Author: Oscar Serra

Relevance must be re-computed from the live situation — not read off a frozen list. SALIENCE argues for three pillars: kill fixed thresholds, order knowledge as…

Your agent has the answer in its memory and still can’t find it; Instant Recall builds an offline concept index so retrieval is a constant-time lookup…

A stateless AI agent that gets 79% fewer incidents over 30 days — not by fine-tuning, but by a nightly loop that rewrites its own operating…

Your agent keeps every fact and still stops sounding like itself — Identity Persistence pins the persona every turn, compacts the task without flattening the voice,…

Your agent’s memory is flat — one zoom level — so it fetches a fact or a gist, never both; Fractal Reasoning indexes memory and structures…

Stop asking which model is best and picking one — Round Table puts Claude, GPT, and Gemini at the same table, casts each to the role…

LLMs answer brilliantly but never wonder — they can’t spot their own knowledge gaps or learn after training. The Wondering Machine is a blueprint for an…

Memory retrieves what’s nearest to a query; humor searches for what’s at the right distance and can still be joined by an unexpectedly valid bridge —…

Role-bound agents — one shared AI agent per job function that outlives the people who use it — so a company’s institutional knowledge never walks out…

Your agent had all the context and still did the wrong thing — and blocking it isn’t enough, because a blocked agent retries another way. AMYGDALA…