How to use AI to write award bullets (safely)
Service & Veterans
Award write-ups have a way of landing at the worst time. You know the person did great work, you've got a pile of notes, and turning that into tight, impact-first bullets takes longer than it should.
That rewording job is where AI actually helps. Facts are where it doesn't. It wasn't there, so it can't know what happened. And the data you'd need to describe it is often exactly the stuff you can't paste.
First, pick the right tool
If the write-up is official work (and an award recommendation is), use the AI platform your command has approved. For most of DoD that's GenAI.mil, which you reach with your CAC on NIPR. It's authorized for CUI. But a January 2026 Department of the Navy memo is clear that PII and PHI "are not permitted for use on this platform." So the scrubbing step below still applies there.
Don't paste award material into personal ChatGPT, Gemini, or Claude. The Army CIO's guidance says users "should have no expectations of privacy" with what they put into these tools, and DoD's CUI rules require CUI to stay on DoD or approved contractor systems. Lots of award details are CUI, or close enough that you shouldn't gamble.
Not sure what's approved at your unit? Ask. Can I use ChatGPT in the military? covers the bigger picture.
Scrub your notes before AI sees them
This takes a couple of minutes, and it's the step that matters most. Go through your notes and take out or replace:
- Names (yours, the member's, anyone else's). Use "the member" or "SM."
- DoD ID numbers, SSNs, dates of birth, and contact info
- Unit names, ship or squadron names, and locations
- Mission names, operation names, dates and times of anything operational
- Capabilities, readiness numbers, equipment counts, and vulnerabilities
- Medical details, family situations, or anything from a counseling
What's left should read like a generic job description with real results in it. Here's a made-up example of the shape: "Led a 6-person team. Rebuilt the parts tracking process. Cut backorders from about 40 to 12 over 3 months. Trained 4 junior members who now run it." That's plenty for AI to work with.
If a number would be sensitive on its own, describe it as a change instead. "Cut processing time roughly in half" says the same thing without giving anything away.
The copy-paste prompt
Paste this, then your scrubbed notes underneath:
You're helping me draft award bullets from my own notes.
Rules:
- Use ONLY the facts in my notes. Do not add numbers, results, or
scope that aren't there.
- If a bullet needs a result I didn't give, write [NEED RESULT]
instead of guessing.
- Format each bullet as: strong action verb, what was done,
then the impact or result.
- Keep each bullet to one line, about 20 words or fewer.
- No acronyms unless they're in my notes.
- Give me 3 versions of each bullet: plain, punchy, and formal.
Then list any claims in my notes that sound vague and suggest
one question I should answer to make each one stronger.
NOTES:
[paste your scrubbed notes here]
The [NEED RESULT] rule matters most. Ask a chatbot for "impact" and it'll happily make some up: a percentage, a dollar figure, a mission that was "enabled." That's how a made-up claim ends up in an official document with your name on the recommendation.
Make it fit your service's format
Award formats and limits differ by service and by award, and they change. I'm not going to guess at character counts here. Grab the current template or example from your admin shop, then use a follow-up like this:
Here is the required format and length limit for this award:
[paste the format rules or a blank template, no names]
Rewrite the bullets above to fit it exactly. If something
has to be cut to fit, tell me what you cut.
Your service's awards guidance and your admin shop's format win over anything AI produces. If AI's output and the template disagree, the template is right.
Check every bullet before it goes anywhere
Read each bullet against your notes, line by line. Ask yourself:
- Did this actually happen, exactly as written?
- Is every number from my notes, not from the AI?
- Would the member's supervisor sign off on every claim?
- Is there anything here that's now more sensitive than my notes were? Sometimes AI adds context that sounds like a location or mission.
- Does it sound like a person wrote it? Cut words like "spearheaded synergistic" if nobody in your unit talks that way.
Then put the real names and unit info back in yourself, outside the AI tool, in the actual form.
The Army's AI guidance says you should label documents created in whole or in part with AI output. Check whether your service or command has a similar rule and follow it.
Where AI helps most (and where it doesn't)
It's genuinely useful for:
- Turning a messy paragraph into a clean action-impact bullet
- Swapping weak verbs ("helped with," "was responsible for") for stronger ones
- Trimming a bullet that's two words over the limit
- Giving you a few phrasings when you're stuck on the same one
It's no help with knowing what happened, judging whether something rises to the level of a given award, or deciding what's sensitive. That's on you and the chain.
Keep the notes going all year
The best award bullets come from notes written when things happen, not reconstructed months later. A simple habit: keep a running unclassified log of wins for yourself and your people, with dates and rough numbers, and no names or details you couldn't paste. When award season or eval time comes around, you already have clean input.
That same log works for your own transition later, too. Translating military experience into a civilian resume uses the exact same raw material. More for people in uniform is on the Service & Veterans track.
Start the log today. One line per win is enough.
Sources
- Secretary of War memo, "Harness Artificial Intelligence Now with GenAI," Dec. 9, 2025 (DocumentCloud copy)
- ASN(RD&A) and DON CIO joint memo designating GenAI.mil, Jan. 28, 2026 (PII and PHI not permitted)
- Army CIO guidance on generative AI and large language models (ADS-GOV-AI-024), June 27, 2024
- Air Force JAG Corps, "Large Language Models", Aug. 7, 2025 (on DoDI 5200.48 and CUI)
Checked against these sources on Oct. 21, 2026. Policies change, so confirm with your command. How this is made: an AI editor drafts and fact-checks each article. If we get something wrong, we fix it and note the change.
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