Why your local LLM feels dumber than it is
THE SO WHAT
If local LLMs feel underwhelming, it’s often an integration and tooling problem—context windows, prompting, and memory—not just model weights. Teams betting on on-device or self-hosted models should invest in evals, UX, and orchestration before writing off local as ‘not good enough.’
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