Jon Nutman

AI and efficiency

Checks at every stage

AI workflow, prompt design, quality control, communications

Situation

For Legislative Awareness Week 2026, I needed short videos pointing chapters to the Playbook. We had two people and a simple camera setup.

Constraint

I limited the editing work to free tools. The videos also had to stay non-partisan, so my brief told AI to flag any shot that raised a concern instead of using it.

Decision

A typical first prompt sounds like this illustration: "Make me an animation showing off our tool and what it can be used for." I set up the prompt so I could check at every stage that my vision came through.

  1. Write rough concepts and turn them into shot-by-shot storyboards.
  2. Inventory the footage and log usable moments.
  3. Build a paper edit, then stop for my approval.
  4. Build the draft, then stop for my notes.
  5. Render the final, with measured checks on sound, captions, and text placement.
Excerpt from my video-editing prompt, Oct. 22, 2026. Cuts are marked with brackets.
Compliance: no partisan or endorsement framing (midterms Nov 3); service members in uniform must not imply Department of War endorsement; flag any shot that raises a concern instead of using it. [...]

PROCESS — do these in order and stop where indicated: [...]
3. Paper edit: a table mapping each narrative beat to clip, in/out timecodes, on-screen text, and music beat. STOP and wait for my approval. [...]
5. Draft: render a low-resolution preview plus a contact sheet of the result. STOP for my notes. [...]

QA BEFORE YOU HAND ANYTHING TO ME — report results, not assurances: [...]
- Captions checked against the audio; any uncertain words listed
- Everything readable with sound off

Tell me plainly anything you can't do with these tools and the closest workaround.

I used Claude Design with Opus 5.5. I chose Opus because it was efficient with my usage limits and delivered the results I needed.

Where a check caught a problem

My review notes on the animation flagged zooms cutting off key text, on-screen text timing that needed fixing, the wrong clock format, sound effects that were too loud or harsh, and white lines glitching in one scene. I also rewrote the on-screen message in one scene myself.

How this ties to policy and communications

I also use AI for bill analysis, hearing prep, member materials, and our weekly newsletter. On policy, I directed the Duty Status Explorer with AI, working from the bill text and the RAND report. On communications, I draft our weekly Military & Government Brief with AI from a master file, built to paste into VoterVoice as HTML. Before it goes out, I check the facts and make sure it stays non-partisan. The video prompt set stages I could approve, and my Playbook prompt set outside tests as pass criteria.

Artifact

Result

What I did: I wrote the brief, reviewed each stage, and made the final calls.

What happened: The final video took five drafts and runs about 53 seconds.

Reflection

The point isn't catching AI making a mistake. It's setting up the work so I can check that I've communicated my vision and AI can help efficiently.