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VarksTECHNOLOGIESBuilding Intelligent Solutions
Product

MeetScribe

A tool that turns meeting recordings into structured software requirements, including user stories, acceptance criteria, and action items.

Live — Early ProductOpen Product
MeetScribe screenshot

The Problem

Product and delivery teams lose hours after every discovery call manually rewriting discussion notes into user stories, acceptance criteria, and action items — often losing detail and momentum in the process.

Outcomes

  • Removes manual meeting-to-backlog documentation work from the requirements process
  • Moves teams from raw discussion to structured, exportable tickets the same day
AI AgentsLLM IntegrationPython

Key Capabilities

  • User story extraction
  • Acceptance criteria generation
  • Action item identification
  • Export to Jira, Azure DevOps, and Linear

Built for

  • Business analysts
  • Product managers
  • Software teams running client discovery calls
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Why we built it

Every discovery call produces hours of manual note-taking afterward — rewriting a conversation into user stories and action items someone can actually work from. We wanted that step to take minutes, not hours.

What we're learning

We're exploring how reliably AI can turn unstructured meeting conversations into requirements that development teams can actually use.

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