Normalized Telegram record

Company memory should update when a correction happens

PromptQL treats a human correction as a candidate shared rule instead of a fix that dies with the current session.

Signal contract

PromptQL treats a human correction as a candidate shared rule instead of a fix that dies with the current session. Capturing knowledge at correction time closes the loop between agent mistakes and durable organizational behavior without waiting for a separate documentation project. Novelty: structural. Verification: source-linked. This New Runtime record is an evidence-linked retrieval unit.

Source ledger

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Observation

PromptQL treats a human correction as a candidate shared rule instead of a fix that dies with the current session.

Why it matters

Capturing knowledge at correction time closes the loop between agent mistakes and durable organizational behavior without waiting for a separate documentation project.

Entities

PromptQL

Provenance

This public record is an English normalization of QWG AI Telegram message 2703. The complete original-language post remains the canonical raw message.

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  1. 01related materialRetrieval and long context do not create company memoryShares company memory.
  2. 02related materialAgent memory is being evaluated as system behaviorShares knowledge systems.
  3. 03related materialAI product OKRs should measure result adoptionShares human feedback.
  4. 04related materialCline: DeepSeek silently updated their changelog with a new V4-Flash upgrade 1 hour ago.Continue with a related New Runtime material.
  5. 05related materialCloudflare: Adversaries aren't breaking in—they’re logging in.Continue with a related New Runtime material.

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