Your agent has a 200,000 token context window, you wrote a clear instruction, and the answer is still wrong. The model is rarely the problem. What you put in front of it usually is, and fixing that is what context engineering for web content actually means. The practice is simple to state. Decide what an … Read more
Markdown is the best format to feed an AI: it is the leanest in tokens, and its structure survives the trip into the model untouched. DOCX comes second, and only when you upload it directly so the tool can walk the document model. PDF is the format most likely to garble tables, headings, and reading … Read more
You paste a long document into ChatGPT or Claude. The model responds with a summary that ignores the second half. Or worse, you hit a context limit and the conversation stalls entirely. The instinct is to blame the model’s context window. The actual problem is usually simpler: the input is full of tokens that add … Read more
Most RAG tutorials skip straight from “get the data” to “embed it.” The result is a pipeline that technically works but retrieves irrelevant chunks, because the input was never cleaned in the first place. Raw HTML is the usual culprit. Navigation menus, cookie banners, inline styles, and script blocks all get embedded alongside the actual … Read more