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Sales / Internal Tools

We Didn't Just Plan It. We Built It.

Project
Lead CRM
Generated By
OmniRoles Planner
Built By
OmniRoles Multi-Agents
Result
21 commits. 60 files.

Why This Case Study Is Different

The other case studies show what OmniRoles generates. This one shows what OmniRoles delivers.

Lead CRM went through the complete pipeline:

1. Paragraph
Planning
2. Specs
Development
3. Code
Testing
4. Tests
Deployment

This isn't a hypothetical. This is a real tool that BrandXpoint uses every day to manage its sales pipeline.

The Input

"Internal CRM for BrandXpoint to manage B2B leads, track outreach pipeline stages, log interactions, and score leads. Two user roles: admin and sales rep. Features: lead CRUD with company info, contact details, and notes; Kanban pipeline view with stages (new, contacted, qualified, proposal, negotiation, won, lost); interaction logging (email, call, meeting) with timestamps; lead scoring based on company size, website quality, and engagement; search and filter by stage, score, date, and tags; dashboard with pipeline stats and conversion rates. Tech stack: Next.js frontend with TypeScript, PostgreSQL database, REST API with JWT auth, Tailwind CSS."

What OmniRoles Generated (Planning Phase)

6

Enterprise Docs

38

User Stories

89

API Contracts

What OmniRoles Built (Development Phase)

This is where it gets real. The planning specs were fed into OmniRoles' multi-agent pipeline:

4 specialized agents worked in parallel:

AgentRoleOutput
Database DevSchema + RLS12 tables, indexes, seed data
Backend DevAPI + Auth89 endpoints, JWT auth, rate limiting
Frontend DevUI + UXKanban board, forms, dashboard
API Contract DevIntegrationTyped API client, Zod validation

The Result: Real Code

Lead CRM/
├── src/
│   ├── app/
│   │   ├── dashboard/       # Pipeline stats, conversion charts
│   │   ├── leads/           # CRUD, Kanban view, search
│   │   ├── interactions/    # Email/call/meeting logging
│   │   └── auth/            # Login, register, JWT
│   ├── components/
│   │   ├── kanban/          # Drag-and-drop pipeline board
│   │   ├── charts/          # Conversion funnel, pipeline stats
│   │   ├── forms/           # Lead creation, interaction logging
│   │   └── ui/              # shadcn/ui components
│   ├── lib/
│   │   ├── api/             # Typed API client with Zod
│   │   ├── auth/            # JWT utilities, middleware
│   │   └── db/              # Database queries, migrations
│   └── types/               # TypeScript definitions
├── tests/                   # Full test suite
├── prisma/                  # Database schema + migrations
└── package.json

60 files. 21 commits. Fully tested.

Lead Scoring Algorithm

One of the most complex features — OmniRoles generated the complete scoring logic:

Company Size (0-30 pts)

  • Enterprise (1000+): 30
  • Mid-market (100-999): 20
  • SMB (10-99): 10
  • Startup (<10): 5

Website Quality (0-30 pts)

  • SSL + modern + responsive: 30
  • SSL + basic site: 20
  • Outdated but functional: 10
  • No website or broken: 0

Engagement (0-40 pts)

  • Replied to outreach: 15
  • Opened email 3+ times: 10
  • Clicked link in email: 10
  • Meeting scheduled: 5 (bonus)
Total: 0-100. Leads scored automatically on creation and updated as engagement changes.

The Honest Truth

Not every generated line of code was perfect. Some components needed tweaking. Some API contracts needed adjusting for edge cases. The database migrations needed a manual review.

But here's the thing: the hard part was already done. The architecture decisions, the data model, the API contracts, the component structure, the business logic — all of that was generated. What took the most time in traditional development (thinking and planning) was now free. The remaining work (implementation tweaks) was mechanical.

80%
Time Saved
(Planning)
20%
Remaining
(Polish)

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OpenAI GPT-4o
Anthropic Claude
Google Gemini
LangChain
FastAPI
WebSockets
PostgreSQL
Redis
Next.js
Docker
Jira API
Linear API
OpenAI GPT-4o
Anthropic Claude
Google Gemini
LangChain
FastAPI
WebSockets
PostgreSQL
Redis
Next.js
Docker
Jira API
Linear API
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