Blog tag
Tagged: AI agent management.
18 articles tagged AI agent management
Meta Muse vs Grok Bots vs Taskfolk Bots
Meta Muse, Grok Bot and Taskfolk Bots all give you an AI agent you can chat with. Where each one runs, what it remembers, and which fits a team.
How to use Hermes Agent for project management
Hermes Agent remembers everything but holds no plan. How to connect it to a real board over MCP: tickets from chat, a morning digest, triage, and delegation.
How to use Block's Buzz for project management
Block's Buzz gives humans and AI agents one signed workspace but deliberately skips issue tracking. How to pair a Buzz relay with a real board over MCP.
How to use Grok Bot for project management
How to use Grok Bot with Taskfolk for project management: connect each Bot as a named member over the REST API, surface its approvals, and read its sessions.
Grok project management: give xAI's coding agent a real board
How to use Grok Build, xAI's coding agent, for real project management: connect it to a shared board over MCP, delegate tickets, and read its sessions.
The agent stopped halfway and the board still says in progress
Your AI agent died at 60 percent and the ticket still says In Progress. How to pick up where an agent left off, and stop the board lying about it.
Did your AI agents actually save time, or did it just feel fast?
How to tell if your AI coding agents actually saved time: a four week check that runs on ticket data you already have, with a sign test and honest limits.
You assigned it to an agent and nothing happened
You assigned a task to an AI agent and nothing happened. Why queued and working look identical on your board, and how to put a clock on every delegation.
What an AI agent actually costs per task
Work out AI agent cost per task: attribute agent-reported spend to an issue key, divide by completed work rather than attempts, and read the result honestly.
Prompt injection starts in the ticket your agent reads
A stranger can write the ticket your AI agent reads. Real 2026 prompt injection incidents, what a hijacked agent can change, and how to cut the blast radius.
Claude Code task management: a real tracker, not a markdown file
Give Claude Code persistent, attributed task management by connecting a real tracker over MCP instead of a markdown file. Honest comparison to Task Master.
Cursor task management: give the agent a shared board over MCP
Cursor task management usually means a local Task Master file. Connect Cursor to a shared board over MCP so it claims work and reports reviewable sessions.
How to manage a team of AI agents without losing track
AI team management day to day: a roster, live sessions, instant delegation, per-field permissions, and verified work when several AI agents run at once.
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, 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.
Do AI agents count as seats? The real cost of running them
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.
