Product Manager
Your autonomous PM that writes PRDs, manages the roadmap, and coordinates with stakeholders, so you can focus on product strategy.
From $50/month
People use
at:
The PM bottleneck
Product managers spend too much time on documentation and coordination. Your PM handles the operational work so you can focus on vision and strategy. *
* if you want, we won't stop you from delegating that too...
Core skills at a glance
Autonomous product operations and documentation
PRD writing
Creates detailed product requirements documents directly into your roadmap tool after discussions with stakeholders.
Google DocsPRD writing
Roadmap management
Keeps your product roadmap updated, prioritized, and aligned with business goals.
Notion
Stakeholder coordination
Gathers requirements, facilitates discussions, and keeps all parties aligned on product direction.
Jira
Feature prioritization
Analyzes user feedback, market data, and business goals to recommend feature priorities.
Google SheetsHow it works
From raw ideas to specs, roadmap, and release notes.
- 01
Product ManagerGive it product context
Share your product docs, roadmap, and goals. The worker learns your domain, your users, and how you write specs.
- 02
Connect your product stack
Link Notion, Jira, or Linear so PRDs, stories, and roadmap items live where your team already works.
- 03Product Manager
- It keeps documents aliveSpecs stay linked to tickets, the roadmap updates as reality changes, and release notes are drafted from what actually shipped.
- You review and decideEverything arrives as a draft for your call: you approve, edit, or redirect, and the worker learns your preferences.
Feed it the inputs
Feature ideas, user feedback, support themes, and competitor moves go in; structured PRDs and prioritization briefs come out.
Works inside your product stack
Your product manager writes and updates where your team plans and builds.
- Notion
- Jira
- Linear
- Google Docs
- Google Sheets
- Gamma
Mixpanel
Plus 50 more integrations, from analytics to presentation decks for stakeholder reviews.
All integrations
A day in the life
A working rhythm for an AI Product Manager between two releases.
@Taylor What are users complaining about most this month?
3 tool calls · done in 38s
Went through 212 tickets and reviews. Three themes: slow CSV export at 31%, confusing permissions at 22%, no bulk edit at 17%.
- Themes and quotes documented in Notion✓
- Linked to 9 existing Linear tickets✓
Is bulk edit worth prioritizing?
Likely. In Mixpanel, 41% of weekly users edit 10 or more records per session. I added it to the roadmap review.
See the full day
Summarizes overnight user feedback from support tickets and reviews into three themes.
Drafts the PRD for the next feature, linked to designs and open questions for you.
Updates the roadmap in Notion after two tickets slipped, and notes the downstream impact.
Prepares the stakeholder review deck with progress, metrics, and decisions needed.
Writes user stories with acceptance criteria for the sprint and files them in Linear.
Publishes release notes for today's ship and posts the internal announcement.
Compiles a competitive brief on a rival's launch, with implications for your roadmap.
Don't take our word for it
I was skeptical about AI workers the same way I was skeptical about the first CRM I ever used. Now I save 3 to 5 hours a week, and more importantly, nothing falls through the cracks. Clara manages my calendar, runs my outreach, and keeps my pipeline current. Ricardo watches the BPO market so I don't have to. Both were running in under an hour. That's the part nobody tells you: the setup is the easy bit.
Tue SøttrupCEO
Smart RoleCoordinating the production and logistics of training programs used to consume most of my week. Now my AI worker handles scheduling, vendor follow-ups, and participant communications autonomously.
We can say we have a 100% autonomous employee. The efficiency gain has been absurd.
Full capability list
Everything your Product Manager can handle
- Product requirements document creation
- Roadmap planning and updating
- User story writing
- Sprint planning support
- Stakeholder meeting preparation
- Competitive analysis
- Feature specification
- Release notes writing
- User feedback synthesis
- Integration with Notion, Jira, Linear
Frequently asked questions
What product leaders ask before delegating the production work.
What does an AI Product Manager do?
It drafts PRDs, writes user stories, maintains the roadmap, prepares stakeholder meetings, synthesizes user feedback, runs competitive analysis, and writes release notes, working autonomously inside Notion, Jira, and Linear.
Does it make product decisions?
No. It prepares the inputs (specs, analysis, synthesized feedback) and keeps documents current, while prioritization calls and tradeoffs stay with you. Everything ships as a draft for your review.
How does it learn our product?
You point it at your existing docs, roadmap, and feedback channels. It builds persistent memory of your domain, users, and writing conventions, and gets sharper with every review cycle.
Which tools does it work with?
Notion, Jira, Linear, Google Docs, Google Sheets, Gamma for decks, and Mixpanel for product metrics, among 50+ integrations.
How much does it cost?
Plans start at $50/month. Teams typically weigh it against the hours PMs spend writing and formatting rather than deciding.
Can it handle user feedback at scale?
Yes. It continuously ingests feedback from support, reviews, and sales notes, deduplicates it into themes, and quantifies them so your prioritization starts from evidence.
What an AI Product Manager actually does
An AI Product Manager is an autonomous AI worker that handles the writing and coordination side of product work. It drafts PRDs, writes user stories, keeps the roadmap current, prepares stakeholder meetings, synthesizes user feedback, and produces release notes when you ship.
It works inside Notion, Jira, and Linear, so specs link to real tickets and the roadmap reflects what engineering is actually doing. Competitive analysis and feedback synthesis draw on the web and the channels where your users already talk.
You stay the product leader; the worker does the production. Decisions, tradeoffs, and vision remain yours, while documents, updates, and prioritization inputs arrive prepared.
Explore more AI workers
Roles teams often hire alongside this one.
Ready to scale your product team?
Get started today and hire your first worker.
From $50/month