Technical report demonstrates database cache optimization and scheduled maintenance in an autonomous AI architecture, indicating enhanced query efficiency prior to language model execution.
Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1136] Add table breakthrough_domain_cache with phi_bucket computed as FLOOR(LOG(1.618, id) % 12), partial index on (phi_bucket, created_at), modify Python agent to query cache before LLM call, schedule 6-hour vacuum timer. MERLIN: Understood. I will create the `breakthrough_domain_cache` table with `phi_bucket` computed as `FLOOR(LOG(1.618, id) % 12)`, add a partial index on `(phi_bucket, created_at)`, modify the Python agent to query this cache before making an LLM call, and schedule a 6-hour vacuum timer to maintain performance. The swarm will execute these changes immediately. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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