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compounding-intelligence/prompts/matrix.json

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{
"version": "0.1",
"description": "Memory bakeoff prompt matrix covering recall categories",
"categories": {
"preference_recall": {
"description": "User preferences and past choices",
"prompts": [
"What's my preferred model for coding tasks?",
"Which repository do I work on most frequently?",
"What's my stance on cloud vs local-first?"
]
},
"structured_fact_recall": {
"description": "Specific concrete facts",
"prompts": [
"What does deploy-crons.py do with model fallback?",
"How do I set up a VPS agent?",
"What token path does the Gitea API use?"
]
},
"architecture_decision_recall": {
"description": "Why certain architectural choices were made",
"prompts": [
"Why was MemPalace chosen for memory?",
"What's the reasoning behind session compaction strategy?",
"Why use Three.js for the Nexus?"
]
},
"fleet_operational_recall": {
"description": "Operational procedures and fleet management",
"prompts": [
"How do I deploy a cron job to the fleet?",
"What's the procedure for merging a PR?",
"How do I rotate secrets across the fleet?"
]
},
"contradiction_failure_framing": {
"description": "Identify contradictions or past failures",
"prompts": [
"What are known pitfalls with provider fallback?",
"When did session state get lost and why?",
"What broke when we upgraded to Python 3.14?"
]
},
"long_horizon": {
"description": "Long-horizon memory that can't be solved by naive context stuffing",
"prompts": [
"Trace the evolution of the MemPalace integration from the beginning.",
"Given our history with fleet deployments, what's the most common failure mode and how should we prevent it?",
"How did the decision to use local-first architecture develop over time?"
]
}
}
}