Research and decisions
Smart Research — open-ended questions deserve dense facts, not four redundant searches and a wall of HTML.
Official recipe: Deep Research
Whether you are comparing vendors, reading policy, or stress-testing an idea, the same pattern repeats: search wide, fetch messy pages, paste overlapping snippets into chat. SmartGate runs the Deep Research recipe behind sign-in — search, clean fetch, dedup, then compress — so your host model reasons on a single high-signal brief.
See it in action
What feels broken
- Each new chat re-runs the same searches and re-downloads the same articles.
- Duplicate paragraphs inflate tokens before you reach a decision.
- Marketing pages on this site never embed live search — proof is one URL cleaned, then Playground for a full run.
How SmartGate shapes it
- Clarify the question in your own words (no config file on this page).
- On the homepage proof, paste one public URL to see fetch → compress on the same payload.
- Sign in and run the preset research path in Playground — gateway caps apply server-side.
- Use the compressed brief in your host LLM thread instead of raw page dumps.
What you get
- One orchestrated pass instead of manual copy-paste across tabs.
- Deduped facts and a token budget you can feel before the model answers.
- Same recipe topology agent builders embed via MCP — you get the outcome, not the wiring.
Gateway path after sign-in (for integrators): smart_search → smart_fetch → smart_dedup → smart_context_gate
Deep read
For MCP setup, tool routing, and governance details on this use case, read the full persona guide.
SmartGate MCP for research and decisions →