A coordinated multi-agent AI system where specialized agents pass work between each other with built-in quality validation. Two studios: one for creative prompt generation, one for turning rough product ideas into structured technical output.

Single-model AI calls hallucinate and lose context on complex multi-step tasks. There is no reliable way to convert a vague idea into structured technical output in one shot. Creative AI generation also requires expert prompt engineering that most users do not have.

Vision Canvas Studio converts simple descriptions into detailed, optimised prompts for image and video generation tools. Product Architect Studio turns rough product ideas into full PRDs, tech specs, and test cases. Both studios use a 3-step workflow: understand the request, assign to a specialist agent, then combine and validate the output.

Strict output contracts between pipeline stages are what eliminate hallucination drift - not model quality alone. Each agent receives clean, validated input from the previous stage, making the entire system more reliable than any single model call. Built-in quality validation between every stage means errors surface early and never compound downstream.

Multi-agent reliability depends on output contracts, not just model quality - this was the core architectural insight.

Strict validation between agents eliminates hallucination drift far more effectively than prompting alone.

Scroll-driven sticky animation is a powerful technique for communicating complex system architecture to non-technical audiences.

Next.js, OpenAI API, Framer Motion, Tailwind CSS, TypeScript