NehmeAILabs

The art of keeping your AI stack small and shaped on purpose. Use when building AI features, selecting models, designing extraction/RAG/agent pipelines, or about to reach for a frontier LLM (GPT-5, Claude Opus, Gemini Pro). Enforces a smallest-tool-first ladder (regex, spaCy NER, small LLM, frontier) and challenges JSON-everywhere, RAG-everywhere, browser-automation-everywhere defaults. Use whenever the user mentions token cost, latency, model sizing, structured output, RAG, or agent architecture.