Developer Scraps Six-Month AI Project to Build Modular 'Circuit' Architecture

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After six months of failed attempts to make version 2 of an AI system work, a developer pivoted to a new modular architecture called v3 following an unexpected breakthrough with small, specialized circuits. The key insight was that narrow, purpose-built circuits outperformed a general-purpose monolithic model at specific tasks, using far fewer parameters and training in seconds. Version 3 replaced the single-pipeline design with a fleet of specialized circuits — including PropertyCircuit, RelationalCircuit, CausalCircuit, and ChainReasoner — each independently trainable and deployable. A set of ten guiding rules, documented in a file called TRUTH.md, was established to govern future architectural decisions, drawn from lessons learned across prior development failures. The central brain layer was retained but demoted from the system's core to one expert among many, consulted only when its capabilities matched the task.

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