The book · $9.99
Laws of AI Agents — Complete Edition
Read 20 laws free, then unlock all 50 with the deep dives and the audit kit. One-time purchase, lifetime access.
All 50 laws in full — the mechanism, the warning signs, a worked example, and an apply-it recipe for each — plus the AI Agent Audit Kit to run them against your own agents.
Secure checkout
Pay once with PayPal. After capture, this browser unlocks the protected digital edition and the email you enter in PayPal becomes the access email.
What it is
All 50 laws in full — plus the audit kit to apply them.
You've read 20 laws free. Unlocking opens the other 30, each with the mechanism underneath it, the warning signs, a worked example, and an apply-it recipe. You also get the AI Agent Audit Kit to run the 50 laws against your own agents, and lifetime access to the protected edition.
Free — 20 laws
- The principle
- The takeaway
Complete Edition — all 50
- Everything in free, for all 50 laws
- Why it happens (the mechanism)
- Warning signs to watch for
- A worked, real-world example
- A step-by-step apply-it recipe
- The AI Agent Audit Kit + lifetime access
Why I made this
Agents are becoming how work gets done. Weak agents will quietly cost people money, trust, and time.
I made this because I kept seeing the same pattern while building and reviewing agent systems: the model was rarely the only problem. The real failures came from stale context, vague tools, weak retrieval, missing evals, unsafe permissions, and handoffs nobody had designed.
Agents matter because they are becoming an interface to real work. They read, decide, call tools, write to systems, and influence customers. A demo can look impressive while the system underneath is still fragile.
This bundle turns the online 50 Laws of AI Agents edition into a working audit process. It is not a magic scanner. It reviews evidence from where the agent actually lives: code, workflow exports, prompts, tools, traces, evals, screenshots, or transcripts.
Included
- All 50 laws in full — the 20 free plus the 30 locked deep-dives
- For every law: the mechanism, the warning signs, a worked example, and an apply-it recipe
- Lifetime access to the protected digital edition (read straight through)
- Bonus — the AI Agent Audit Kit: installable skill for Codex & Claude
- Full 50-law audit rubric, intake checklist, and evidence checklist
- Audit report template, copy-paste prompt, and a sample audit of a broken agent
Works with
- Code repos in Codex or Claude Code
- n8n, Zapier, Make, Retool, Voiceflow, and Botpress exports
- OpenAI Agents SDK, Assistants, LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, and custom API stacks
- Black-box transcript or screenshot reviews when internals are unavailable
- Client-ready consulting or launch-readiness reports
The included bonus · AI Agent Audit Kit
Beyond reading the laws, the kit turns them into a repeatable audit you run on your own agents — in Codex, Claude, or as a copy-paste prompt.
Checks for
- Context, stale data, and long-context failure modes
- Tool design, scope creep, and deterministic boundary issues
- Retrieval, memory, and citation risks
- Eval blind spots, aggregate metrics, and regression gaps
- Prompt injection, exfiltration, and unsafe autonomy
Not a black box promise
With code, workflow exports, traces, and evals, the audit can be specific and high-confidence. With screenshots or transcripts only, it still helps, but it marks findings as observed risks or hypotheses instead of pretending to know the internals.
What you get back
- A clearer map of where your agent is strong, fragile, or over-scoped
- A prioritized issue list tied to specific laws and concrete evidence
- Fixes for prompts, tools, retrieval, evals, permissions, and human review
- Verification steps so you can prove the fix worked instead of trusting vibes
Use it in 20 minutes
- Choose the audit mode: repo, workflow, SDK/API, black-box, or client report.
- Paste or point to the agent goal, system prompt, tool list, workflow export, retrieval setup, evals, and one or two traces.
- Run the included skill where you work, or use the copy-paste prompt if your tool does not support skills.
- Review the ranked findings and choose the top 3 fixes that reduce the most risk.
- Use the report template to turn the audit into an implementation plan or client deliverable.
Best first use
Paste your agent's architecture, system prompt, tool list, retrieval design, eval setup, and one or two failed traces. Ask the skill to run the audit. It will map concrete issues to specific laws and return fixes you can implement.
Who this is for
AI engineers, founders, agencies, and indie builders who are already shipping or prototyping agent workflows and want a practical way to find reliability and safety problems before production traffic does.
What this is not
It is not a generic prompt pack, ebook, or PDF download. It is a structured audit workflow backed by the 50 Laws of AI Agents, plus the skill files and templates needed to turn the output into an actionable report.