Ingest the package
The agent pulls the airport's available NOTAM package — every notice tied to that location, not just the ones that look interesting.
AI NOTAM decoder
The AI agent that reads and decodes NOTAMs for pilots
TaxiwayClosed AI is an AI NOTAM parser built for pilots. It reads the entire NOTAM package for an airport, decodes each surface closure field by field, and marks a clear cross on the airport map — so flight preparation starts with one glance instead of a wall of abbreviations.
Awareness and training aid only. Always verify with official NOTAM briefings, current charts, approved EFBs, ATC, dispatch, and company procedures before any real operation.
What is an AI NOTAM parser?
An AI NOTAM parser is software that reads raw NOTAM text and turns it into structured, understandable information. TaxiwayClosed AI works as an AI agent for pilots: it ingests the full NOTAM package for an airport, filters the items that affect the airport surface, and decodes each closure field by field — location, subject, condition, and schedule. It then matches the decoded feature to the airport's surface geometry and places a clear cross (X) on the map exactly where a taxiway or runway is closed, together with a confidence level and a mapped status. A NOTAM (Notice to Air Missions, formerly Notice to Airmen) is a time-critical notice alerting pilots to hazards or changes — such as a closed taxiway or runway — at an airport or along a route. TaxiwayClosed AI is an awareness and training aid, not an official briefing source.
The point of the decoder is not to hide the NOTAM from you. It is to give pilots a faster first pass during flight preparation: the map shows where closures are, and the decoded summary sits next to the raw text so every claim the AI makes can be checked against the original wording.
How does the AI agent read a NOTAM package?
When you open an airport, the agent runs the same pipeline every time. Each step narrows dense NOTAM text down to something a pilot can review on a map.
Identify surface closures
It filters for surface-relevant items: taxiway, runway, apron, ramp, stand, and movement-area closures and restrictions.
Decode each field
For each item it decodes location, subject (which taxiway or runway), condition (closed, restricted, between which points), and schedule (start and end times).
Match to airport geometry
The decoded feature is matched against the airport's surface geometry, so "TWY M between CS and F" becomes an actual segment on the diagram.
Place the cross
A cross (X) is drawn directly on the matched taxiway or runway segment, so one glance at the map shows what is closed.
Assign confidence and mapped status
Each item gets a confidence level and a mapped status that tell you how sure the agent is — and when to read the raw NOTAM text instead.
How is a real NOTAM decoded, field by field?
Here is the kind of NOTAM the parser handles every day — a taxiway closure at Denver International (DEN) in standard domestic format:
!DEN 07/032 DEN TWY M BTN TWY CS AND TWY F CLSD 2607131300-2607202100
The agent decodes it like this:
| Field | Meaning |
|---|---|
| !DEN | Accountability location — the facility responsible for the NOTAM (Denver International). |
| 07/032 | NOTAM number: the 32nd NOTAM issued in July. |
| DEN | Affected location — the airport the notice applies to. |
| TWY M | Subject: Taxiway M. |
| BTN TWY CS AND TWY F | Condition scope: only the segment between Taxiway CS and Taxiway F is affected. |
| CLSD | Condition: closed. |
| 2607131300 | Schedule start: 13 July 2026, 13:00 UTC. |
| 2607202100 | Schedule end: 20 July 2026, 21:00 UTC. |
After decoding, the agent looks up Taxiway M in DEN's surface geometry, isolates the stretch between CS and F, and places the cross on exactly that segment of the taxiway closure map. During flight preparation you see immediately that Taxiway M is unusable between those two intersections for the published window — and the raw text stays one tap away. If you are still learning the abbreviations themselves, the student pilot NOTAM training guide walks through them from scratch.
What do confidence and mapped status mean?
Every decoded closure carries two cues. Confidence reflects how cleanly the NOTAM text was parsed and how unambiguous the wording was. Mapped status reflects whether the decoded feature was actually matched to the airport's surface geometry — a closure can be decoded correctly yet remain unmapped if the taxiway is missing from the map data.
LOW confidence has a specific meaning: read the raw NOTAM text yourself. It signals that the wording was ambiguous, unusual, or only partially parsed, so the summary and the cross position may not capture the full restriction. High confidence is not a safety determination either — these cues describe parsing quality, never operational validity. The raw text and your official briefing always win.
Where does the AI decoder reach its limits?
Honest limits matter more in aviation than anywhere else, so here are the parser's, plainly:
- Ambiguous NOTAMs. Free-text wording, non-standard abbreviations, or complex conditions with exceptions can be misread or over-simplified. That is exactly what LOW confidence flags.
- Unmapped features. Surface geometry comes from open map data. If a taxiway or apron is missing or mislabeled, the closure cannot be marked — it appears as unmapped, and only the text tells the story.
- Freshness. NOTAM feeds and map data can lag or be temporarily unavailable, so a very recent notice may not appear yet, and a cancelled one may briefly linger.
- Coverage. The agent focuses on surface closures; it is not a substitute for reviewing the full package, including airspace, procedure, and lighting NOTAMs.
The data sources and limitations page documents where the NOTAM-style information and map geometry come from and how fresh they are expected to be. For real flight preparation, pilots should always pull the current package from official sources such as FAA NOTAM Search and their approved briefing tools.
Related pages
Graphical NOTAMsWhy seeing a closure drawn on the airport diagram beats re-reading abbreviations, and how graphical NOTAM awareness supports training.Airport surface NOTAM appThe full app tour: airport search, surface map, decoded closure report, and how it fits into pre-flight NOTAM review.Data sources and limitationsWhere the NOTAM-style data, map geometry, and AI summaries come from — and every limitation stated plainly.
Let the AI agent do the first read of your NOTAMs
Download TaxiwayClosed AI, glance at the crosses on the airport map, then verify everything with official sources before any real-world operation.
Awareness and training aid only. Always verify with official NOTAM briefings, current charts, approved EFBs, ATC, dispatch, and company procedures before any real operation.