SmartGateSmartGate

Career and travel

Smart Research for time-bound plans — visas, fares, and role moves with Deep Research topology.

Official recipe: Deep Research

Travel and career planning look like open research but fail differently: visa rules, fare policies, and salary bands go stale fast. The same Deep Research topology applies — search, fetch, dedup, compress — with narratives aimed at dates, constraints, and trade-offs instead of open-ended essays.

See it in action
Smart Research example: comparing tourism routes with sources and a structured brief
Example run — a constrained travel question through search, fetch, and compression (Playground recording).

What feels broken

  • Travel threads re-fetch the same policy pages every message.
  • Career research mixes forums with outdated compensation posts.
  • Generic research prompts ignore deadlines and constraints.

How SmartGate shapes it

  1. State constraints first: dates, budget, role level, or must-have destinations.
  2. Let the gateway gather authoritative pages once and strip chrome.
  3. Compress to a brief your host model can compare against your constraints.
  4. Sign in for a full Playground run when the question spans many sources.

What you get

  • Fewer repeated fetches of airline, embassy, or job-board pages.
  • A readable brief for “option A vs B” without HTML noise.
  • Proof that one recipe serves multiple personal scenes — not one-off hacks.

Gateway path after sign-in (for integrators): smart_search → smart_fetch → smart_dedup → smart_context_gate

All personal scenes