Requirements elicitation,without the rewrite afternoon.
Workshops produce whiteboards, raw notes, and half-decisions. Khint captures them, keeps the context, and drafts the structured requirements — from one keyboard shortcut.
The gap between hearing it
and writing it down.
Elicitation is the easy half. A good workshop leaves you with a photographed whiteboard, three pages of shorthand, a chat thread, and a verbal “yes, but only for EU customers” that nobody typed anywhere. The expensive half is the afternoon after: transcribing, structuring, de-duplicating, and re-explaining the whole project to a chatbot one copy-paste at a time. Khint attacks that second half with its three pillars — Agents, Capture, and Memory — wired together behind one palette.
One workshop, start to filed tickets.
A discovery workshop for a payments onboarding feature, step by step.
Start a Memory session before the workshop
Open Khint and start a session — call it “Payments onboarding workshop”. From now on, everything you capture and every Action you run is logged to the session, and Khint keeps a compact running summary of it. That summary is attached to every AI call you make during the workshop, so you never re-explain the project to a prompt. How Memory works →
Capture the whiteboard and the slides
The sponsor sketches the approval flow on a whiteboard. Hit Cmd+Shift+K, pick Extract text, drag a region — the text is OCR'd straight to your clipboard. For a denser artifact, like a process diagram screenshot, pick Capture & ask instead and ask follow-up questions about what's on screen. Both land in the session log. How Capture works →
Turn raw notes into structured requirements
After the call, select your messy notes — in any app — and run an Action from your pack: a requirement-extraction prompt, a user-story formatter, an acceptance-criteria drafter. Because the session context rides along, the Action already knows the stakeholders, the decisions, and the open questions from the whole workshop, not just the paragraph you selected. How Agents work →
File them where the team works
With Atlassian connected, the palette grows Jira and Confluence rows: create the issue, add the comment, or create the Confluence page without leaving your editor. Or chain it: a workflow can run your extraction Action and then a Jira create-issue step in series, so “notes → ticket” is one keystroke. How integrations work →
Hand the context to your AI client
Need a deeper pass — a gap analysis, a risk list? Khint ships an MCP server, so Claude Desktop or Codex can read your active session directly: the captures, the drafts, the decisions, live and without copy-paste. How the MCP server works →
Why not just paste it into a chatbot?
You can — and you'll re-paste the project background into every new conversation, retype what was on the whiteboard, and copy each result back out by hand. Khint removes the three round-trips: Capture reads the whiteboard for you, Memorycarries the workshop context into every prompt automatically, and the Atlassian and Linear integrations file the result where your team will actually read it. And because Actions only see the text you select (plus the session summary you opted into), your stakeholder notes aren't sitting in a chat history — the session itself stays in a local database on your machine.
Common questions.
Can Khint turn a whiteboard photo into requirements?
In two steps, honestly separated. Khint's Capture pillar extracts the text: pick Extract text from the palette, drag a region over the whiteboard (or run OCR on a photo file), and the raw text lands in your clipboard. Structuring that text into requirements is a second, explicit step: paste it, select it, and run an AI Action — for example a requirement-extraction prompt you saved in a pack. OCR extracts; Actions structure.
Does Khint write requirements directly into Jira or Confluence?
Yes, once you connect Atlassian with your email, API token, and cloud domain. The palette then shows Jira rows (Create issue, Add comment, Change status, Pull issue, Active sprint, Search) and Confluence rows (Create page, Pull page). You can also pin a Jira create-issue or Confluence create-page step inside a multi-step workflow, so drafting and filing happen in one run. Linear is supported the same way.
Do I need to write my own prompts?
No. Khint ships starter packs — including Backlog Refiner and Meeting → Ticket — that you can browse and clone from the Agents page. When you do write your own Action, the editor has a Generate button that drafts the prompt from your description, and an Improve button that refines an existing one. Workflows can also be generated from a plain-language description.
Where do my elicitation notes go?
An Action only sees the text you selected, plus — optionally — the compacted summary of your active Memory session. Memory sessions live in a local SQLite database on your machine and are never synced to Khint's servers. Nothing leaves your device silently, and stopping the session closes the context.
Try it on your next discovery call.
Free with 10 AI actions and 5 captures per day. No credit card. Start a session, capture the board, file the ticket.