AI Orchestration
A multi-agent system that scales a two-person agency
An equation that doesn't close with traditional methods
A two-person agency with studio-level ambitions. A website with advanced 3D effects, GLSL shaders, and dozens of interactive elements. Brand materials, documents, digital cards, case studies.
Everything demands visual consistency, testing across multiple screen sizes, and continuous iteration. A conventional team would need a front-end developer, designer, QA tester, and project manager.
One agent designs the interface, another writes code, another audits quality
Every task goes through a cycle: planning, execution, verification
Agents share a knowledge base: decisions, guidelines, feedback, and learnings from every project
A coordinator distributes tasks and merges results. The rest execute in parallel
A team of agents working under unified direction
We designed a multi-agent AI system where each agent has a clearly defined role, area of responsibility, and access to a shared organizational memory.
A new agent picks up project context in seconds. No onboarding needed, no repeating decisions. The system learns from every project. Feedback and decisions persist in memory permanently.
Studio-grade quality at a two-person agency scale
- A website with advanced 3D graphics delivered in a fraction of a traditional team's time
- Full responsiveness verified automatically after every change
- A consistent materials system: digital cards, PDFs, business cards from a single design source
- Every iteration goes through the same quality standard
