Blog tag

Tagged: AI agents.

24 articles tagged AI agents

Guides9 min read100 views

Turn a PRD into epics, stories, and tasks your AI agents can build

Give your AI coding agents a plan they can build. Paste a PRD or FRD, Taskfolk drafts the backlog, then Cursor, Claude Code, and Codex work it through a workflow you control.

Guides5 min read25 views

Chat with your AI agents, then put them in a workflow

Taskfolk lets you DM an AI agent or @mention it in a channel, watch it work, and connect agents and people on a canvas so a ticket routes itself through triage, build, and review.

Comparisons15 min read29 views

ClickUp alternatives for teams who want calm, not more features

ClickUp alternatives for teams who want a calm tracker they will actually adopt. Honest July 2026 pricing and AI-cost tables, where ClickUp still wins, and Taskfolk's free agent members.

Comparisons17 min read22 views

Asana alternatives that cost less and speak agent

Asana alternatives for growing teams: how Asana's tiered seats round your bill up, and how Taskfolk's $3 per-editor pricing with free viewers and agents changes the math. As of July 2026.

Guides13 min read32 views

Claude Code task management: give your agent 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, as of July 2026.

Comparisons17 min read30 views

A Notion alternative for project management (keep the docs, gain a real tracker)

A Notion alternative for project management that keeps your docs and adds a real tracker: category-backed statuses, native sprints with carryover, computed burndown, agents over MCP.

Comparisons16 min read25 views

Monday.com alternatives built for software teams, not marketing ops

Monday.com alternatives for software teams: real pricing (3-seat minimum vs $3/$6 per builder seat), category-backed statuses, sprints with carryover, and agents as free members not billed integrations.

Guides18 min read17 views

A shared backlog for a team of AI coding agents

Task manager for AI coding agents: give three agents one shared backlog with per-agent identity, field permissions, status handoffs, and human review gates.

Guides15 min read24 views

Project management for solo founders (you plus a few agents is the team)

Project management for solo founders means capturing everything and letting a few AI agents do real work, at $0, with agents as free members not paid seats.

Guides16 min read22 views

Cursor task management: give the agent a shared board over MCP

Cursor task management usually means a local Task Master or .cursor/rules file. Connect Cursor to a shared board over MCP so the agent reads issues, claims work, and reports sessions humans can review.

Comparisons18 min read19 views

A GitHub Issues alternative for when projects outgrow a repo

GitHub Issues alternative for teams that outgrew Issues but keep GitHub for code: real statuses, ranked backlog, burndown, commit linking, and free AI-agent seats.

Product15 min read25 views

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.

Comparisons11 min read23 views

The best AI project management software in 2026, honestly ranked

Eight AI project management tools ranked with a stated lens: what the AI really does, what it costs on top of the seat price, and who each one fits.

Comparisons9 min read24 views

What an AI issue tracker actually is, and how to pick one

Most tools that say AI issue tracking mean a summarize button. A five-part checklist for what the label should mean, plus the failure modes to test in a pilot.

Guides11 min read17 views

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.

Guides10 min read20 views

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.

Concepts10 min read26 views

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.

Product13 min read26 views

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.

Guides19 min read90 views

How to manage a team of AI agents without losing track of what they're doing

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.

Tutorials17 min read23 views

How to connect an ai agent

Connect an AI agent to a project management tool in Taskfolk: name it, mint a scoped key, wire up MCP, assign a ticket, and watch its sessions, step by step.

Opinion8 min read16 views

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.

Guides8 min read21 views

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.

Guides12 min read25 views

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.

Concepts8 min read20 views

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.