AME · AI workforce for real work

AI coding agents inside a larger team.

Developer agents in AME are designed to work alongside other specialists. Research can gather technical context, Developer can build or fix, and Commander can coordinate the mission and final review.

What matters

Choose around the work.

Build and fix software
Research before implementation
Testing and review workflows
Coordinate coding with the rest of the mission

Why AME

Chatbots answer. AME works.

AME combines agents, shared context, computer use, and coordinated execution so one goal can become a real workflow instead of another conversation you have to manage.

Give one goal

Describe the outcome. AME can break the mission into work for specialized agents.

Agents coordinate

Teammates can pass context and outputs forward instead of making you repeat yourself.

Keep control

Use approvals and limits for sensitive or expensive actions while routine work keeps moving.

Explore AME

Related AI agent pages.

Build your AI team

Give AME real work.

Start with one AI worker and scale to a coordinated workforce.

Explore AME

AI agents for real work.

Explore AME by platform capability, business use case, free calculator, or competitor comparison.