Web

The Web source sends your prompt out to a real-time web search (Exa primary, Parallel fallback), reads the top results, and lets the model answer with those pages as context. Toggle from the @ menu, or stack with other sources for layered grounding.

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When to use it

• Anything fresh — news, releases, product pages.
• Facts you don’t want hallucinated — prices, version numbers, contact details.
• Comparisons where one or both items are recent.

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How it works

1. You toggle Web in @.
2. You send a prompt.
3. Foundry runs a web search behind the scenes.
4. The top results are read into context.
5. The model answers, with each claim linked to the page that backs it.

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Good for

• “What did OpenAI announce yesterday?”
• “Compare the latest macbook pro and m4 air specs”
• “Who’s the current CEO of Mistral?”

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Limits

• The search is broad — for deep, multi-step research, use Deep Research instead.
• Results are only as fresh as the search index — usually minutes to hours.
• Foundry pulls excerpts, not full pages. If a page needs deeper reading, follow the citation.

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