What Is ChatStack?
ChatStack is an advanced multi-agent AI workflow designed to seamlessly connect your product teams and development teams who are using modern AI coding tools.
The team of agents progressively convert product ideas into a comprehensive Product Requirements Document (PRD) formatted as structured data (JSON). This is done through a series of steps including:
- interviewing to gain clarity;
- writing user stories;
- creating requirements;
- writing specifications;
- and providing a cost estimate.
The final output is a comprehensive Product Requirements Document (PRD), delivered as structured data (JSON) and a PDF.
Because the PRD is structured data, it can be immediately consumed by your preferred AI Coding Tools via our Managed Context Provider (MCP). It is coding platform agnostic - it can be connectedThis gives the AI the full context it needs to create complete, multi-phase development plans—a true superpower for large, complex projects. It also supports version control, so the coding AI can instantly understand and implement future change requests.
What Problem Does ChatStack Solve?
As app developers, we built ChatStack from the ground up to solve two critical problems that we faced that limit the true potential of AI coding tools:
1. Speed or Quality but not both.
AI Vibe Coding platforms that attempt to fast-track the planning process make mistakes because they are non-deterministic, don't have detailed requirements and lack industry experience—such as compliance rules (for example by the App Stores and Regulators). This approach can lock you into a single framework and lead to "spaghetti code"—progressively messier, harder-to-maintain code where token usage and costs increase exponentially with every change.
2. Missing the AI open goal.
The typical Scrum methodology that most development teams use break projects into small chunks (sprints) and detailed planning only happens per sprint (micro-planning). This approach, combined with the separation of the product team from these developer tools (which are still relatively technical to use), blocks teams from seeing their true superpower — multi-phase planning. AI excels at executing a single, comprehensive, carefully-reviewed and task-based plan that it helped create, in collaboration with the product team. This requires a shift from developers vibe-coding features to providing the AI with the structured foundation it needs: comprehensive user stories, requirements, specifications, and standard prompt-based rules covering coding standards, security, privacy and observability.
A New Approach: RADPAC
ChatStack's singular focus on the requirements layer — using AI to refine, structure, and ensure it's readable by other AI tools — builds the missing bridge between product and development. It uses the power of generative AI to understand and document the requirements, whilst limiting the risks created by the multiplying effects of non-determinalism by converting them into structured data based on best practices and industry standards. Because these are AI-readable, the AI can use them to create a complete, multi-phase development plan
And this is how it all works together:
We are pioneering an entirely new service category: Requirements as a Service. We call our approach to product development: Requirements as Data, Plan and Context (RADPAC).
Who Is ChatStack For?
ChatStack is designed for any individual or team looking to launch a new product, whether you are a start-up, a development company, or an enterprise.
It is particularly valuable for:
- Building complex solutions.
- Solving the unique problems of large teams, such as ensuring thorough documentation, signoff, and adherence to strict coding standards.
What Does It Cost?
Currently ChatStack is completely free. We (App Developer Studio) use it as a sales tool to find new clients. Once you've generated your PRD and reviewed the cost estimate, we'll typically set up a call to discuss how you'd like to proceed: we can design and develop the entire project, or we can work with your development team to help them integrate the PRD output with their preferred technology stack.