Turn a rough draftinto a spec people can read
A first-pass PRD is a brain-dump: a goal line, scattered bullets, a flow that trails off. Khint polishes it into a clear, consistent product spec with a reusable AI action, keeps the context with Memory, and publishes the result to Confluence from the same keyboard shortcut.
The draft is done,
the spec is not
Between “I wrote down what I want” and “the team can review this” sits an hour of unglamorous editing: tightening the goal, making the terminology consistent, filling the sections you skipped, and dragging the open questions out where reviewers will see them. Khint runs that pass where the spec already lives — an agent on the selection, with your session context riding along.
The palette comes to the text, not the other way around
No window to open, no tab to switch, nothing to paste twice. Khint reads the selection where it is and writes the answer back in the same place.
The real palette: an agent runs on the selected draft and the tightened version is pasted back in place.
One pass, draft to reviewable
Sharpening a rough “Checkout v2” PRD into a spec ready to share.
Open a session for the spec
Before you open the draft, start a Memory session: call it “Checkout v2 PRD”. Every agent you run is logged to it, and Khint keeps a compact running summary. That summary rides along on each AI agent, so as you polish section after section the model already knows the feature, the constraints, and the decisions you've already locked in. See how Memory works.
Select the rough draft where it lives
Your first pass is a brain-dump: a goal line, some bullets, a flow that trails off. You don't have to move it anywhere. Select the draft in your editor, your Notion page, or a Confluence draft, hit Cmd+Shift+K, and Khint reads exactly what you highlighted, nothing else from the screen. See how agents work.
Run the polish agent
In Agents, save an agent like “Polish the spec”. No prompt yet? Type a description and press Generate. Khint drafts one that returns a clear problem and goal, consistent terminology, complete sections, and the open questions pulled to the surface. Or clone the Doc Polish starter pack for a working agent. Run it and the tightened spec is pasted back in place.
Fill the gaps and pin the criteria
Polish flags what's missing; a second agent fills it. Run an acceptance-criteria drafter on the user-facing sections to return Given/When/Then and edge cases, or a summarizer to write the TL;DR the reviewers read first. Chaining polish and criteria into one workflow turns “rough draft to reviewable spec” into a single shortcut.
Publish it for review
When the spec is ready, connect Atlassian and the palette adds a Confluence Create page row. The polished PRD lands as one page the team can read and comment on before the planning meeting. One write per run, so publishing is always deliberate. See how integrations work.
Draft to published, in one shortcut
Up to five steps in series: AI agents, then an integration write at the end.
Swap the drafting agents for your own: your team's spec template, a definition-of-ready check, a translation step for a distributed team. The write step is what makes the workflow worth saving — the spec leaves your editor and lands where reviewers already are, and the page URL comes back as the workflow's result.
Why not just paste the draft into a chatbot?
You can, and for every spec you'll re-paste the product context, restate the structure you want, and copy the result back into the doc by hand. Khint removes the round-trips: the polish agent is saved once and reused on every draft, Memory carries the feature context into every prompt automatically, and the Confluence integration publishes the finished spec where the team will actually read it. Because agents only see the text you select, plus the session summary you opted into, your unreleased PRD isn't sitting in a chat history.
Common questions
What does Khint actually do to a PRD draft?
A PRD (product requirements document) usually starts as a fast brain-dump: a goal sentence, some bullet fragments, a couple of half-formed user flows. Khint sits behind one shortcut (Cmd+Shift+K) so you can polish it without leaving the doc. Select the rough draft, run a reusable agent, and get back a tightened version: a clear problem and goal up top, consistent terminology, the sections filled in, and the open questions surfaced instead of buried. You stay in your editor, your wiki, or your browser, wherever the PRD already lives.
How is this different from cleaning up a Confluence page?
Confluence cleanup is about an already-published page that has gone messy: stale formatting, duplicated headings, a wall of text someone has to re-skim. PRD polish happens one step earlier: you're sharpening a fresh draft into a spec that's ready to share for review. Khint helps with both, but a polish agent is tuned to upgrade a rough requirements draft to a reviewable standard rather than to reformat existing content. When the spec is ready, you can publish it as a Confluence page from the same palette.
Do I have to write the polish prompt myself?
No. In the agent editor, type a one-line description and press Generate. Khint drafts the prompt; press Improve later to refine it in place. Khint also ships a Doc Polish starter pack you can browse and clone from the Agents page, so you start from a working polish agent without writing anything from scratch.
Where does my unreleased spec text go?
An agent only ever sees the text you selected, plus the compacted summary of your active Memory session if you opted in. Memory sessions live in a local SQLite database on your Mac and are never synced to Khint's servers. Stop the session and the context is closed. Nothing about your roadmap or unreleased spec leaves your device silently.
Polish your next spec in place
Free with 300 credits a month, about 10 AI actions a day. No credit card. Save the agent once, polish every draft after.