AI product manager
Describe a rough idea, paste your backlog, or share your metrics and get product work you can act on: a build-ready spec, a prioritized roadmap you can defend, a sprint plan against real capacity, a metrics review with a next move. Zeplik works from the product context you give it, not a generic framework, and it is honest about the line: it drafts the artifacts and the reasoning, and it tells you which assumptions to test with real users and data before you commit.
Who it is for
- Product managers who want a faster first draft of a spec, roadmap, or review
- Founders wearing the PM hat without a dedicated product team
- Engineering leads turning vague asks into clear, testable requirements
- Solo builders deciding what to build next and why
How it works
Share the product context
Drop in the idea, the backlog, the goals, or the metrics. Nothing is assumed. The work is built only from what you share, and the more real context and constraints you give, the more useful and less generic the output.
Ask for the product work you need
Say it plainly, for example "turn this idea into a spec" or "prioritize this backlog." Zeplik routes to the right product skill without you naming it, and you can steer the scope, the framework, and the fidelity.
Review, test, and commit
You get a ready-to-edit spec, roadmap, or review with the reasoning shown. Test the assumptions with real user research and data, then commit the plan and move, all in one conversation.
What you can ask
Real asks in plain language, and the concrete deliverable you get back. Open the assistant to try your own; nothing runs until you send it.
Turn this rough idea into a build-ready spec.
A spec produced through staged gates: a clarifying interview, then a design doc with scope, acceptance criteria, and open questions, so engineering can pick it up without guessing.
Help me prioritize this backlog and defend the roadmap.
A prioritized backlog with an explicit rubric like RICE applied to what you paste, showing why each item sits where it does, so the roadmap is something you can defend in a review.
Plan the next sprint from our goals and capacity.
A sprint plan scoped against real capacity, accounting for time off and meetings, with a clear sprint goal, P0 versus stretch calls, and carryover handled.
Review these product metrics and tell me what to do next.
A metrics review over the numbers you paste: performance against targets, what is driving a spike or drop, and the specific next action it points to.
Is this idea worth building? Give me a pre-build review.
A risk review of demand, positioning, monetization, retention, and distribution before you commit, so you find the fatal flaw before you spend the sprint.
Interrogate this vague feature ask into clear requirements.
Scored clarification rounds that turn a fuzzy request into crisp, testable requirements, so the spec that follows is built on something real.
What it can do
The assistant routes to the right skill for you. Each one below is a focused, ready-to-run workflow; follow a link to see exactly what it does.
Strategy and discovery
Decide what is worth building before you build it.
- Product strategyOKR cascades, product vision, market analysis, and org design.
- Discovery workflowChain validate, brainstorm, spec, requirements, roadmap, and sprint.
- Pre-build reviewA risk review of demand, positioning, monetization, and retention.
- Product brainstormingA thinking partner to explore an opportunity and stress-test an idea.
- 10x opportunitiesStack-ranked bets across massive, medium, and small opportunities.
Specs and requirements
Turn a fuzzy ask into something engineering can build.
- Idea to specStaged gates from a rough idea to a build-ready design doc.
- Requirements clarityInterrogate a vague ask into crisp, testable requirements.
- PM toolkitRICE prioritization, interview analysis, and PRD templates.
- AI featuresIntegration, safety, and cost guidance for a production LLM feature.
Plan and ship
Sequence the work against real capacity and priorities.
- User storiesINVEST user stories, acceptance criteria, and backlog grooming.
- Sprint planningScope a sprint against capacity with a clear goal and P0 calls.
- Roadmap updateCreate or reprioritize a roadmap as priorities and timelines shift.
Measure and iterate
Read the outcome and scope the next rep.
- Metrics reviewInvestigate a spike or drop and turn numbers into an action.
- Post-ship loopWhat shipped, what we learned, and what ships next.
- AI wrapper productArchitecture, cost metering, and differentiation for an AI product.
What a general chatbot gets wrong on product, and what is different here
A raw chatbot will write a confident PRD and a roadmap with no grounding in your users, your data, or your constraints. Zeplik builds from the context you give it, applies real product frameworks, and is honest that the plan is a hypothesis to test, not a guarantee.
The failure. A general model writes a plausible-sounding spec that skips the hard questions and hides the assumptions it is making.
How Zeplik grounds it. Zeplik runs a clarifying interview first and surfaces the open questions and assumptions explicitly, so the spec is built on something real and you can see what still needs an answer.
The failure. Asked to prioritize, a general model ranks features on vibes with no consistent reason one beats another.
How Zeplik grounds it. It applies an explicit rubric like RICE to the items you paste and shows the scoring, so the roadmap is defensible and you can adjust the inputs rather than argue the output.
The failure. A general model treats its roadmap as fact and promises outcomes it cannot know.
How Zeplik grounds it. It frames the plan as a hypothesis, ties it to the metrics that would validate it, and is clear that priorities and estimates need testing with real user research and data before you commit.
What it does not do
Knowing the boundary is part of using it responsibly. This is where a person, not the assistant, has to own the call.
- A plan is a hypothesis, not a promise. Specs, roadmaps, and estimates reflect the context you provide, not your users or market. Test the assumptions before you commit a quarter to them.
- No live analytics or tracker yet. It works from what you paste. It does not pull your product analytics or read your Jira or Linear, so bring the metrics and the backlog you want it to use.
- It cannot talk to your users. Discovery frameworks and interview guides help, but the model is not a substitute for real customer conversations. Ground the strategy in actual research.
- Outcomes are never guaranteed. Good prioritization and clear specs raise your odds, but what ships and what works depend on execution and factors outside the plan.
This is product thinking and draft artifacts for your review, not validated strategy or a guarantee of outcomes. Priorities, specs, and estimates reflect the context you provide, not your users or market, so test the assumptions with real research and data before you commit a roadmap.
Frequently asked questions
- Is the AI product manager free?
- Zeplik is free to start and every new account includes credits. Product skills run like any other Zeplik chat, so you spend only normal usage credits, with the cost shown before you send.
- Can it write a real PRD or spec?
- Yes. It runs a clarifying interview, then produces a build-ready design doc with scope, acceptance criteria, and open questions surfaced, so engineering can pick it up. You review and fill the gaps it flags.
- How does it prioritize a roadmap?
- It applies an explicit rubric like RICE to the backlog you paste and shows the scoring, so the ranking is something you can defend and adjust by changing the inputs, not a black box.
- Can it read my product analytics or Jira?
- Not yet. It works from what you paste and is honest about it. It does not connect to your analytics, Jira, or Linear, so bring the metrics and backlog you want it to use.
- What do I need to give it?
- For a spec, the rough idea and any constraints. For prioritization, the backlog. For a sprint, the goals and team capacity. For a metrics review, paste the numbers and your targets.
- Does it replace user research?
- No. It helps you plan discovery and turn findings into specs and roadmaps, but it cannot talk to your users. Ground the strategy in real customer conversations and data.
More on Zeplik
Turn your idea into a plan
Describe an idea or paste your backlog and get a build-ready spec, a defensible roadmap, or a metrics review you can act on. Free to start, and honest about what to test with real users before you commit.