Blog
Notes from the team.
9 articles in Guides
AI agent governance for project teams: seven controls your tracker can enforce
Governance for AI agent teams is not a policy PDF. Seven controls your tracker can enforce, from identity to offboarding, and what tooling cannot fix.
How to automate project management with AI, and what to leave manual
The right order to automate project management with AI: reporting first, intake second, execution agents last, and the decisions that should stay human.
How to manage a team of AI agents without losing track of what they're doing
Running several AI agents at once? The day-to-day of a fleet: a roster, live sessions, instant delegation, per-field permissions, and verified work.
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.
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.
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.
Can an AI run your standup?
Mostly yes, and your team will thank you. What an agent can compile from the board, what still needs a human, and how to set up an async AI standup.
AI sprint planning: what actually works in 2026
Where AI genuinely helps plan a sprint, drafting, sizing, capacity checks, and where letting it decide is a mistake. A working setup, honestly described.