How to Create the Perfect Context Cleaner for an AI Agent Using BlueprintAI

What is a Context Cleaner?

A Context Cleaner is BlueprintAI's most powerful feature. It takes everything you've planned about your project — user flows, personas, tech decisions, architecture — and compiles it into a single, structured prompt that any AI coding agent can understand and act on.

Think of it as the bridge between your vision and the AI's output. Instead of writing ad-hoc prompts and hoping for the best, you give the AI a complete blueprint of what you're building.

Why You Need One

Every AI coding agent — Cursor, Claude Code, GitHub Copilot, Replit, Windsurf, Bolt — produces better output when it has more context. The difference between a vague prompt and a structured one is the difference between:

• Code that doesn't fit your project vs. code that slots right in
• Generic boilerplate vs. implementation that matches your architecture
• Hours of back-and-forth vs. getting it right the first time

The Context Cleaner solves the "blank prompt" problem. You never have to figure out what to tell the AI — BlueprintAI structures it for you.

Step-by-Step: Building Your Perfect Context Cleaner

Step 1: Create Your Project in BlueprintAI

Sign up at blueprintai.dev and create a new project. Give it a clear name and description.

Why this matters: The project name and description become the foundation of your context. AI agents use this to understand the high-level purpose of what you're building.

Tips:

• Use a descriptive name: "TaskFlow — Project Management for Freelancers" not just "My App"


• Write 2-3 sentences for the description covering: who it's for, what it does, and what makes it different

Step 2: Map Your User Flows on the Canvas

Open the Canvas and start mapping out your application's user journey. BlueprintAI gives you two node types:

• User Stories — What the user wants to do (e.g., "As a freelancer, I want to track billable hours")
• Screens — What the user sees (e.g., "Dashboard", "Invoice Editor", "Client List")

Connect them with edges to show the flow: User lands on Homepage > Signs up > Sees Dashboard > Creates first project.

Why this matters: The Canvas data is the core of your Context Cleaner output. AI agents use this to understand the full scope of what they're building — not just one feature in isolation.

Tips:

• Start with the happy path first (registration > core feature > success)


• Add error states and edge cases (what happens when payment fails? when the session expires?)


• Use the AI-powered "Generate User Flow" button to let AI help you map out flows from a description


• Include 8-15 nodes for a thorough flow — more detail means better AI output

Step 3: Generate Your Engineering Spec (Pro)

Click the "Generate Spec" button to have AI create a complete engineering specification from your canvas. This includes:

• Executive summary
• Detailed user flows (step-by-step)
• Frontend specification (routes, components, state)
• Data models (actual Prisma schema)
• API endpoints (methods, request/response types, auth)
• Edge cases and error handling

Why this matters: The spec turns visual flows into actionable technical details. When this is included in your Context Cleaner output, AI agents can write implementation-ready code — not just scaffolding.

Tips:

• Review the generated spec and edit anything that doesn't match your vision


• The more detailed your canvas, the better the spec


• Save iterations — you can regenerate as your project evolves

Step 4: Define Your User Personas (Pro)

Add user personas to help the AI understand who you're building for. For each persona, define:

• Name and role
• Goals and pain points
• Tech comfort level
• Key use cases

Why this matters: Personas inform UX decisions. When the AI knows you're building for "Sarah, a non-technical freelance designer who needs simple invoicing," it writes different code than for "David, a senior developer who wants API access and CLI tools."

Step 5: Set Your KPIs and OKRs (Pro)

Define what success looks like for your project:

• KPIs — Key metrics (e.g., "Time to first invoice < 5 minutes", "Monthly active users")
• OKRs — Objectives and key results (e.g., "Launch MVP with 3 core features by March")

Why this matters: KPIs give the AI context about priorities. If your KPI is "page load < 2 seconds," the AI will make different architectural decisions than if your KPI is "support 10,000 concurrent users."

Step 6: Add Competitor Analysis (Pro)

Document 2-3 competitors and what they do well/poorly. The Context Cleaner includes this so the AI understands the competitive landscape and can suggest differentiating features.

Step 7: Generate Your Strategy Document (Pro)

The strategy doc pulls everything together — product positioning, target audience, go-to-market approach. This gives AI agents the "why" behind your product, not just the "what."

Step 8: Export with Context Cleaner

This is the magic moment. Navigate to the Context Cleaner panel and click Copy Context.

BlueprintAI compiles all your project data into a single, structured prompt:

PROJECT: TaskFlow — Project Management for Freelancers
DESCRIPTION: A lightweight project management tool designed for freelancers...
TECH STACK: Next.js 14, TypeScript, Prisma, PostgreSQL, Tailwind CSS
USER FLOWS:
Registration Flow: User visits homepage → Signs up → Email verification → Dashboard

Project Creation: Dashboard → New Project → Set client, budget, deadline → Project view

...

ENGINEERING SPEC:
Data Models

model Project {
  id        String @id @default(cuid())
  name      String
  clientId  String
  ...
}
...

PERSONAS:
Sarah (Freelance Designer): Non-technical, needs simple invoicing...


KPIS:
Time to first invoice: < 5 minutes

Monthly active users: 100 in first month

...

This single output is everything an AI agent needs to build your project.

How to Use Your Context Cleaner Output

With Cursor

1. Open Cursor and start a new Composer session
2. Paste the Context Cleaner output as the first message
3. Follow up with specific feature requests: "Now build the project creation flow based on the spec above"

With Claude (Code or Chat)

1. Start a new conversation with Claude
2. Paste the full context as your first message
3. Ask Claude to implement features one at a time, referencing the spec

With GitHub Copilot

1. Open Copilot Chat in VS Code
2. Paste the context and ask for specific implementations
3. Use Copilot's inline suggestions with the context in mind

With Replit, Windsurf, or Bolt

1. Start a new project or agent session
2. Provide the Context Cleaner output as the project brief
3. Let the agent scaffold and build based on the structured prompt

Pro Tips for the Best Results

1. Update your context as you build — As you complete features, regenerate the Context Cleaner to reflect current state
2. Be specific about what's done vs. what's next — Tell the AI "Auth is already implemented. Now build the dashboard."
3. Include file structure — If you've started coding, mention key file paths so the AI writes code that fits
4. One feature at a time — Don't ask the AI to build everything at once. Use the context for grounding, then request specific features
5. Review and iterate — AI output is a starting point. Review, test, and refine

Free vs. Pro: What's Included

| Feature | Free | Pro |
|---|---|---|
| Canvas (user flows) | 1 project | Unlimited |
| AI User Flow Generation | 5/month | 100/month |
| Engineering Spec | - | Included |
| Personas | - | Included |
| KPIs & OKRs | - | Included |
| Competitor Analysis | - | Included |
| Strategy Doc | - | Included |
| Context Cleaner | Basic | Full (all sections) |

Free users get a basic Context Cleaner with canvas data. Pro users get the full output with every section — spec, personas, KPIs, competitors, and strategy.

The Bottom Line

The best AI-assisted developers in 2026 aren't writing better code — they're writing better prompts. And the best prompts come from structured planning, not improvisation.

BlueprintAI's Context Cleaner turns your project plan into the perfect prompt. Plan once, prompt perfectly, build faster.

Start building your first blueprint for free