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When does an idea from a conversation become a permanent rule?

How is it built?Markdown
Tags
  • AGENTSThe surface for working with AI agents.
  • CODEXAbout Codex sessions.
  • WORKFLOWRepeatable working flow.
  • EVIDENCE-UIUnderstood through visual evidence.
Raw explanation
  → correct reality errors
  → match against existing rules
  → find the measured gap
  → extend the correct existing rule
  → add ground + falsifier

1 — Raw idea

“If two requests arrive, it must be more important.”

2 — Reality correction

- Two requests mean greater importance.

+ Request count is not priority.
+ It may be a duplicate or retry of the same request.
+ Priority comes from a typed demand class.

3 — Match against existing rules

Progressive hydration          → already exists
Single authority               → already exists
Singleflight                   → already exists
Do not produce unused data     → already exists
Demand ordering                → measured gap

4 — Do not create a new rule

- Write a new independent rule

+ Extend the existing lifecycle owner

5 — Permanent delta

Demand
├── dataKey
├── consumerIdentity
├── urgency
├── completeness
└── freshness

6 — Evidence carried by the rule

Ground
└── measurement(title-hydration-demand-order)

Falsifier
├── human focus does not reduce latency
├── more than one in-flight job runs for the same DataKey
├── a priority change restarts work that already began
└── retained demand disappears before completion or release

Result

Idea from the conversation
        │
        ▼
Compare it with existing rules
        │
        ├── already solved → use the existing rule
        │
        └── measured gap
                │
                ▼
        extend the correct owner
                │
                ▼
        add ground + falsifier

Previous experimental guide: How does an AI agent find the right rule without reading all of them?