Freeman Madudili
Frontend Developer crafting intelligent AI driven apps
Ready for work
Freeman is ready for their next project!
Built a small workout app for myself with Expo
Not a startup, not trying to be the next Strava 😄
I just wanted something that would not break mid-workout
So I built the logic first
Clear workout structure
Sessions that do not magically reset
Safe resume even if the app gets killed
Everything runs locally
No accounts, no cloud, no drama
UI came last on purpose
Boring systems > flashy noisy apps
Open to building this way for real products
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FocusSphere: Unity Simulation (Web + Desktop)
A full interactive environment built to explore focus vs distraction.
Highlights:
• AI navigation + dynamic spawning
• Responsive environment (light, fog, colour, audio)
• Complete game flow (Start → End)
• Scriptable config + clean architecture
• WebGL build that runs in the browser
Try it here:
https://play.unity.com/en/games/e64101ab-9383-4f4d-b637-9e3cb086cb55/finalbuild
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Took some time to explore structured outputs with the OpenAI Responses API.
Built a simple flow: live reasoning stream → output validation → clean plan render.
Small build, but a solid step in understanding structured AI workflows.
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Just wrapped up PromptPilot (https://promptpilot-freemancodz.vercel.app), a small AI chat demo built to test smooth, real-time streaming.
It explores how far you can push the new OpenAI Responses API without a heavy backend.
What it does:
• Streams GPT-5-mini in real time with selectable tones
• Uses double guardrails for safer outputs
• Tracks chat history and token usage per session
Built with: Next.js 15, React 19, Tailwind v4, Zustand, OpenAI Responses API, Sonner, CryptoJS.
I built it to get hands-on with the new Responses API and focus on smooth UX, streaming, and safety.
Walkthrough below 👇
Let me know what you’d improve before calling it production-ready.
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