README
Artifexa: AI Agent Orchestration
A showcase of AI agent orchestration featuring two specialized pipelines that convert unstructured prompts into structured, production-ready outputs. Demonstrates how collaborative AI agents can be designed for reliability using strict JSON contracts and Zod schema enforcement.
The Concept
- Demonstrating how multiple AI agents can collaborate in a deterministic, self-correcting pipeline
- Proving that AI agents can be reliable when constrained by strict JSON contracts and schema validation
- Showcasing two distinct orchestration pipelines for creative and technical domains
- Exploring the frontier of multi-agent system design for production use cases
The Approach
- Designed a sticky-card scroll experience to reveal the platform story progressively
- Built Vision Canvas Studio: high-fidelity prompt generation for text-to-image and video pipelines
- Built Product Architect Studio: AI-generated PRDs, technical scoping docs and architecture diagrams
- Implemented a 3-stage pipeline: Cognitive Parsing, Agent Delegation, and Deterministic Sync
- Enforced output reliability via strict JSON contracts and Zod schema validation throughout
Tools & Technology
- Next.js (App Router) - Core framework for both studios
- Framer Motion - Scroll-driven sticky animations and card transitions
- Zod - Schema validation for deterministic agent output contracts
- LLM APIs - Underlying intelligence for both orchestration pipelines
- Lucide Icons + Tailwind CSS - Clean, minimal UI system
Key Takeaways
- Multi-agent reliability depends on output contracts, not just model quality
- Deterministic sync via schema validation eliminates hallucination drift in pipelines
- Scroll-driven animation is highly effective for communicating complex system architecture
Tech Stack
Next.jsFramer MotionZodOpenAI
Screenshots



