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On-device AI app w/ subscriptions — SwiftUI · Apple Foundation Models · StoreKit 2
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Introducing Dolern - a premium, next-gen AI language learning app experience we recently designed. Tap the link in our bio/profile to see how we tackle high drop off rates through intuitive voice interaction tools. Drop a like if you enjoy the design! ❤️
Tell us your thoughts in the comments! 👀✨
📩 Collaborate with Us? Contra Odama Studio
Excellent design.
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
Meet AI is a video conferencing SaaS where AI agents join live meetings as active participants and respond in real time. I built the full application stack.
The hard part is the real-time layer. The backend provisions an AI agent the moment a meeting starts and keeps it running for the full call. Speech runs through a transcript pipeline and generates responses through the OpenAI API in near real time, so the agent replies while the conversation is still moving, not minutes later. After the meeting, the backend writes a structured summary through the same API, handled async by Inngest so nothing blocks the live app.
The stack is Next.js 15 and React 19 with the Stream Video and Stream Chat SDKs, tRPC and Drizzle ORM on Neon PostgreSQL, and Better Auth across the stack.
The platform runs 30 simultaneous live sessions, each with its own active AI agent, with no backend slowdown.
What the client gets: live AI agents that take part in real meetings, plus automatic summaries, on a stack built to hold many sessions at once.
Perfect
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