What is GL Open DeepResearch?

Audience: End users

What is GL Open DeepResearch?

GL Open DeepResearch is a centralized deep research service. You ask a question, choose how deep or fast you want the research (via a profile), and get a sourced, structured answer. The service runs proven research engines for you so you don’t have to host or tune them.

What it does

• Accepts a question — You send a natural-language query (e.g. “What are the latest developments in quantum computing?”).

• Runs multi-step research — The service uses a research engine to decompose the question, gather information from multiple sources, and synthesize an evidence-based answer.

• Returns a structured result — You get a final answer plus (depending on the profile and API) thinking steps, tool usage, and sources.

• Supports different “modes” — Profiles control speed vs depth (e.g. quick vs comprehensive) and which research engine is used.

What it doesn’t do

• It is not a chat interface — You send a query and get a result (or stream); there is no multi-turn conversation in the API.

• It does not replace real-time or live data — Research is based on the engine’s tools (e.g. search, retrieval); freshness depends on those tools.

• It does not guarantee a single “correct” answer — Outputs are synthesized from available sources and can vary by run and profile.

For how it works in detail, see How it works. For examples of questions and results with step-by-step instructions, see Examples. For when to use it and what to expect (time, depth, limits), see When should I use it? and Limitations & expectations.