Form Flow is a B2B SaaS for enterprise and financial teams where AI handles the full form logic. I built the AI layer that turns plain English into working software behavior.

The rule engine sends an admin's plain-English input to the OpenAI API, which generates executable JavaScript handlers from the description. Those handlers run inside a vm2 sandbox on Node.js, so AI-generated code executes without touching the rest of the app. It works like a locked box: code runs inside, nothing escapes. Rules chain in order and trigger status changes, alerts, and display actions. Getting output consistent enough to run in production without malformed handlers took real iteration, the careful side of AI integration.

A RAG layer reads the surrounding form structure and the exact field a user is on, then sends a prompt scoped to that field, so the AI assistant returns an answer that fits the question instead of something generic. On financial intake forms, this cut abandonment with no human agent involved.

Branding automation pulls colors, logos, and typography from any URL for white-label deployment. Identity verification runs through IDmission with live face matching for compliance.

What the client gets: non-technical admins define complex form logic in plain English, an AI assistant guides users field by field, and AI-generated code runs safely inside a sandbox.

Perfect

Nodebase is a workflow automation SaaS where users build AI workflows visually with no code, backed by a custom execution engine. I built the full product end to end, alone.

The visual builder runs on React Flow inside Next.js 15. Users connect trigger nodes, AI nodes, API nodes, and conditional logic into full pipelines. The backend engine uses topological sort to resolve node dependencies before running each step, so nothing fires out of order. Inngest handles background jobs, retries, and scheduled triggers. Webhooks let outside services start a workflow by hitting an endpoint.

This is AI automation in practice. OpenAI, Claude, and Gemini run as built-in AI nodes next to Slack, Discord, and Stripe. A user can route data through an LLM, act on the result, and pass it to the next step, all without code. Credentials are encrypted and pulled at runtime, so keys never sit in plain text.

Prisma with Neon PostgreSQL handles workflow ownership, execution history, and job logs. tRPC connects frontend and backend with full type safety.

What the client gets: a no-code platform where non-technical staff build their own AI workflows, on an engine reliable enough to run them on a schedule without supervision.

Perfect