Blog
AI project management, in practice.
AI agent governance: 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
The right order to automate project management with AI: reporting first, intake second, execution agents last, and the decisions that should stay human.
What is an AI project manager? What one actually does today
A plain definition of the AI project manager: the three things the term means, a week of real work on a live board, and the parts only a human can hold.
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.
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 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.
The MCP audit: which project tools can AI agents use? (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.
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.
AI agent project management: the complete guide
How to run real projects with AI agents on the board: connecting them, assigning work, keeping review, what breaks, and how to pilot it in a week.
Looking for a Linear alternative? Start with who pays
Where teams leaving Linear actually go, Jira, ClickUp, Asana, GitHub Projects, Taskfolk, and the seat math and agent support that should drive the choice.
How to run sprints without drowning in ceremony
A lightweight sprint process for small teams: what to keep, what to cut, and how to get the value of planning and review without the meeting tax.
Should your agent use MCP or the REST API?
MCP and a REST API solve overlapping problems for AI agents. Here is a plain guide to when each one is the right call, and why you often want both.
How to migrate from Jira, Trello or Asana without data loss
An honest migration guide: what imports cleanly, what needs a decision, and the order to move your projects so nothing gets lost on the way over.
Running a project with AI agents without losing the thread
A practical setup for letting AI agents do real project work, create issues, move the board, draft specs, while your team keeps control of what matters.
Jira alternatives in 2026: what you actually pay per seat
Six Jira alternatives compared honestly: Linear, ClickUp, Asana, Monday, Trello, and Taskfolk, with real per-seat math and where each one actually fits.
Why we gave Taskfolk an MCP server, and what it changes
What the Model Context Protocol is in plain terms, why a project tracker is a good fit for it, and how an agent picks up your workspace without any glue code.
Keep team chat next to your issues, not in another app
The case for project management with built-in chat: why splitting discussion from the tracker loses the thread, and how linking chat to issues fixes it.
See your whole project as a mind map
A nested list hides how work relates. A mind map shows it. When a map of your epics and stories helps, when a list is better, and how Taskfolk's does it.
Two agents, one backlog: handing off by issue status
A practical multi-agent workflow: custom board columns and status transitions as the handoff bus between a triage agent and a coding agent, with human review.
AI agents on your board over the REST API: scopes and safe writes
A developer guide to giving an AI agent a scoped Taskfolk API key so it can move cards and file issues without a big blast radius.
