Today
Pick the strongest place now.
Destination decisions rank Bangkok, Chiang Mai, Phuket, and the rest against live comfort and confidence signals.
Graph Engine v1
This is where the graph turns signal rows into traveler-facing answers about where to go, where to stay, which route is fragile, and what to check before paying.
Decisions are the interface layer over entities, observations, and signals. They explain the recommendation, the weak spot, the next move, the pivot, and the score components instead of hiding the answer inside a black box.
Today
Destination decisions rank Bangkok, Chiang Mai, Phuket, and the rest against live comfort and confidence signals.
Stay and move
Hotel-area, route-check, and ferry-check decisions sit between raw data and payment decisions.
Why trust it
Every decision carries source confidence, a weak signal, and the checks you should still run before paying.
These are the traveler-facing decision families the graph can compute today.
Active decision family
Ranks destination entities using live AQI and comfort signals plus source confidence, regional context, and airport-scale, airport-access, airport board-surface, or airport environmental-support context where it materially changes the trip shape.
Output: Best and weakest destination picks today.
Active decision family
Ranks hotel-area entities using comfort, source confidence, parent-destination resilience, airport-ground-access support, official airport pickup-rule context, airport board-surface support, airport-scale context, airport environmental-support context, rail-support context, and official rail presence where they materially affect the stay.
Output: Best current hotel bases and who they fit.
Active decision family
Checks high-value route templates using destination scores, transfer nodes, airport-weather context, airport-ground-access support, official airport pickup-rule context, official passenger board-surface support, airport-scale context, airport environmental-support context, rail-support context, official rail presence where the route can plausibly use it, and live pier or transfer support where coastal legs matter.
Output: Route feasibility, main breaker, and pivot.
Active decision family
Checks pier and island-chain plans with live sea-state caution, public transfer support, ferry fragility, and honest refund logic.
Output: Ferry fragility, refund logic, and backup move.
Active decision family
Turns destination and venue-density entity records into traveler-facing food-route picks.
Output: Best food-first destination and route fit.
Active decision family
Explains the national Thai Gold Traders Association 96.5% reference quote in THB per 1 baht-weight, then pairs it with city buying-context friction so Bangkok, Chiang Mai, Phuket, Pattaya, and Hat Yai are not mistaken for separate official local price feeds.
Output: National quote, city buying context, and next gold-shopping checks.
The browser hydrates this from /api/decisions. It shows the top current outputs from each family, plus the strongest next actions and pivots.
Browser refresh compares the latest persisted decision snapshots here.
Generated by the live decision API. The browser hydrates current decision outputs here.
Each decision row now exposes component scores, penalties, and fallback markers so the engine can be audited instead of only trusted.
The static registry already knows about 6 decision families. Browser refresh fills this panel from the API with live ranked answers.