BrainGrid

BrainGrid is a plan-first AI app-building platform that turns a product idea into a structured specification before generating software. It can build in BrainGrid Cloud or send the plan to coding agents such as Cursor, Claude Code, or Codex in the user's own repository.

What it does

BrainGrid starts with a rough description and uses a Planning Agent to ask clarifying questions, define scope, document a data model, write functional requirements, create acceptance criteria, and assign a readiness score. Users can review and approve the resulting requirement before development begins.

After approval, the Builder Agent can work in a cloud sandbox using Claude Code, with a live preview and a ready-to-ship change. Alternatively, the specification can be delivered through MCP or CLI to Cursor, Claude Code, or Codex in the user's own environment. The documentation describes a workflow that can create a GitHub branch, break a requirement into coding tasks, update task status, and commit changes to the repository.

BrainGrid also includes a verification stage. Acceptance criteria are checked and accompanied by evidence such as test runs, screenshots, or working-flow recordings. For projects built and hosted in BrainGrid Cloud, the platform says it handles hosting, sign-in, data, email, and a public product URL.

Notable capabilities

• AI-assisted requirements refinement with clarifying questions and structured technical specifications.
• Acceptance criteria, data-model details, API contracts, files, and environment variables within a requirement.
• Cloud-based building with live previews, or development through MCP and CLI integrations in a user's own repository.
• Verification records that attach evidence to completed acceptance criteria.
• Support for SaaS products, internal tools, AI-powered apps, marketing sites, repository features, and rescuing existing vibe-coded applications.

Who it helps

BrainGrid is aimed at solo builders, teams, and developers who want more structure around AI-assisted application development. Developers can keep their own repository and coding environment, while teams on higher plans can collaborate on plans and specifications.

How it fits a workflow

The core loop is plan, build, verify, and repeat. This makes BrainGrid a planning and quality-control layer around AI coding rather than only a prompt-to-code interface. For users who already manage several agent sessions, Nimbalyst provides a separate visual workspace for coding agents, project files, task tracking, and Git workflows; BrainGrid instead focuses on producing the specification and evidence that guide the build.

Strengths and limits

BrainGrid's documented strengths are its structured requirements process, explicit sign-off step, acceptance-criteria-based verification, and choice between managed cloud building and work in a user's own repository. The website lists paid per-seat plans, with annual pricing starting at $290 per year for Builder, and states that there is no free trial. The amount of included usage, project limits, collaboration features, and support vary by plan; users should also assess whether the MCP or CLI workflow fits their existing development setup.