Live web data guides: freshness, country, cost, format
One guide per decision, with starting defaults you can copy, tables you can adapt and sources you can check. Shorter posts go deeper on single questions.
Live web data basics
Why LLM apps need live web data, and when they do not
Knowledge cutoffs, what real-time honestly means, contents vs search APIs, public pages only, and build vs buy.
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Freshness and caching
Live vs cached web data: where the cache belongs in LLM apps
How vendor max age works, when a cache on your side pays off, timeouts, and how to tell the model how old a page is.
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Pages by country
Country-specific web content for LLMs: same URL, other page
Why one URL reads differently from Germany, Japan or the US, and how to pick, record and pass the country to the model.
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Budgeting web data
Web data budget for AI apps: fetch cost plus token cost
A worksheet that counts both bills: the fetch and the input tokens. Plus truncation, failures, batching and rate limits.
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Clean page content
Markdown vs HTML for LLMs: which page format to pass
What Markdown, text and HTML each keep, when the full page matters, how tables survive and which metadata to pass along.
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