AI Engineer, Ops Platform Contract build, from empty repository to production.

Hi there, You're not building a CRM or an ops dashboard. You're building the infrastructure that keeps several businesses from flying apart. That's a very different problem, and it's why you need someone who thinks like an engineer, not someone who wraps API calls in Django routes and calls it AI. I read your post carefully. The scope is clear: opportunities tracked, work managed, money accounted for, people compensated and evaluated. All in one place, clean data flow, built for internal operations, not vanity features. The hard part isn't the CRUD or the React forms. It's the AI-driven modules that need to actually understand context, route intelligently, surface the right insight at the right moment, and improve over time without becoming a maintenance nightmare. I've built systems like this before, though not at this exact shape. What matters is that I know how to start from an empty repo, define the data model that won't break when you scale, set up the backend with clean separation between business logic and AI decision layers, and ship something that works in production without constant babysitting. Here's what I'd do: 1. Start with architecture definition. Map your current workflow across all businesses. Identify where decisions happen, where bottlenecks form, where context gets lost. Define the data model, API structure, and which modules genuinely benefit from ML versus which just need solid automation. 2. Build the backend foundation first. Likely FastAPI for speed and async support, clean schema design, proper auth and role management since this is multi-business. Set up staging and production environments early so deployments don't become a crisis later. 3. Implement the AI modules as isolated, testable services. Natural language processing for opportunity intake, intelligent routing based on workload and skillset, anomaly detection in financials, performance review synthesis. Each module gets its own clear input-output contract so they can evolve independently. 4. Frontend in React, built mobile-first because internal tools get used on phones more than anyone admits. Clean UI, fast load times, designed around the actual tasks people need to complete, not around looking impressive. 5. Payment integration, reporting dashboards, and audit trails built properly from the start. Money systems can't be retrofitted. I've done contract work building custom platforms from scratch. Two examples: custom post programming and dynamic content systems for a law firm that needed structured data flow across multiple content types, and a marketplace MVP on WooCommerce for Pink Robin that required payment gateway integration and custom user flows. Different domains, but the principle is the same: start clean, build systematically, own it end to end. This is a $35k project. I can work milestone-based: architecture and data model definition, backend foundation and first AI module, remaining AI modules and frontend build, payment and reporting integration, testing and production deployment. Each milestone delivers working code you can review and test. What's your current timeline, and which part of the workflow causes the most daily friction right now? Trust, Tai