How does it know who's responsible?

From meeting context: 'Ivan, can you do this?' → Ivan is owner. Or explicit: 'Ivan assigned to task'. If unclear → asks in Slack before creating.

Can it integrate with Google Meet and Zoom?

Yes. Agent can be invited as participant (listens and parses real-time). Or processes recording later. Zoom needs webhook, Google Meet via GCP API.

Can it create epics or complex structures?

Yes. If action item is large (e.g., 'redesign architecture'), agent can create epic with sub-tasks, not just one task. Depends on context and complexity.

What if meeting was casual, not work?

Agent can filter: 'looks like casual chat, no action items.' Or creates only actionable items. No point creating task from 'how are you.'

Can it save decisions for history?

Yes. Decisions ('chose PostgreSQL over MySQL', 'Q3 budget = $500k') saved to Decision log in Notion or wiki with context, date, participants. For future reference.

How does it handle timeouts and deadlines?

If deadline mentioned in meeting ('by Friday'), agent sets it in Jira. If not mentioned, can ask in Slack or set default (72 hours). Then reminds 24 hours before.

AI meeting parser: automatic tasks from meetings

Meetings → tasks: distribute work without re-typing in Jira

Q: Can it work with Russian meetings?

Yes. Meetings in Russian, English, mixed — agent detects language and parses action items. Creates tasks in same language as meeting.

Agent listens to meeting video/audio (or reads transcript), extracts action items and decisions, creates tasks in Jira/Linear with assignments, deadlines, descriptions, priorities. Syncs with calendar, notifies participants. Russian and English. $19/mo.

Launch AI meeting parser: automatic tasks from meetings

366k+⭐ OpenClaw on GitHub

<5minutes to launch

Sound familiar?

What's eating your time

Meeting ends → no one re-types action items, everyone forgets what to do

Tasks created manually: PM listens to recording, writes in Jira, assigns, spends hour re-typing

Decisions get lost: architectural decisions made, later no one remembers why

Metrics lost: no link between meeting and tasks, no visibility who committed to what

Capabilities

What your AI agent can do

Auto-extract action items

Agent analyzes meeting video/audio (or transcript) → finds action items: 'Ivan should code-review', 'Maria should prepare talk'. Identifies owners, deadlines if mentioned.

Auto-create tasks with assignments

Each action item = separate task in Jira/Linear. Agent auto-assigns (Ivan → code-review), sets priority (if 'urgent' mentioned → high), description from meeting context.

Decision documentation (Decision log)

Agent identifies decisions made: 'Decided to move to PostgreSQL', 'Recalculated Q3 budget'. Saves to Notion or wiki with context: who proposed, when, why.

Calendar sync and reminders

Created tasks auto-added to calendar (deadline in Google Calendar). Agent sends reminders: 'You committed to task X on meeting, deadline in 2 days.'

Clarification and fact-check with participants

After meeting agent sends draft action items to Slack: 'Ivan: code-review by Fri. Maria: talk by Tue.' Participants can correct, clarify, then tasks created final.

Works with your tools

Zoom/Google Meet

Jira

Linear

Slack

Google Calendar

Notion

How it works

Get started in a few steps

Meeting in Zoom/Google Meet

Meeting happens normally, agent present (or processes recording later). People discuss, decide what to do.

Agent listens and parses

Agent listens to meeting (real-time or from recording), identifies: action items ('Ivan will'), decisions ('we chose X'), deadlines if mentioned.

Draft action items in Slack

Agent posts to meeting Slack channel: 'Action Items: - Ivan: code-review PR #123 (urgent) - Maria: talk for Q3 planning (Tue)'. Participants can correct.

Create tasks in Jira/Linear

After confirmation, agent creates tasks: each action item = one task, assigned to owner, priority set, description with meeting reference.

Reminders and tracking

Tasks in Jira, deadlines in Google Calendar. Agent sends reminders: 'You have 2 days to deadline from meeting X.' Updates meeting record as tasks complete.

FAQ

Frequently asked questions

Yes. Meetings in Russian, English, mixed — agent detects language and parses action items. Creates tasks in same language as meeting.

AI Assistant for Project Managers team-lead AI standup collector: daily digest AI-powered commercial proposal generation

Want OpenClaw — without the DevOps?

OpenKlo is managed hosting for the original OpenClaw. Same agent, live in 3 minutes.

Create your AI agent in 3 minutes

Cancel anytime · Top models included · Upgrade anytime