, reviewed against shared brief; execution and browser receipts are stored under logs/catalog-acceptance.", "known_limits": [ "macOS branches require verification on a real Mac.", "Account sign-in, eligibility and subscriptions must be verified by the learner.", "Browser evidence completion is self-reported; it is not machine access to a host." ] }, "sources": [ { "title": "Python statistics median", "url": "https://docs.python.org/3/library/statistics.html#statistics.median" } ], "known_uncertainties": [ "External tool interfaces and plan availability can change; check the linked official source and local --help." ] }