# When should I use it?

**Audience:** End users

## When should I use it?

Use GL Open DeepResearch when you need **in-depth, multi-source answers** to a question, not a single quick fact or a chat reply.

### Good use cases

* **Research and synthesis** — “What are the main arguments for and against X?” or “Summarize recent developments in Y.”
* **Comparison and evaluation** — “Compare options A, B, and C for Z.”
* **Exploration with sources** — “What do recent reports say about topic T?” when you want citations or references.
* **Structured reports** — When you need a coherent report (sections, evidence) rather than a one-line answer.

### Questions that are a poor fit

* **Simple facts** — “What is the capital of France?” — use a search or chat API instead.
* **Real-time or live data** — “What is the stock price right now?” — research is based on search/retrieval, not live feeds.
* **Highly subjective or opinion-only** — “What’s the best movie?” — the service is built for evidence-based synthesis.
* **Very narrow, single-source questions** — Where a single lookup is enough, deep research may be unnecessary.

Choosing the right **profile** (e.g. quick vs deep) also matters: use quick profiles for faster, lighter answers and deep profiles when you need more thorough research.

For **examples** of questions and results with step-by-step instructions, see [Examples](https://gdplabs.gitbook.io/gl-open-deepresearch/users-guide/quick-start-guide). For **how it works**, see [How it works](https://gdplabs.gitbook.io/gl-open-deepresearch/users-guide/how-it-works).