For about two years, my feature tickets were one-liners. 'Add search to the project list.' 'Add dark mode.' 'Let people reorder columns.' I genuinely believed I was empowering my engineers by not over-specifying. What I was actually doing was outsourcing every product decision to whoever picked up the ticket, at the exact moment they were least equipped to make it: head-down, mid-sprint, with no context about the three edge cases I had in my head but never wrote down.
The result was a predictable ritual. We would demo at sprint review. The feature would work for the happy path and fall apart the second anyone did something slightly off-script. 'What happens when search returns nothing?' Blank screen. 'What about two characters?' Fires off a query on every keystroke. 'Is it keyboard accessible?' Long pause. And then the rework, which is the slowest and most morale-draining work there is, because you are rebuilding something you already thought was done.
What changed when I added one step
I started running every feature through the Write a User Story and Acceptance Criteria from a Plain Feature Description prompt before I created the ticket. I picked Grok 4.1 Fast Reasoning on purpose, because this is a thing I do ten times a day and I do not want to wait. It is fast enough that there is no temptation to skip it. I paste a sentence, I get back a real ticket, the friction is basically zero.
For that same 'add search' feature, it returned eight acceptance criteria. I had genuinely thought of about three. The other five were the exact things that always blew up in review: an empty-state with helpful placeholder text, a minimum of two characters before firing, a 300ms debounce so we do not hammer the API on every keystroke, a no-results state with a suggestion, an error state when the search service is down, full keyboard navigation, a loading indicator, and an analytics event on submit. That is not me being a genius. That is the prompt encoding the checklist a careful senior PM would have walked through, every single time, without getting tired.
- Sprint-review rejections dropped from roughly three per sprint to under one. The work matches the intent now because the intent is written down.
- Post-release bugs on new features fell noticeably, because the definition of done forces the boring guarantees: tests exist, the analytics event fires, the empty state is handled.
- Onboarding a new engineer got faster. The acceptance criteria tell them exactly what 'done' means, so I do not have to be in the room for every ticket.
- The out-of-scope section quietly ended a recurring fight by saying, in writing, 'this story does not include search across all workspaces,' so nobody built it and then felt robbed when it got cut.
The section I underrated
If you had told me two years ago that the most valuable part of an AI-generated ticket would be the out-of-scope list, I would have laughed. But it turns out half of all alignment problems are not 'we disagree on what to build,' they are 'we silently assumed different boundaries.' An explicit out-of-scope bullet is a tiny sentence that prevents a giant misunderstanding. I now read that section first.
The definition-of-done section earns a similar amount of my affection, for a different reason. It is the part that makes 'done' mean the same thing to me and to the engineer. Before, 'done' meant 'it works when I click it.' Now the ticket spells out that done means tests exist, the analytics event fires, and the empty and error states are handled. The number of times a feature shipped 'done' and then we discovered we had no idea if anyone used it, because nobody added the tracking event, was genuinely embarrassing. The prompt puts that event in the definition of done every time, so we stopped shipping blind.
Where I still override it
It is not flawless. Sometimes it invents an edge case that does not apply to our product and I delete it. Occasionally the definition-of-done suggests a doc that does not make sense for an internal-only feature. The honest workflow is: generate, then spend ninety seconds pruning. That is a fundamentally different and better task than writing acceptance criteria from a cold start at 4:45pm.
If your tickets are one-liners and your sprint reviews are surprise parties, grab the Write a User Story and Acceptance Criteria from a Plain Feature Description prompt on Prompt Dock and run it on the next thing you are about to send to engineering. I feed it the user stories straight out of my Turn a Rough Idea or Slack Thread into a Team-Ready PRD prompt, and the whole pipeline from idea to ticket stays in one voice.