llms.txt Content
# BrainGrid
> BrainGrid is the AI Product Planner that helps builders turn rough ideas into engineering-grade tasks their AI coding tools can build right the first time. Plan, build, verify, repeat.
BrainGrid works with any tool that supports MCP (Model Context Protocol) — including Claude Code, Cursor, Windsurf, OpenAI Codex, Google Gemini, and Lovable. This file curates the site's key content for LLMs and agents. Most content pages also expose raw markdown at the same URL with a `.md` suffix.
## Core Pages
- [Home](https://www.braingrid.ai/index.md): BrainGrid overview — plan, build, verify, repeat.
- [Agentic Engineering](https://www.braingrid.ai/agentic-engineering.md): The workflow that makes AI coding work — The BrainGrid Loop: Frame, Spec, Scope, Load, Verify.
- [Spec-Driven Development](https://www.braingrid.ai/spec-driven-development.md): Plan once, build right — write the spec first, let your coding agent build against it.
- [AI PRD Generator](https://www.braingrid.ai/ai-prd-generator.md): From rough idea to build-ready requirements with acceptance criteria and tasks.
- [Vibe Coding Tools](https://www.braingrid.ai/vibe-coding-tools.md): Honest guide to Lovable, Bolt, Replit, v0, Base44, Cursor, and Claude Code.
- [AI Coding Agents](https://www.braingrid.ai/ai-coding-agents.md): How coding agents work and how BrainGrid loads every one of them.
- [The BrainGrid Loop](https://www.braingrid.ai/loop.md): The named method — Frame, Spec, Scope, Load, Verify.
- [Context Engineering](https://www.braingrid.ai/context-engineering.md): Feed your agent facts, not guesses — a spec is engineered context.
- [AI for Product Managers](https://www.braingrid.ai/ai-for-product-managers.md): Turn roadmap items into requirements, then into pull requests.
- [BrainGrid vs Spec Kit](https://www.braingrid.ai/braingrid-vs-spec-kit.md): Honest comparison of two takes on spec-driven development.
- [Pricing](https://www.braingrid.ai/pricing.md): Plans for solo builders a