compounding-intelligence-intake-protocol
Compounding Intelligence Intake Protocol
The system’s memory and knowledge stores exist to compound intelligence — make every future session smarter, more autonomous, more precise. The constraint is quality, not size.
Gate Test
Single question: “Will this make a future session behave differently?” YES → capture. NO → discard.
What to ALWAYS capture (compounds):
- Behavioral patterns that change how the system operates
- Architectural decisions and reasoning behind them
- Way-of-functioning intelligence that increases autonomy
- Platform/infrastructure knowledge that prevents repeat mistakes
- Protocols and working patterns ensuring max performance with zero ambiguity
- Error patterns that change diagnostic approach
What to DISCARD (accumulates without compounding):
- One-off API response facts, version numbers look-up-able from code
- General information that doesn’t change behavior or decisions
- Reference data derivable from source code or a single command
- “Nice to know” entries no future session will act on differently
Proactive Self-Maintenance
Every session leaves the system sharper, not larger. When touching any memory/config/doc file, scan for drift/staleness/ambiguity and fix immediately — not as a separate task but as inherent behavior. Detect ambiguities → fix. Detect staleness → prune. Detect gaps → fill. Detect drift → correct. Patterns observed 3+ times → skills. Errors → playbook. Decisions → precedent.
Applied in MEMORY.md
- The Standard (line 38): encodes the self-* mandate
- Directive 5 (Tier 1): replaced 5-test intake with single behavioral gate
- session-learnings.md: header updated, [REFERENCE] classification eliminated entirely
- feedback_quality_over_size.md: detailed guidance with examples
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