Blog
AI project management, in practice.
8 articles in Product
OKRs that roll up from the work, not a spreadsheet
Taskfolk puts portfolios and OKRs inside the tracker. Goals carry key results that roll up from real issues, ladder into company objectives, and keep their own status current.
Story points or hours, and parallel sprints when squads share a project
Taskfolk now estimates in story points or hours per project (Fibonacci scale, points-based velocity) and runs parallel sprints when squads share a project. Both opt-in, on every plan.
Taskfolk integrations: the marketplace, OAuth apps, and the API-first model
Taskfolk integrations explained: the 12-card marketplace, signed webhooks, scoped API keys, a first-party MCP server, and OAuth apps, plus what is missing and why.
What you can run in Taskfolk without extra tools
A straight, capability-forward tour of the jobs Taskfolk covers in its core, from a light help desk to integrations, estimation, and roadmaps, and when to pair a dedicated tool.
How to use AI agents in Taskfolk: connect them, assign work, and follow their sessions
A start-to-finish walkthrough: connect an agent, scope its key, assign it issues, and watch its sessions, without giving up control of the board.
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 (and when it beats a nested list)
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.
