LaunchChair

LaunchChair is a “product-team layer” for AI coding agents. You describe what you want to build, and LaunchChair guides the agent through research, product decisions, building, QA checkpoints, and MVP launch planning—keeping your choices attached to every step.

Instead of relying on generic prompts, LaunchChair turns early intent into a living spec. It helps you map the market (ICP pain, substitutes, and wedge evidence), compile an evolving spec (including screens, flows, entities, feature choices, and acceptance criteria), and then run an execution loop that reads saved project state, queues the next action, validates structured outputs, and triggers retries or remediation when checks fail. Human checkpoints can pause the loop for manual review.

LaunchChair is designed for founders, solo builders, teams, agencies, and other builders who want to validate and scope products faster—especially when using agents like Codex or Claude. It also supports a “Feature” workflow for shipping the next feature inside an existing product, focused on validating opportunity and generating a PRD and build board without forcing a new stack.

Pricing starts free during validation (no credit card required). After that, plans include Founder ($19/mo) for 1 team seat, Builder ($39/mo) for 3 seats, and Agency ($99/mo) for 10 seats; all plans include unlimited product and feature projects, infinite project resets, and the full-workflow Agent API & MCP plus the LaunchChair boilerplate.

What does LaunchChair do for an AI coding agent?

LaunchChair guides your agent through market validation, spec compilation, build-and-verify execution, and MVP launch planning, while keeping your product decisions attached to each task.

Is LaunchChair only for new products?

No. It also includes a Feature track to validate demand and generate a focused PRD and build board for the next feature inside an existing product.

What is a “living spec” in LaunchChair?

It’s an evolving project blueprint that consolidates decisions like positioning, pricing, scope, screens/flows, and acceptance criteria, then feeds those same constraints into later prompts and build steps.

How does the execution loop work?

The loop reads project state, runs the next agent action, accepts structured output, applies it, validates results, and retries or remediates when checks fail—pausing for human checkpoints when needed.

Which agents can I use with LaunchChair?

LaunchChair supports connecting Codex or Claude, with an Agent API and MCP bridge for agent execution through a protected bridge, so your workflow can stay aligned across agent runs.

Does LaunchChair have token-based charges?

Plans are presented as monthly pricing and LaunchChair explicitly highlights “no hidden LaunchChair token fees,” and it also offers a free start through validation with no credit card required.