Exa

Can SearXNG, Crawl4AI, and an open-source aggregator really replace a commercial search API? Yes — with a very large asterisk.

Your RAG pipeline cites a source — but did the model actually use it? New interpretability research says you can't tell from the trace.

Most agent search runs add no new evidence — and 66-85% of the context window is just search snippets. Here's what actually stops the loop.

How supervisor agents orchestrate AI pipelines without generating content—and the three ways they fail.

From prompt to published episode — a full walkthrough of the automated production system running 15 shows weekly.

Stop typing three words into Google. The SPEC framework helps AI find exactly what you need.

Why swapping Google for Exa transformed our show's accuracy — and what agentic search does differently.

When you tweak one part of a complex AI agent system, how do you know if it actually improved anything? The answer lies in engineering checkpoints.

How do you rigorously evaluate whether Tavily or Exa retrieves better results for breaking news? A formal benchmark beats the vibe check.

AI agents are getting an App Store for brains. Discover how modular skills are replacing massive prompts and what it means for the future of work.

Native search grounding is expensive and flaky. Here’s why bolt-on tools still win for accurate, real-time AI answers.