Blog tag
Tagged: AI agents.
9 articles tagged AI agents
How to connect an ai agent
Connect an AI agent to a project management tool in Utter: name it, mint a scoped key, wire up MCP, assign a ticket, and watch its sessions, step by step.
Will AI agents replace project managers? What actually changes
Agents already handle the mechanical parts of project management. The judgment part is harder, and it is not going anywhere. An honest look at the shift.
How to tell when an AI agent is stuck (and what to do about it)
A looping, waiting, or hung agent looks exactly like a working one. Here is how to get a real signal on an agent's live state and catch stuck runs.
Onboard an AI agent like a new hire: identity, access, and a first task
You already know how to bring on a new hire. Do the same for an AI agent: give it an identity, scoped access, one small task, a review, and an offboarding path.
Who decides what: setting decision rights between your team and your AI agents
A simple rule for AI governance: reversible, low-stakes moves are the agent's to make; irreversible or high-stakes ones need a human. How to draw the line.
How to scope an AI agent's first job so the pilot doesn't die
Most first AI agent projects fail on scope, not model quality. Here is how to pick a first job narrow and checkable enough to actually ship.
Do AI agents count as seats? The real cost of running agents on your tracker
Two costs get blurred together: paying a seat per bot, and the tokens the model burns. Here is how to separate them and estimate what agents actually cost.
Keep an audit trail of everything your AI agents change
Once agents can write to your tracker, a shared bot account makes every change anonymous. Here is how per-agent identity keeps the trail readable.
The MCP audit: which project tools can AI agents actually use? (July 2026)
We audited the MCP servers of 13 project management tools: who has one, what agents can really do, the call caps, and the gaps nobody mentions.