Product

Ship what matters. Skip the noise.

Your agents synthesize feedback, track competitors, and keep docs in sync – so your team can make better decisions, faster.

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Slack

Salesforce

Enriched with deal size from CRM

Jira

Ranked by revenue-weighted impact

Jira

Created top 5 Jira stories with criteria

Product agent

Feature Analyzer

47 requests analyzed

5hrs

saved on sprint reporting

10x

more feedback synthesized

Real-time

competitive tracking

Product Agents

See Product agents in action.

Real workflows with tool requests, reasoning steps, and approval gates – exactly how they run in production.

Integrations

Connects to your entire product stack

100+ OAuth connectors – permissioned and secure. Your agents work across every tool your team already uses.

Jira
Jira
Linear
Linear
Slack
Slack
Gong
Gong
GitHub
GitHub
Confluence
Confluence
Notion
Notion
Google Docs
Google Docs
Google Sheets
Google Sheets
Amplitude
Amplitude
Figma
Figma
Intercom
Intercom
90+
more
End-to-End Workflows

Automation for your most critical product workflows

Feedback Synthesis

Aggregates customer feedback from Slack, support tickets, sales calls, and NPS surveys – then themes it into actionable insights with specific examples.

Sprint Summary Generation

At the end of every sprint, your agent generates a summary from Jira progress, merged PRs, and standup notes – ready for stakeholders.

Competitive Intelligence

Every competitor mention in a sales call, support ticket, or Slack thread gets captured and surfaced as a trend report for the product team.

Roadmap Sync

When Jira epics change status, your agent automatically updates the roadmap docs in Confluence and Notion – keeping stakeholders aligned.

Feature Request Tracking

Maps feature requests to specific accounts and revenue. When a requested feature ships, your agent notifies every account that asked for it.

Release Notes Generation

Drafts release notes from merged PRs and Jira tickets – formatted for internal stakeholders and external customers.

FAQ

Frequently asked questions

AI agents synthesize feedback from support tickets, sales calls, user research, and community channels into prioritized themes. Product managers get signal instead of noise, grounded in real customer data.

Coworker agents automate feedback synthesis, sprint reporting, competitive intelligence monitoring, roadmap syncing, release notes generation, feature adoption tracking, and user research session analysis.

Coworker agents aggregate feature requests from Jira, Intercom, Gong, Slack, and user research to quantify demand by customer segment, revenue impact, and frequency. This replaces gut-feel prioritization with data-backed decisions.

Yes. Coworker agents monitor usage metrics, support ticket volume changes, and customer feedback after each release to measure adoption and surface issues early, feeding insights back to the roadmap.

Product analytics tools show you what users do. Coworker connects that data with sales conversations, support tickets, and internal discussions to tell you why users behave that way and what to build next.

Create your first product agent in 5 minutes

Connect your tools, pick a workflow, and your first agent runs before you finish setup.

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