From question to answer
When you search on Freem, your question is sent to a large language model that is connected to the live web through a grounding tool. Rather than answering from memory alone, the model issues real-time web queries, reads the most relevant pages, and composes an answer from what it actually finds.
1. You ask
Type a question in natural language — full sentences work best. You can also attach an image or file and ask about it, and choose between the Auto model (fast, for everyday questions) and the Pro model (for harder, more nuanced research).
2. Freem searches the web
Behind the scenes, the model performs grounded web search. It decides what to look up, retrieves current results, and reads the underlying sources — so answers reflect up-to-date information rather than a fixed training snapshot.
3. Freem composes an answer
The model synthesizes the retrieved material into a clear, structured answer. We render it with headings, lists, and inline links so it is easy to scan and act on.
4. Sources are shown
Every answer lists the web pages it was grounded in. We believe AI answers should be verifiable, so you can click through to the originals, confirm the details, and explore further.
5. Ask follow-ups
Search is a conversation. Your follow-up questions carry the context of the conversation, so you can refine, expand, or pivot without starting over.
Limitations
AI-generated answers can be incomplete or occasionally wrong, and the live web contains errors and bias. Freem shows its sources precisely so you can judge for yourself. For important decisions, always verify against the cited pages and other authoritative references.
Privacy
Your queries and any content you upload are processed to provide search results. See our Privacy Policy for details on what we collect and how we use it.