Web Search & Browsing

Web search

Jeanette has access to real-time web search via the Brave Search API. She uses this automatically when you ask about current events, recent information, or anything that might have changed since her training data.

You: What's the current status of the UK autumn budget?

Jeanette: Searching now... Based on today's news, the UK autumn budget included...

You: Find me the cheapest flights from London to Tokyo in March.

Jeanette: Let me search for that... Here's what I found across flight comparison sites...

News search

Jeanette can search specifically for news articles, useful for monitoring topics or getting current event coverage.

You: Any major AI news in the last 24 hours?

Jeanette: Here are the top AI stories from the past day: ...

Web page reading

Jeanette can read the full contents of any URL you share or that she finds during a search. She uses a headless browser to handle JavaScript-rendered pages.

You: Read this page and summarise the key points: https://example.com/article

Jeanette: I've read the page. The main points are: ...

You: Go through the documentation at https://api.example.com/docs and tell me what endpoints are available.

Jeanette: Reading the docs now... I found the following endpoints: ...

This is particularly powerful for API connector building — Jeanette can read an API's documentation page and construct integrations herself. See API Connectors.

When Jeanette searches automatically

Jeanette decides when to search based on the nature of your request. She'll search automatically when:

• You ask about current events or recent news
• You ask a factual question that might have changed recently (prices, stock levels, sports scores)
• You ask her to "find", "search for", or "look up" something
• She needs current information to complete a task

You can also ask her explicitly not to search if you want an answer from her existing knowledge.

Credits

Each web search query uses 1–2 credits. Reading a web page also uses credits. Complex research tasks that involve many searches will accumulate credits accordingly.

For large-scale research needs, consider using Deep Research, which is optimised for multi-source synthesis.