AI shines after the fetch path is honest

There is a lot of energy right now around agents, tools, and long context windows. That stack is genuinely useful for summarization, extraction, and multi-step research, once you trust what you are feeding the model.

If your pipeline silently drops pages, returns garbage HTML, or confuses bot challenges with real content, the model will confidently polish nonsense. The failure mode looks like “bad AI” when the root cause is upstream.

I bias toward hardening fetch, unblock, and delivery first, then layering models where they reduce toil: classification, cleanup, structured output. The ordering matters more than which model badge is on the box.