How to Use AI-Generated PRDs with Cursor, Claude Code, and Windsurf

What AI coding tools actually need

Cursor, Claude Code, ChatGPT, and Windsurf don't need a business case. They don't need a stakeholder analysis. They need structured context that tells them three things: what to build, in what order, and how to know when it's done.

A well-structured AI-generated PRD provides exactly that. The sections that matter most for AI coding tools are:

• Build order — tells the AI which component or feature to scaffold first, preventing it from starting at the wrong layer
• File structure — tells it what files to create and where, matching your actual tech stack conventions
• Acceptance criteria — per-feature conditions that tell the AI (and you) when a feature is actually done
• Out-of-scope items — explicit list of what NOT to build, which prevents the AI from adding things you didn't ask for

Without a structured PRD, you're relying on the AI to infer all of this from a vague description. It will usually infer wrong and ask a dozen clarifying questions before writing a line of code.

Why 1200 words is the right target

Context windows are finite. Every word of your PRD competes with your actual codebase for space in the model's working memory. A 4,000-word PRD that includes every edge case and stakeholder concern will crowd out the code context the AI needs to do its job.

A 1,200-word PRD fits in under 2,000 tokens — leaving the vast majority of the context window for your existing files, error messages, and real-time code state. This isn't a limitation; it's a design decision. The best context for an AI coding tool is dense, structured, and small.

Specd enforces this at the generation level. The output schema rejects PRDs over 1,200 words before you ever see them.

The Cursor workflow

Cursor works best with context set at the project level. Here's the fastest way to use a Specd PRD with Cursor:

1. Generate your PRD in Specd and download the Markdown export.
2. Rename it to SPEC.md and place it in the root of your project.
3. In Cursor, open the chat and reference the file: @SPEC.md
4. Start with the first item in the build order: "Implement step 1 from SPEC.md."
5. After each step, ask Cursor to check against the acceptance criteria in the spec before moving to the next.

The build order in a Specd PRD is sequenced to minimize dependency conflicts — it always starts with data models and auth before moving to UI. This matches the order Cursor works best in.

The Claude Code workflow

Claude Code works well with a PRD as an initial system-level instruction. The recommended approach:

1. Copy the Specd PRD to clipboard (use the copy button in the export panel).
2. In Claude Code, start a new session and paste the PRD as the first message: "Here is the spec for what I'm building. Follow this spec exactly. Start with the build order."
3. Claude Code will read the file structure section and create files accordingly.
4. The acceptance criteria per feature act as natural stopping points — ask Claude Code to verify against them before marking a feature done.

The out-of-scope section is especially useful with Claude Code. Paste it explicitly: "Do not build any of the following: [out-of-scope list]." This prevents Claude from adding admin dashboards, analytics, or other extras that aren't in v1.

Windsurf, Copilot, and everything else

The same pattern works with any AI coding tool that accepts text input. Windsurf supports project-level context through its memories feature — add the PRD there. GitHub Copilot Chat can reference files directly; drop SPEC.md in your workspace and use #SPEC.md in prompts.

The key is structure. A Specd PRD isn't written for humans to read in a meeting — it's written for an AI to parse and execute. Every section is ordered, labeled, and bounded so any tool can consume it cleanly.