Introducing Greta's AI Sprint Planner: From Idea to Roadmap in Minutes

One of the most common conversations we have with founders goes like this: they have a clear vision for their product, they know what problem it solves, and they're ready to build. Then we ask them to walk us through their roadmap — and the conversation slows down considerably.

Not because they don't know their product. Because translating a product vision into a structured development plan is genuinely hard, and it's a skill most founders haven't had to develop before.

That gap — between "here's what I want to build" and "here's what we're building this sprint" — is where weeks disappear. It's where scope creep starts. It's where the estimate of "two weeks" quietly becomes two months.

We're building a tool to close that gap.

What the AI Sprint Planner Does

The Greta AI Sprint Planner takes a plain-language description of your product idea and produces a structured, prioritized development roadmap. You describe what you're building. It tells you — in concrete, actionable terms — how to build it.

Specifically, it outputs:

• —A breakdown of your product into distinct feature areas
• —A prioritized list of tasks within each feature area, ordered by dependency and business value
• —Effort estimates for each task, calibrated to a small engineering team using modern AI-assisted workflows
• —Technology stack recommendations based on your use case, team size, and timeline
• —A sprint-by-sprint schedule that sequences work to deliver a testable product as early as possible

It's not a project management tool. It doesn't replace Linear or Jira. It's the step that happens before you open those tools — the step that most teams currently handle with a two-hour planning meeting that ends in broad agreement and fuzzy scope.

Why We Built This

We've shipped over 40 MVPs at Greta Agency. Every single one started with the same planning process — a founder with an idea, an engineering team that needed to break it down, and a gap in the middle that ate time.

Over time, we developed an internal approach to bridging that gap quickly. We'd ask a specific set of questions about the product, map the answers to a feature taxonomy we'd developed from previous projects, and use that to generate a first-pass roadmap that we'd then refine with the client.

The AI Sprint Planner is that internal process, systematized and made available as a standalone tool. We've been using an early version of it on our own projects for the past two months, and it has meaningfully cut our planning time — without cutting the quality of the output.

How It Works

The workflow is intentionally simple.

Step 1: Describe your product. You fill out a short form — a few paragraphs describing what your product does, who it's for, and what "done" looks like for your initial launch. No technical background required. You're describing a product, not an architecture.

Step 2: The AI structures your idea. The planner analyzes your description and identifies the core feature areas, infers dependencies between them, and flags any ambiguities that would typically stall a planning meeting. If your description is missing something critical — a user authentication model, a data persistence strategy, a third-party integration assumption — it surfaces that as a question rather than guessing.

Step 3: Review and refine. The output is a structured roadmap that you can edit directly. You can reprioritize tasks, adjust effort estimates, add features the AI missed, or collapse feature areas that are out of scope for your launch. The tool holds the structure; you hold the product judgment.

Step 4: Export to your workflow. When the roadmap looks right, you can export it as a formatted document, a CSV for import into your project management tool, or — for teams using our development services — hand it directly to a Greta engineering team as the starting point for a build engagement.

What It Doesn't Do

It's worth being explicit about the limits.

The AI Sprint Planner does not replace product strategy. It can organize and sequence your ideas; it cannot evaluate whether your ideas are good. A well-structured roadmap for the wrong product is still the wrong product.

It does not produce final effort estimates. The estimates it generates are calibrated to our workflows and our team's velocity with AI-assisted development. Your team's velocity may differ, especially if you're not using a vibe coding workflow. Treat the estimates as a starting point for conversation, not a commitment.

It does not account for context the AI doesn't have. If there's a constraint specific to your business — a regulatory requirement, a hard dependency on a third-party API that has known limitations, a team member who is the only person who can touch a specific system — that context needs to come from you. The tool works with what you give it.

The Underlying Design Principle

We built this tool around a conviction we've developed from shipping a lot of products: the quality of a build is largely determined in the first few hours of planning.

Vague scope, unresolved dependencies, underestimated complexity — these problems are cheap to fix during planning and expensive to fix during build. A team that starts a sprint with a clear, well-sequenced task list ships faster and with fewer surprises than a team that figures out scope as they go.

The AI Sprint Planner is designed to front-load the clarity. Get the hard thinking done before anyone writes a line of code, so the build phase is execution rather than improvisation.

When It's Available

The AI Sprint Planner is currently in internal testing. We're using it on active client projects and iterating on the output quality based on real results.

We're planning a limited beta with a small group of early users in the coming weeks. If you're working on a product and want early access, you can join the waitlist on our website.

We'll share more about the tool — including example inputs and outputs — as we get closer to the beta launch.

FAQ

Is this only useful for technical founders?

No. The input is a plain-language product description — no technical knowledge required. The output is a structured roadmap that a non-technical founder can review and hand to an engineering team. You don't need to understand the technical details to evaluate whether the prioritization and scope look right for your business goals.

How accurate are the effort estimates?

The estimates are calibrated to small teams (2–4 engineers) using AI-assisted development workflows — the same approach we use at Greta Agency. If your team is larger, or not using AI-assisted tooling, or working in a technology stack with less AI coverage, your estimates will likely differ. We're transparent about this in the tool output and recommend treating estimates as a starting framework rather than a final commitment.

Will it work for products outside of software?

The current version is built specifically for software products — web apps, mobile apps, APIs, and internal tools. We're focused on getting the software use case right before expanding scope.

Can I use it for an existing product, not just a greenfield build?

Yes, with some caveats. The tool works best when you're defining scope for a new product or a significant new feature set. For ongoing maintenance and iteration on an existing codebase, it's less useful — the planning dynamics are different when you have existing architecture constraints and technical debt to navigate. We're thinking about how to handle that use case in a future version.

How is this different from just asking Claude or ChatGPT to make a roadmap?

A general-purpose AI can produce a roadmap-shaped document from a prompt. The difference is in the structure, calibration, and workflow integration. The Sprint Planner uses a specific planning methodology developed from our experience shipping 40+ products, applies effort estimates calibrated to real project data, and produces output in a format designed to flow directly into a development workflow — not just a document that looks like a plan.