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Marketing & Small Business2 min read

Author releases 40 AI delegation rules and inspection tools after accident

An author published a procedure manual and tools to help companies safely delegate tasks to AI after an accident caused by an AI’s ‘no problem’ assessment. The manual includes a template of 40 business-oriented rules categorized into seven groups, along with explanations of real-world accidents that informed each rule. It also provides tools to verify compliance, such as a confidential…

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What you can do with it

AI at Work →
CLAUDE.md rule template and inspection tools by note inc.

Track billing task deadlines

What you get You can block sensitive data leaks.

Enforces 40 rules (e.g., deadline tracking, confidential data checks) via Python scripts.

Who for
marketers
Cost
paid from $X
Effort
an afternoon

Use it for

  • Audit customer support replies
  • Track billing task deadlines
  • Block sensitive data leaks

Watch out Requires Python 3.9+

CLAUDE.md rule template and inspection tools in the tool directory

Key points from the news

  • 40 rules in 7 categories help prevent AI-related accidents like ‘no problem’ misassessments
  • Tools include confidential data checks and deadline verification scripts for Python 3.9+
  • Manual excludes PDF/image inspection and AI process design, targeting delegated tasks only

The manual is aimed at organizations already using AI for tasks like order processing, billing, or customer support. It does not cover basic AI usage or design of business processes. Users can customize the rules for their company and inspect whether similar accidents have occurred internally. The files (12 files, ~22KB) are available for purchase, with a paid section in the article linking to a download. The seller’s details are disclosed upon request under the Act on Specified Commercial Transactions.

Full story from note.com · by シクミ番頭|小さな会社のAI業務自動化 · via Search: ClaudeOpen source ↗

Safety Rules Before Delegating Tasks to AI: Procedure Manual for CLAUDE.md and Inspection Tools Created from Actual Accidents

note.com · 14 October 2026

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This text was published by note.com and written by シクミ番頭|小さな会社のAI業務自動化. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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