Ruune Desktop
Freemium
Professionals in sales, legal, healthcare, and product
The hour after a discovery call is where projects quietly start failing — requirements half-remembered, notes scattered across three apps, and a developer waiting on a brief that takes two hours to write by hand. TaskyTrack exists to close that gap.
TaskyTrack takes a call transcript or a calendar-connected recording and produces a structured spec — feature breakdown, data schema, UI direction — grounded in what the client actually said. You review it, edit what needs changing, then export directly to a spec.md, a paste-ready prompt for an AI coding tool, or a scaffolded GitHub repo. The workflow is a single pass: call in, spec out, build tool next. The ceiling appears when your discovery calls contain ambiguity that requires back-and-forth clarification — the AI drafts from what was said, not what was meant, and unresolved scope still lands on you.
Bottom line: Pick this if you run agency discovery calls and need a reviewed brief the same afternoon; plan for manual intervention when the call itself was underspecified or the client changed direction mid-conversation.
Start free, no card required
MOST POPULAR
Unlimited specs
View full pricing on taskytrack.com →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in Meeting Assistants. Compare pricing, platforms, and features side by side.
Freemium
Professionals in sales, legal, healthcare, and product
Freemium
Users prioritizing on-device processing and data privacy
The hour after a discovery call is where projects quietly start failing — requirements half-remembered, notes scattered across three apps, and a developer waiting on a brief that takes two hours to write by hand. TaskyTrack takes a call transcript or a calendar-connected recording and produces a structured spec with feature breakdown, data schema, and UI direction grounded in what the client actually said. Users review and edit the output, then export directly to spec.md, a paste-ready prompt for an AI coding tool, or a scaffolded GitHub repo. The workflow runs in a single pass: call in, spec out, build tool next.
Google Calendar integration lets the note-taker join chosen meetings automatically and deliver the spec the moment the call ends. One-click export feeds the spec straight into the build step without retyping or reformatting.
The AI drafts from what was explicitly said. When a discovery call contains vague scope, contradictory statements, or silence on key requirements, the generated spec inherits those gaps. There is no API and no self-hosting option, so teams cannot push specs automatically into Jira, Notion, or custom systems.
Agencies handling multiple client discovery calls, freelance developers and designers, and in-house product and sales teams gain the most from the review-and-edit pass and direct exports. Teams that need automatic handoff to project management tools or that run on ambiguous calls should skip it, as unresolved scope still lands on the user.
Sign in to rate this tool or suggest an edit.