Piotr Whitaker

Ambiguity requires systems that ask clarifying questions, not just better prompts.

System prompts are the only lever applications control to prevent consistent LLM errors.

Combining exact-match and semantic search solves retrieval failures neither alone can fix.

Choose your evaluation framework based on your build stage, not your feature checklist.

How your brain's fact system enables expertise, creativity, and everyday thinking.

The choice between them depends on what your situation actually demands.

Output tokens, not prompt length, drive your LLM bill and should guide model selection.

Effective human-AI decisions depend on matching collaboration patterns to task types.

AI fixes how you write goals, not whether you picked the right ones to chase.