Systems Visualization

๐Ÿค– Multi-Agent Workflow

Watch how 4 AI agents coordinate to ship a feature โ€” from research to code to deployment. Real workflow data from building this very labs page.

74
Supplements Analyzed
21
Files Updated
4
Agents Active
1 day
Sprint Duration

๐Ÿง 

Milo

Strategy & Coordination

๐Ÿ”ญ

Scout

Research & Analysis

๐Ÿ”ง

Dev

Engineering & CI

๐Ÿพ

Claw

Ops & Daily Brief

Message Log

๐Ÿง 

Milo

โ†’

๐Ÿ”ญ

Scout

Research supplement interactions

๐Ÿง 

Milo

โ†’

๐Ÿ”ง

Dev

Scaffold labs page

๐Ÿง 

Milo

โ†’

๐Ÿพ

Claw

Morning briefing

๐Ÿ”ญ

Scout

โ†’

๐Ÿง 

Milo

74 supplements analyzed

๐Ÿ”ง

Dev

โ†’

๐Ÿง 

Milo

PR #80 ready for review

๐Ÿง 

Milo

โ†’

๐Ÿ”ง

Dev

Build interactive experiments

๐Ÿ”ญ

Scout

โ†’

๐Ÿ”ง

Dev

Research notes ready

๐Ÿ”ง

Dev

โ†’

๐Ÿง 

Milo

21 files updated, CI green โœ“

๐Ÿพ

Claw

โ†’

๐Ÿง 

Milo

Status synced to chronicle


How it works

This visualization shows the real coordination pattern used to build the labs page you're looking at right now. Four AI agents running on OpenClaw โ€” an open-source agent orchestration platform โ€” work in parallel:

๐Ÿง  Milo โ€” Coordinates the team, writes standups, delegates tasks

๐Ÿ”ญ Scout โ€” Researches opportunities, analyzes competitors, evolves ideas

๐Ÿ”ง Dev โ€” Handles CI, PRs, code review, architecture, and implementation

๐Ÿพ Claw โ€” Daily briefings, personal ops, chronicles everything

Each agent has its own workspace, notes, and tools โ€” but they share context through a common status file and can spawn sub-agents for parallel work. The result: a full feature shipped in a single sprint by a team of AI agents.

Built with: Next.js ยท Chakra UI ยท Framer Motion

View Source โ†’

ยฉ 2026 Adam Hultman