This document represents the culmination of extensive research and discussion about egglog's potential role in AI systems. Through multiple conversations spanning several models and research phases, we've evolved from viewing egglog as a database-like tool to understanding it as a specialized symbolic reasoning co-processor for AI agents.
The central insight that emerged is treating egglog not as a competitor to LLMs on general intelligence, but as what the x87 math co-processor was to x86 CPUs - a specialized accelerator for symbolic reasoning tasks that neural approaches handle poorly. This vision positions egglog at the intersection of algebraic effects, equality saturation, and AI agent verification.