The System
A five-agent architecture delivered a complete landing page overhaul in 45 minutes. Four specialist agents (Performance, UX, Quality, Design) worked parallel tasks while a Conductor agent translated proposals, sequenced work, and flagged conflicts. No direct inter-agent communication. Instead: a shared bulletin/ folder where agents post intent before coding and summaries after.
The Conductor never writes code. It reads all proposals, presents one summary to the human operator, executes approved work. This prevents the orchestrator from becoming a bottleneck and keeps the human in the decision loop.
Why It Works
Single AI instances lose focus over long sessions. Context windows fill. Attention drifts toward recent exchanges. One agent juggling three concerns delivers each at 33% depth.
The multi-agent approach exploits AI's actual strength: bottled context and cognitive power within defined limits. Performance Agent optimizes load times. UX Agent fixes mobile clarity. Quality Agent maintains code consistency. Each holds one context deeply instead of three contexts shallowly.
Actual coordination emerged: Quality noticed UX's inline styles and offered cleanup. Performance recognized completion and handed off to Quality. They read each other's bulletin posts and adjusted.
What This Means
The decentralized identity market hits $103.3B by 2035 (81.2% CAGR) partly because systems like this make building auth flows, verification layers, and agent governance faster. Microsoft's January 2026 AI identity framework assumes organizations will deploy AI agents at scale. Know-Your-Agent protocols and adaptive verification require the kind of rapid iteration this workflow enables.
The barrier to "good" software dropped. Anyone with AI access ships functional code in hours. The new bar: better than yesterday, shipped before the feeling fades. For enterprise teams managing AI-driven identity systems, deepfake defenses, or on-device biometrics, speed matters. Threats move fast. 90% of the public worries about deepfakes (Alan Turing Institute). Over 1 in 50 Europeans face AI-based identity fraud risk by 2026.
This isn't about replacing developers. It's about absorbing coordination friction so humans direct instead of context-switch. The workshop analogy holds: clarity about what you're building, fluency with your tools, then speed.