Build reliable AI systems
17 min read
How to Stop AI Agents From Repeating the Same Mistake
A plain guide to turning one recurring AI failure into a tested, reviewable rule without claiming the model learned.
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#Memory
Persistent memory, ledgers, handoffs, and retrieval hygiene for AI work.
This tag is a topic filter. It brings together guides from different parts of the Guide library.
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14 min read
What Should AI Need Before It Can Change the Real World?
An autonomy matrix, exact-action contract, and reversible mutation test for AI agents that send, publish, purchase, deploy, delete, or change another system.
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12 min read
How to Make AI Work Pick Up Where It Left Off
A practical guide to recoverable AI work, with a portable resume packet, a hard-kill experiment, and evidence from a frozen WarpOS audit.
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18 min read
What an AI Building System Needs: 12 Practical Parts
A plain-language guide to the 12 parts that keep AI-assisted work accurate, reviewable, and recoverable, backed by a frozen WarpOS audit.
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14 min read
What Should Your AI Workflow Record?
A practical guide to the five records an AI workflow should keep, the smallest useful event contract, privacy rules, and a frozen WarpOS writer-reader test.
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9 min read
Stop Paying AI To Re-Read The Same Context
Every stale instruction, repeated file, and oversized chat history has a cost. Context management saves tokens by giving the model the right state, not the whole project.
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8 min read
AI Coding Feels Magical Until The Project Gets Serious
AI coding breaks when the work needs memory, handoffs, evidence, review, and recovery. That is an operating-system problem.
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7 min read
Your CLAUDE.md Is Not An Operating System
CLAUDE.md can give context, but serious agentic work needs hooks, validators, ledgers, and review gates that do not depend on model memory.
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