LLM Foundry: the boring stack that makes an LLM actually useful

LLM Foundry: the boring stack that makes an LLM actually useful Most AI projects are built backwards. People start with the model and only later discover they needed a memory system, semantic retrieval, tool use, tests, and a fallback plan for when one provider decides to nap for no visible reason. That is the part I care about now. LLM Foundry is the workshop around an LLM — not the model itself. It is the layer that makes a model useful for actual work instead of just looking smart in a demo.