Level 3: Agent Builder
Level 3TRAINING SIM

AAR — Op NORTHERN HORIZON 26-04 (Training AAR Review)

Notional AFRC After-Action Report. Ask the AI to identify OPSEC issues, apply 8-Step Problem Solving framing to root-cause observations, and recommend corrective actions with a CCIR/SIR routing summary.

Launch in GenAI.mil — Analyze AAR

Opens the GenAI.mil training simulator with this scenario prompt pre-filled and ready to send.

How to walk through this scenario

1

Understand the document

Read the notional AAR overview in the prompt. Note the five key events: pre-deployment data leak via Gmail, inflight boom hydraulic failure, contractor conduct issue, OPSEC social-media violation, and an augmentee DMS provisioning gap.

2

Launch in GenAI.mil and send the prompt

Tap "Launch in GenAI.mil" — the full AAR prompt will be pre-filled. Hit Send and watch the AI reason through each finding.

3

Review the BLUF and OPSEC findings

The AI should produce a BLUF paragraph first, then list each OPSEC and conduct issue. Discuss with your group: did the AI catch all five events? Did it miss anything or hallucinate one that isn't there?

4

Evaluate the 8-Step / Fishbone framing

The AI should apply structured root-cause framing to the five observations (para 5 of the AAR). Compare its framing against the "Initial Root Cause Observations" section. Is it accurate? Is it useful for a commander?

5

Check the corrective-action recommendations

The AI should recommend corrective actions and a CCIR/SIR routing summary. Validate against the AAR's para 6. Key point: the AI is reasoning over a complex document — this is a Level 3 agent behavior, not a simple Level 2 prompt.

6

Debrief: what makes this Level 3?

Contrast with Level 2: you pasted one document and got a structured multi-step analysis. At true Level 3, this would trigger automatically whenever a new AAR hits a shared drive — same output, zero manual effort, every time.

Generate a Poster

Make a poster

Copy and paste into ChatGPT, Claude, Gemini, or GenAI.mil

Create a serious, mission-focused OPSEC awareness poster (portrait, 18×24 inches, 300 dpi) for a U.S. Air Force Reserve Wing. Theme: "Lessons Learned — OPSEC Never Sleeps."

HEADLINE: "One Post. One Picture. One Breach."
SUB-HEADLINE: "OPSEC Lessons from Operation NORTHERN HORIZON 26-04 (Notional After-Action Review)"

VISUAL CONCEPT:
- Stark, high-contrast design: dark Air Force blue / near-black background, sharp white and amber typography
- Top third: silhouette of a KC-46A Pegasus tanker against a night sky
- Center: three large warning callouts styled as incident cards:
  ① "Pre-deployment data transferred via personal Gmail — CUI spillage risk"
  ② "Geo-tagged social media posts revealed aircraft tail numbers and unit patches"
  ③ "Augmentee DMS accounts not provisioned — 47-min comms gap during divert"
- Bottom: a bold lesson banner: "AI can draft your AAR analysis — but only if you practice OPSEC first."

COLOR PALETTE: Air Force dark blue (#003087), near-black, amber (#FFB300) for warning cards, white bold text
FOOTER: "NOTIONAL · FOR TRAINING USE ONLY · 999th Air Refueling Wing (Notional) · AIBMM Level 3"

Paste this prompt into any AI that supports image generation — ChatGPT (GPT-4o / 5.5), Claude Opus, Gemini, or GenAI.mil. The poster is notional and for training purposes only.

Ready to run it?

The prompt is pre-filled. Just hit Send and watch the AI respond.

Launch in GenAI.mil