Local-LLM

Most AI assistants are generalists. Ask them about Butler-Volmer kinetics, the difference between SEI growth mechanisms in NMC versus LFP, or how to interpret a GITT pulse sequence - and they will give you something plausible, occasionally correct, and impossible to trust without cross-checking. That is a fundamental problem for engineering work. A tool you cannot trust at the domain boundary is a liability, not an asset. The Battery Expert AI was built to close that gap - a domain-specific assistant that understands battery electrochemistry deeply enough to be genuinely useful, and runs entirely on-premise so that proprietary cell data and OEM specifications never leave the building. ...

Most AI coding tools are generation engines. You describe what you want, they produce code. This works for isolated functions, boilerplate, and anything where the context fits in a prompt. It breaks down when the problem is understanding an existing system - navigating a codebase you didn’t write, debugging a failure with no obvious error message, figuring out why something that worked in isolation fails in the larger system. These are comprehension problems, not generation problems. And comprehension requires structure, not just pattern matching. ...