this Loop flow in Teamily AI fixes messy agency reports
โ an agent drafts the weekly update
โ two teammates review in the workflow
โ rerun it straight from the chat
@Teamily_AI shipped 2.0, giving small businesses and teams a human-agent setup for Team AI.
Most "AI teams" are one human and a lot of agents talking to themselves.
Teamily AI is a Humans + Agents platform, so other humans can walk into the room too. People and agents keep the same project context and build on one another's work.
So I gave it a tiny job: The Department of Tiny Decisions, a municipal court run by pigeons. Type a low-stakes dilemma, click "Ask the Judge," get a ruling.
A Creative Director agent wrote the judge's voice and a UX brief. A Frontend Builder built the site from that brief with Website Builder and handed it back for review. Then I pulled a collaborator into the group to file a few cases.
The interesting part is what happens when the work changes.
My collaborator asked for a meaner, funnier judge, sharper verdicts and more absurd sentences and a Case History list of the dilemmas submitted that session. I passed the request to the same two agents for the next pass: revise the judge's voice and add the running case list.
That's a more honest, and more compelling, way to show what team AI can look like in practice.
Court link: https://t.co/wMDa9IK0Xt
@Teamily_AI
Code: PXXLWY
https://t.co/knGnIfqxL3