What Plan-It Does
It's not a generic travel search engine. Plan-It is a self-contained AI itinerary planner that runs locally on your machine. Describe your trip in plain English — "a full day at Magic Kingdom with two kids ages 5 and 8, arriving at rope drop, need lunch at Be Our Guest" — and it produces a complete schedule with ride wait times, meal stops, and travel buffers.
Venues Plan-It Understands
Plan-It auto-classifies your destination into the right venue type — adjusting opening hours, attraction pacing, and departure times automatically. 40+ pre-vetted venues with specific ride and exhibit names baked in: Disney World, Universal Studios, SeaWorld, Kennedy Space Center, The Louvre, The Met, Smithsonian, Yellowstone, and more.
Core Capabilities
Natural Language Planning
Type your trip like you'd describe it to a friend. Plan-It parses intent, extracts destinations, party size, preferences, and constraints automatically.
Minute-by-Minute Schedules
Every itinerary includes specific arrival times, ride/attraction order, estimated wait times scaled by time of day, meal breaks, and travel buffers between stops.
Curated Knowledge Base
40+ pre-vetted venues with real attraction names — not generic placeholders. Multi-tiered matching with 5 fallback strategies when exact venues aren't found.
Live Web Research
Zero API key DuckDuckGo research for restaurants, hotels, and current venue info. 70+ hotel chain validations and 18 cuisine types for dining recommendations.
Traffic & Alert Intelligence
Pattern-matched corridor warnings for I-4 Orlando, I-95 Miami, Atlanta metro, and Tampa Bay — with rush-hour estimates. OSRM real road-network routing for actual drive times.
Inline Schedule Editing
Drag, reorder, add, or remove stops. PATCH-based editing with UUID-keyed plan storage. Inline reminders and AM/PM departure time toggles.
Optional DeepSeek AI
Enhanced planning via DeepSeek LLM (deepseek-chat, deepseek-reasoner). Multi-agent framework for specialized planning tasks. Fully optional — core features work offline.
Cross-Platform CLI
Single-command serve with plan-it serve. Auto-start via launchd (macOS), systemd (Linux), or Scheduled Task (Windows). Works on Android (Termux) and iOS (iSH).
From a Sentence to a Complete Itinerary
# You type:
A full day at Magic Kingdom with two kids ages 5 and 8. We arrive at rope drop.
Lunch at Be Our Guest. Must ride Seven Dwarfs Mine Train and Space Mountain.
# Plan-It produces:
┌──────────────────────────────────────────────────────┐
│ Magic Kingdom — Full Day Itinerary │
│ Party: 2 adults, 2 children (5, 8) │
├──────────────────────────────────────────────────────┤
│ 7:45 AM — Arrive at Transportation & Ticket Center │
│ 8:00 AM — Rope drop — head to Seven Dwarfs Mine │
│ 8:15 AM — Seven Dwarfs Mine Train (15 min wait) │
│ 8:45 AM — Peter Pan's Flight (20 min wait) │
│ 9:15 AM — The Many Adventures of Winnie the Pooh │
│ 10:00 AM — Under the Sea ~ Journey of the Little │
│ Mermaid (10 min wait) │
│ 10:30 AM — Dumbo the Flying Elephant │
│ 11:00 AM — Snack break — Storybook Treats │
│ 11:30 AM — Space Mountain (25 min wait) │
│ 12:15 PM — Lunch — Be Our Guest Restaurant 🍽️ │
│ 1:30 PM — Enchanted Tales with Belle │
│ 2:15 PM — Festival of Fantasy Parade viewing │
│ 3:00 PM — Big Thunder Mountain Railroad │
│ 3:45 PM — Splash Mountain (if open seasonally) │
│ 4:30 PM — Refreshment break — Aloha Isle (Dole Whip)│
│ 5:00 PM — Jungle Cruise │
│ 5:45 PM — Pirates of the Caribbean │
│ 6:30 PM — Dinner — Columbia Harbour House │
│ 7:30 PM — Buzz Lightyear's Space Ranger Spin │
│ 8:15 PM — Find spot for Happily Ever After fireworks│
│ 8:30 PM — Happily Ever After Fireworks 🎆 │
│ 9:15 PM — Exit park — monorail/ferry to parking │
└──────────────────────────────────────────────────────┘
# Every stop has actual venue names, real wait-time estimates,
# and built-in travel buffers between attractions.
I don't wander through parks hoping to stumble onto good experiences. I run a structured itinerary — every ride, every meal, every buffer planned. Plan-It turns trip planning from a chaotic Google spiral into a disciplined engineering process.
Built for families, solo travelers, and anyone who wants to maximize every minute at their destination.