katgpt-rs

Research workflow for distilling ML/AI papers into modelless inference primitives, freeze/thaw runtime patterns, and latent-space operations across the katgpt-rs / riir-ai / riir-chain / riir-neuron-db / riir-train repo quintet. Use when reading arxiv papers, deciding which repo a paper belongs in, creating .research/ notes or .plans/ files, implementing modelless inference primitives, or routing training-vs-inference insights. Enforces the 5-repo commercial strategy (public engine / private runtime / private chain / private neuron-db / private training), modelless-first constraint, latent-to-latent preference, and freeze/thaw-over-fine-tuning rule.

Audit cross-repo GOAT/gain primitive cherry-pick status across the 5-repo quintet (katgpt-rs → riir-ai / riir-chain / riir-neuron-db). Detects stalls (default-on in katgpt-rs for ≥7 days with zero runtime wiring in riir-*), DRY violations (duplicated substrate in riir-* that should consume katgpt-core), and SOLID violations. Use when auditing primitive cherry-pick coverage, before opening a plan that consumes a katgpt-rs primitive, or quarterly as a hygiene gate.