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AI agent for meteorologists

Training Case Builder Agent

Turn a past event into a complete, structured case with questions for trainees.

Training Case Builder Agent: what goes in, what the agent does and what you get

What it does

A memorable severe weather day is a great teaching case, but gathering the model runs, radar loops, observations, reports and warnings takes days, so most events are never turned into one. This agent takes the date, place and event type from the trainer. It collects model output, radar and satellite imagery, soundings, observations, local reports and the warnings issued. It checks the set against a case checklist, finds missing items such as a lost model run or a radar gap, and searches archives for them. It then arranges the material in time order with questions for trainees at each decision point and an answer key. It rechecks the gaps and the question quality. It never publishes the case. The trainer approves it. Edge case: a case with no radar data for a key hour is flagged unusable for that exercise.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueYes, continueApprovedNoNo 1 STARTS WHEN Trainer selects an event 2 USES A TOOL Search archives for model, radar, satellite,sounding and report data 3 DOES Check the collection against the case checklist 4 CHECKS THE RESULT Is everything on the checklist present? If not: search other archives and mark items that cannotbe found. Back to step 2. 5 DOES Order the data on a timeline with key decisionpoints 6 DOES Draft trainee questions and an answer key 7 CHECKS THE RESULT Can every question be answered from the datasupplied? If not: rewrite the question or add the data it needs.Back to step 5. 8 DOES Assemble the case file with notes for the trainer 9 YOU APPROVE Trainer approves the case 10 RESULT Case ready for the training library
Read the steps as a list
  1. Trainer selects an event
  2. Search archives for model, radar, satellite, sounding and report data
  3. Check the collection against the case checklist
  4. Is everything on the checklist present?If not: search other archives and mark items that cannot be found. Back to step 2.
  5. Order the data on a timeline with key decision points
  6. Draft trainee questions and an answer key
  7. Can every question be answered from the data supplied?If not: rewrite the question or add the data it needs. Back to step 5.
  8. Assemble the case file with notes for the trainer
  9. Trainer approves the caseThe agent waits here for your OK.
  10. Case ready for the training library

How it decides

It marks a case ready when the checklist is complete and each decision point has data to answer its question. Missing items are searched for before any are dropped.

  • Require radar and one model run for each decision point
  • Cut a question if the data cannot answer it
  • Mark a case unusable for an exercise when a key hour is missing
  • Include the warnings actually issued as a comparison

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Case checklist
  • Question count and style
  • Archives to search
  • Level of trainee
  • Output format

What keeps you in control

It always asks you first

  • The finished case
  • Any removal of a required item

Hard limits

  • Never remove data to make a case look cleaner
  • Label substituted data clearly

It stops when

  • Done: case approved
  • Stop: key data is missing for the event

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensFor a June derecho, the agent found 5 of 6 model runs, all radar volumes, and 22 reports. The 06Z run was missing, so it searched a second archive and found it. It wrote 9 questions, and one needed a sounding that did not exist for that hour, so it replaced it with a nearby sounding. The trainer approved.

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