You have an AI product with 4 specialized agents: a Planner, a Researcher, a Coder, and a...
You have an AI product with 4 specialized agents: a Planner, a Researcher, a Coder, and a Reviewer.
The Planner breaks down the task. The Researcher pulls context. The Coder implements. The Reviewer catches bugs.
Simple on paper. In production, it's falling apart.
Here's what's happening:
• The Researcher sometimes returns before the Planner finishes → Coder gets incomplete context
Your AI feature works in the demo. It fails in production 3 weeks later. Nobody touched the model....
Your AI agent remembered the user's name. Then it forgot what it was doing. Here's the setup: User...
Seven AI models organized into a 24/7 team via Linear. Drop a task card, supervisor Agent picks it up in 5 minutes, dispatches to…
I keep watching teams ship agent systems into production and then discover, on day three, that "the...
A founder's CTO came back from a vendor pitch convinced the company needed eighteen agents and a six-month rebuild. The current…
The agent looked unstoppable in the demo. Six weeks later it is still "almost ready to go live." If...
