hunch builds a real-time learning local semantic decision system on Google's EmbeddingGemma 2
The real shift is architectural: routing routine agent decisions to a continuously learning local embedding model cuts both latency and token spend without retraining loops. Developers building agent monitoring, log analysis or task routers can replicate this with EmbeddingGemma 2 on commodity CPUs. Against cloud-only routing stacks, the sub-100ms local inference makes real-time agent loop control practical.
