Case Studies/Blueprint CRM
Internal Tool \u00b7 AI-Powered \u00b7 Built with Claude Code

A Full CRM Built in Under 2 Hours with AI

How we used Claude Code to build a production-ready CRM with 60 files, 30 API routes, AI features, and OpenClaw integration \u2014 in a single session.

Next.js 14SupabaseClaude AIResendNetlifyTypeScriptTailwind@hello-pangea/dnd

60

Source Files

30

API Routes

~2

Hours to Build

0

TypeScript Errors

01

The Challenge

Blueprint needed a CRM to manage consulting leads, track pipeline stages, and automate follow-ups. Off-the-shelf tools like HubSpot were overkill for our needs and didn't integrate with our AI-first workflow.

We wanted something lightweight, fully customizable, and deeply connected to the tools we already use \u2014 Claude for AI, Supabase for data, and OpenClaw for messaging. Instead of adapting our process to fit a bloated SaaS product, we decided to build exactly what we needed.

02

What We Built

The Blueprint CRM is a full-featured customer relationship management system tailored to our consulting workflow. Every feature was purpose-built for how we actually operate.

  • Lead management with full CRUD, search, filters, bulk actions, and CSV export
  • Kanban pipeline with drag-and-drop across 7 stages
  • AI lead scoring via Claude Sonnet API (0–100 scale)
  • AI-powered email drafting with context-aware templates
  • Activity timeline tracking every interaction per lead
  • Task manager with due dates, assignment, and status tracking
  • Analytics dashboard with 8 Recharts visualizations
  • Email composer powered by Resend for transactional email
  • OpenClaw API layer with 9 REST endpoints
  • Assessment webhook for automatic lead creation
  • API key management with scoped permissions
03

The Stack

Every technology was chosen for speed, reliability, and developer experience. Here's the full stack and why each piece earned its place.

Next.js 14 (App Router)

Server components, API routes, and file-based routing gave us maximum velocity with zero config overhead.

Supabase

Postgres database, auth, row-level security, and real-time subscriptions — the entire backend in one platform.

Claude AI (Sonnet)

Powers the lead scoring engine and email drafting. Fast, accurate, and easy to integrate via the API.

Resend

Modern transactional email with a developer-first API. Reliable delivery and simple integration.

Netlify

One-click deploys from Git with serverless functions, edge CDN, and zero-downtime rollbacks.

TypeScript

End-to-end type safety across the full stack. Caught errors at build time, not in production.

Tailwind CSS

Rapid UI development with utility classes. Consistent design system without writing custom CSS.

@hello-pangea/dnd

Accessible drag-and-drop library for the Kanban board. Smooth interactions with keyboard support.

04

The Process

The entire CRM was built using prompt-driven development with Claude Code. No boilerplate generators, no templates \u2014 just conversational prompts describing what we needed and Claude writing production-quality code in response.

The first pass produced 46 files covering the core data model, API routes, and UI components. A second refinement pass expanded that to 60 files, adding the analytics dashboard, OpenClaw integration, and polish across the board.

Total time from first prompt to working deployment: under 2 hours.

05

The OpenClaw Integration

OpenClaw is an open-source personal AI agent that connects to messaging platforms like WhatsApp and Telegram. We built a REST API layer inside the CRM so OpenClaw can query leads, update statuses, and trigger follow-ups through natural language.

The integration exposes 9 endpoints that let the AI agent search leads by name or company, retrieve pipeline stage summaries, create tasks, and log activity \u2014 all from a chat interface.

For example, a message like “What's the status of Acme Corp?” in WhatsApp triggers an OpenClaw query to the CRM API, which returns the lead's current stage, score, and most recent activity.

06

Assessment Auto-Integration

When a prospect completes the Blueprint AI Readiness Assessment, a Zapier webhook fires and sends the results directly into the CRM. The system automatically creates a new lead, runs AI scoring, sets up a follow-up task, and notifies Jordan \u2014 no manual data entry required.

Assessment Submitted
Zapier Webhook
CRM API
Lead Created
AI Scored
Follow-up Task Created
Jordan Notified

This end-to-end automation means every qualified prospect enters the pipeline within seconds of finishing their assessment, with an AI score and a task already waiting.

07

Results & Key Takeaways

This project is a concrete demonstration of Blueprint's core value proposition: AI-powered development dramatically compresses timelines and costs without sacrificing quality.

A traditional agency would quote $15,000\u2013$40,000 for a custom CRM of this scope, with a 6\u20138 week delivery timeline. We built it in an afternoon.

The CRM ships with zero TypeScript errors, a clean architecture, and full integration with our AI stack. It's not a prototype or a demo \u2014 it's the tool we use every day to run the business.

Want us to build something like this for your business?

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