The AI agent for product teams
Modem clusters customer signal into prioritized topics, files the ticket and delegates the fix to a coding agent when you ask, with your approval in Slack and, by default, in the dashboard on anything public or customer-facing.
See it on your own data.
Because coding isn't the slow part
Teams are still spending too many cycles chasing down feedback, curating their backlog, and following up with users. Tedious work often done by a single person who holds all the context and bottlenecks execution. Modem fixes that.
Build what's actually important
Every bug report, every feature request, automatically clustered and prioritized
Unified company & user profiles to understand who matters and who can wait
Spot emerging trends before they become fires
New ConversationWhat are the biggest issues my customers are facing?
Here are three conversations from this week with lots of activity and high priority customers:
High
High
Medium
ProductI've been encountering frequent timeout errors when trying to search in the web app
@modem can you make a ticket for this, include any other relevant conversations, and assign me?
Done! This problem has been mentioned by two external customers as well. I've included a rollup in the ticket.
Timeout issues when searching in web app
Issue ENG-2831 in Linear
Multiple customers have reported timeout errors when searching in the web app. Here is...
Act on problems you didn't know you had
Get alerted to user concerns as they happen, not days later
Create detailed tickets straight from chat or through automations you set up
Delegate tasks to coding agents with the context they need to be successful
Close the loop at scale
Draft follow-ups to customers when their requests ship
Generate user-tailored release notes from GitHub PRs and Linear tickets
Automate personalized recurring digests, triage reports, and more in plain English
New ConversationCan you send our customers release notes every Monday at 9am based on what we've merged?
I created a scheduled task to post release notes for your customers based on your team's Github and Linear history:
Post Release Notes
Every Monday at 9am PT
Would you like me to ask you first with the notes for approval?
Not just an agent – a multiplayer platform
Built on a real-time discussion graph
Long-term memory sourced from user and team discussions
No tagging, no triaging — it just organizes itself
Semantic search that finds what you mean, not just what you type
What an AI agent for product teams does
An AI agent for product teams turns scattered customer signal into prioritized, actionable work, then acts on it inside the tools you already use. Modem is an AI agent for product managers and engineers: it reads Slack, Discord, support tickets, sales calls, and issues, clusters them into topics, prioritizes each one with an AI score that weighs severity and how many companies are affected, and can file the ticket or delegate the fix to a coding agent over MCP, with your approval in Slack and, by default, in the dashboard on anything public or customer-facing.
Clusters, not just collects
Reports from five different channels about the same bug land in one topic instead of five separate tickets.
Prioritizes what matters
Each topic gets an AI-assigned priority that weighs severity and how many companies are affected, so the biggest problems surface first.
Executes, with approval where it matters
It files tickets and delegates fixes when you ask or through automations you set up. In Slack and, by default, in the dashboard, anything public or customer-facing waits for your approval first. Automations run without an approval step.
A custom context graph for your product
Modem reads your sources and turns them into a graph your agents can query directly.
Signals pulled in continuously from Slack, Discord, tickets, sales calls, GitHub, and email
Agents answer from the graph instead of re-reading raw threads, so runs burn fewer tokens
Answers arrive grounded, with the original customer quotes attached
An agent for product execution, not just insights
Most feedback tools stop at a report, a dashboard, a summary, a chart. An agent for product execution goes further. It files the ticket, alerts the right people through automations you set up, and delegates the fix, so the loop from customer signal to shipped change closes instead of ending in a slide deck. See how Modem does this for issues in Linear and GitHub.
How the agent decides what to act on
- 1
Cluster the raw signal
Slack threads, Discord messages, support tickets, and sales call notes about the same problem get grouped into one topic, deduplicated across sources.
- 2
Prioritize by severity and breadth
Each topic gets an AI-assigned priority that weighs how severe the impact looks and how many companies are affected, so the agent and your team know what to look at first.
- 3
Route it with automations
Topics have no assigned owner, but you can set up automations or ask the agent to alert the person or team who can act on one, in engineering, product, support, or GTM.
- 4
Hold customer-facing writes for approval
In Slack and, by default, in the dashboard, replying to a customer or filing an issue on a public repo waits for a human to approve it first.
- 5
Delegate implementation
Fixes get handed to Claude Code, Cursor, or Devin with the bug reports and customer quotes attached, and come back as a pull request. See the guide on routing feedback to coding agents.
Who an AI agent for product teams is built for
Modem fits teams that want feedback to turn into prioritized work instead of a growing backlog nobody triages.
Engineering-led product teams
Teams where engineers pick up their own priorities and want them prioritized before they start, not after a status meeting.
Lean product orgs
One or two PMs covering a growing surface area, who need triage and prioritization handled automatically.
Devtools and B2B SaaS companies
Companies where bug reports and feature requests spread across Discord, Slack, and support, and someone has to decide what matters first.
Common questions about AI agents for product teams
What can an AI agent do for a product team?
Modem clusters feedback from every connected source into topics, prioritizes them with an AI score that weighs severity and how many companies are affected, and, when you ask, files tickets and delegates fixes to coding agents. In Slack and, by default, in the dashboard, public or customer-facing actions, like a reply to a customer or an issue on a public repo, need your approval.
What is an agent for product execution?
An agent for product execution does more than summarize feedback. It acts on it when you ask or through automations you set up: filing the ticket, alerting the right people, and handing the fix to a coding agent, so the work moves instead of sitting in a report.
Does it act without approval?
Clustering and prioritizing happen automatically. Filing a ticket or delegating to a coding agent happens when you ask or through an automation you set up. Automations run without an approval step, so they act on what you configure. In Slack and, by default, in the dashboard, anything public or customer-facing, like a reply to a customer or an issue on a public repo, waits for your approval first.
Is this an AI agent for product managers, or for engineers?
Both. Product managers get prioritized topics with customer context attached; engineers get tickets with the customer quotes attached, and can delegate the fix straight to a coding agent.
Can the agent write code?
No. It delegates implementation to coding agents like Claude Code, Cursor, and Devin, with the bug reports and customer quotes attached, and the coding agent can return a pull request.
Close the product gap
