Switch from AgentAGI to Task Machine

AgentAGI and Task Machine are aimed at the same person: a solo founder who wants AI agents running the company's recurring work. The difference is where you stand. AgentAGI hires you an org chart — Atlas the CEO orchestrator, Echo on marketing, Nova on growth, Forge on engineering — that runs 24/7 while you approve strategy from above like a board of directors. Task Machine is built around its three-surface workflow (chat, inbox, tasks): you steer where the work is, not from a board seat.

Why do people switch from AgentAGI?

• Approving strategy isn't steering work. By the time a plan reaches the board, the interesting decisions already happened inside the tickets. Task Machine puts approval, question, and verifier steps inside the workflow itself, so the call reaches you at the step where it matters — before the send, the publish, the spend.
• An org chart describes agents, but it doesn't constrain a run. Roles and reporting lines say who does what, not what a given run was allowed to do. Task Machine executes deterministic, verifiable workflows with step-level run history, so you can check exactly what each step did and why.
• 24/7 is a default, not a dial. AgentAGI's company runs around the clock while you stay at the strategy layer. Task Machine gives you autonomy levels per agent, project, or goal — controlled autonomy you raise where an agent has earned it.
• Budgets that warn before they stop. AgentAGI's per-agent budgets stop at the limit. Task Machine puts token and money budgets on the work with alerts at 80% and 100%. And on money generally: you keep 100% of your revenue — Task Machine takes no cut and never custodies your accounts.

What maps to what?

What do you give up?

Honesty first: AgentAGI's onboarding is faster. Its templates stand up a working agent company in about two minutes, everything runs in its cloud, and there is nothing to connect. Task Machine asks you to connect your own accounts and a worker on a machine you control, which takes longer than picking a template. And if what you want is a company that runs itself while you check in at the strategy level, AgentAGI is built for exactly that.

How does the switch work?

1. Join the Task Machine waitlist and connect a workspace to accounts you own — email, Stripe, repos — through connectors.
2. Pick the playbooks that match what your AgentAGI team was doing (marketing, growth, engineering, content) — each installs the agents, workflows, and documents for that job.
3. Set autonomy levels low to start: consequential steps wait in your inbox, and you raise autonomy per agent, project, or goal as trust builds.
4. Set token and money budgets with 80% and 100% alerts, and schedule the recurring workflows you want running each week.

Common questions

Can Task Machine run around the clock like AgentAGI?

Scheduled recurring workflows run without you at the keyboard, and autonomy levels decide how much ships without review. The default is different: consequential steps wait in your inbox rather than running under a standing strategy approval.

Do I lose the specialist-team structure?

No. You can configure agents into teams yourself or install one from a playbook. What changes is the control model: instead of reporting lines, control flows through the workflow — approval, question, and verifier steps at the points you choose.

What replaces the strategy approvals?

Chat. You set direction in conversation and it fans out into tasks, then the inbox brings you each consequential step. You review decisions where they happen instead of after they've been summarized upward.