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AI & AUTOMATIONCASE STUDY

Multi-agent operations platform

A shared workspace where five specialist agents each run one job. They keep saved context, and people work with them through a secure messaging interface on private infrastructure.

Year
2025
Context
JS Labs
Role
Design, engineering, and operations
Stack
Next.jsClaude & MCPPrivate infrastructure

01. The challenge

Separate agents lose context, and people switch between tools to ask the same questions. The workflows needed a shared workspace with saved context and clear approval steps.

02. The approach

I built a shared workspace for five specialist agents, with saved context and a messaging interface. It runs on private infrastructure.

03. What I built

A central orchestrator coordinating five domain-specialist agents

Persistent memory so a job does not reset every time someone opens the chat

A secure messaging interface on hardened private infrastructure

04. The outcome

The workflows run in one workspace. Each agent has its own job, and a person can work with them through the messaging interface.

Five specialistsPersistent memory

Want something like this built for you?

I take on a small number of builds each year. Tell me the job and the tools it needs to work with.

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