AI-Powered MVP & React Refactor

I’m growing a suite of small products and prototypes, starting each one in lovable.dev and then hardening the code for production. The very first thing I need is solid AI integration—connecting OpenAI endpoints, shaping prompts, and making sure the responses flow cleanly through a JavaScript stack. Once the AI layer is reliable, we’ll shift our attention to a full React + Tailwind CSS refactor so the interface is maintainable, fast, and easy to extend.

The current toolkit includes lovable.dev, React 18, Tailwind, Node.js, Express, and OpenAI’s latest models, so you should feel comfortable jumping between front-end components, prompt engineering, and server code. We’ll be collaborating fewer than 30 hours each week but for the long haul; I expect this engagement to span many months as each MVP graduates into a production feature.

Deliverables
• Phase 1 – AI Integration: functional endpoints and prompt logic running inside lovable.dev
• Phase 2 – React / Tailwind refactor of the auto-generated front-end components
• Ongoing – clean, scalable Node.js/Express API code, plus documentation and commit-level tests

Acceptance criteria are straightforward: the AI features must run end-to-end in staging without manual intervention, the React refactor must preserve all UI behaviour while improving code readability, and every PR should pass automated linting/tests.

If you thrive on rapid iteration and want to influence both the prototype and the long-term architecture, let’s build together.