Meet your AI
A Product Pod is your governed AI product team inside ProductOS. Coordinated specialists share one product context, so research, spec, design, build, test and ship all read from the same project memory. Humans keep strategy, judgment, approvals and accountability.
What a Product Pod is
A governed operating model, not a headcount.
The Product Pod is ProductOS at work. One human in charge, a ProductOS Agent that plans and routes, specialist agents that do the craft work, and a shared project memory that keeps every stage in the same context. Humans retain strategy, judgment, approvals and accountability. Nothing ships without a human deciding it should.
Human
Product Owner
Sets direction, chooses what the pod picks up, approves each stage and stays accountable for the outcome.
Coordination
ProductOS Agent
Your orchestrator
Plans each stage, maintains the shared product context, routes work to the right specialist and returns stage decisions to the Product Owner for approval.
Specialists
Ship
Deploy Agent
Runs the preflight build, pushes to your GitHub repository and takes the deployment to your hosting and domain.
Product Intelligence
The future closed-loop layer: watching what shipped and returning it to the Product Owner as the next input. Not available today, and not part of what you buy today. Your team runs this step.
What is learned returns to the Product Owner, who decides what the pod picks up next.
Two audiences
The same pod, two different contexts.
Both audiences run the same lifecycle. The entry point and the conversion path are what differ.
For startups and in-house product teams
Add a Product Pod without adding another organizational layer.
One customer signal in. One production-ready iteration out. Your product owner directs the pod, reviews the work and approves what moves. Nothing ships without you.
Sprint request: Contact form with the signal you want to run.
For agencies and product studios
Become an AI-native product agency without building the operating system yourself.
One client brief in. One working product out, in an isolated client workspace. Your senior team keeps the relationship, the judgment and the sign-off on everything.
Sprint request: Contact form with the brief you want to run.
The lifecycle
From signal or brief, through to shipped and learned.
The same loop runs for every engagement, in the same shared context. Stage transitions are proposed for approval; nothing moves forward without a human deciding.
- 01
Signal or brief
One customer signal or client brief enters the pod as the unit of work, with the context your team already has.
- 02
Plan
The ProductOS Agent turns the input into a stage plan and routes each piece to a specialist.
- 03
Research
Evidence, competitors and sources are gathered, logged and attached to the project.
- 04
Spec
Requirements are written section by section against that evidence, not from memory.
- 05
Design
Flows, screens and the design system are drawn from the spec that was just approved.
- 06
Build
Production code is written in the project sandbox, against your stack and conventions.
- 07
Test
QA drives the real browser and the real API, then reports severity-ranked findings.
- 08
Ship
Preflight build, push to your GitHub repository, deploy to your hosting.
- 09
Observe
Your team watches what shipped against the signal that started the iteration.
- 10
Learn
What you learn becomes the next input, and a human decides what the pod picks up next.
Learn becomes the next signal or brief, and the loop runs again. Observe and Learn are run by your team today. The Product Intelligence Agent that would close this loop automatically is on the roadmap.
Decision rights
Who decides, and who does the work.
Agents handle the heavy execution. Experienced humans keep strategy, judgment, review and accountability. Stage transitions are proposed for approval, never taken on their own.
Your people decide
- Strategy, positioning and what the product is for
- Which signal or brief the pod picks up next
- Scope, trade-offs and what is deliberately not built
- Brand, taste and the calls that need judgment
- Whether a stage moves forward, and what merges
- Customer, client and stakeholder relationships
- Accountability for the outcome
ProductOS executes
- Research sweeps, source logging and competitor scans
- Drafting the spec section by section from that evidence
- Design system, flows and screens from the approved spec
- Production code written in the project sandbox
- QA passes across the browser, the API and accessibility
- Preflight build, GitHub push and deployment runs
- Keeping one project memory current across every stage
Where to go next
Everything in one place.
The Product Pod sits inside the full ProductOS platform.
Put the Product Pod to Work.
Two pages, two audiences. Pick the one that describes you and follow it to the sprint form that is built for your context.
The sprint request goes to our contact form. Tell us the signal or brief you want to act on and we scope the pod with you.