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Switch from Hyperagent to Task Machine

A practical guide to moving from Hyperagent to Task Machine: turn one-off deliverables into recurring workflows, and review every consequential action from one inbox.

Prefer the side-by-side comparison?

Hyperagent and Task Machine overlap on the important things: both run real agent work, both connect to accounts you own instead of holding them, and neither takes a cut of your revenue. The difference is the shape of the work. Hyperagent, built by Airtable, is prompt-first: you brief an agent and it builds and maintains a living deliverable — a site, a dashboard, a video, a document. Task Machine is control-first: you turn recurring operations into explicit workflows and approve the consequential parts from one inbox.

Why do people switch from Hyperagent?

  • The work is a process, not one artifact. Hyperagent excels when the output is a self-updating deliverable. The work that runs a business — outreach, content, client reporting, support, follow-ups — is a repeating process with judgment scattered through it. Task Machine models that as a workflow you direct, not a thing an agent hands back.
  • Reviewing a result vs steering the run. Prompt-first means you inspect the deliverable after the agent produces it. Task Machine's three surfaces — chat to direct, inbox to approve, tasks to dig in — let you see where a run is and decide before it ships, which matters for anything client-facing or money-touching.
  • A gate you sign off, not a score. Hyperagent's evals score output to help an agent improve. Task Machine's verifiers are explicit workflow steps sitting next to human-question and approval nodes, so a failed check becomes inbox work a person decides on before anything moves forward.
  • Built for operators and agencies. Hyperagent serves founders and enterprise at once. Task Machine is built for 1-to-3-person operators and small agencies, with playbooks, approvals, and a run history you can hand to a client.

What maps to what?

In Hyperagent In Task Machine
Brief an agent to build a deliverable Chat that fans direction out into tasks and workflows
A living deliverable an agent maintains A scheduled recurring workflow with approval and verifier steps
Watching an agent's searches and decisions Step-level logs on every workflow run
Evals that score and self-improve output Verifier nodes that gate a run and route failures to your inbox
Skills and memories Skills, plus agent memory and a workspace knowledge library
Slack / Telegram / webhook / schedule triggers Scheduled and triggered workflows, with the inbox as the control surface
Agents authenticating into your systems Connectors and workers wired to accounts you own

What do you give up?

Honesty first. Hyperagent is built by Airtable, and its resources show: for producing a polished, self-updating deliverable from a single prompt, it is genuinely strong, and that onboarding is likely to keep improving fast. Its self-improving evals are also a real advantage when an agent can grade its own output. Task Machine asks for more up front — you connect your own accounts and a worker, and you pick playbooks that match the work — and its default keeps consequential actions waiting for your approval rather than shipping on their own. If what you want is to describe an outcome and get back a finished artifact with minimal involvement, Hyperagent is built for exactly that.

How does the switch work?

  1. Join the Task Machine waitlist and connect a workspace to the accounts and tools you already use — since Hyperagent already acts through accounts you own, most of these connections carry over.
  2. Pick the playbooks that match the recurring work behind your Hyperagent deliverables (outreach, content, reporting, support). Each installs the agents, workflows, and documents for that job.
  3. Set autonomy levels low to start: everything consequential lands in your inbox for approval, and you raise autonomy where an agent proves itself.
  4. Schedule the recurring workflows you want running, and add verifier and approval steps where a check or a person should sign off before work ships.

Common questions

Does Task Machine build deliverables like Hyperagent does?

Agents in Task Machine produce work — documents, drafts, reports, code — through workers connected to your tools. The difference is the frame: Task Machine centers on directing recurring operations and approving them from an inbox, rather than handing you one finished artifact an agent maintains on its own.

Do Task Machine's verifiers replace Hyperagent's evals?

They serve a different purpose. Hyperagent's evals score output to improve the agent. Task Machine's verifiers are explicit gate steps in a workflow: when a check fails, it creates inbox work and a person decides what happens next before anything moves forward.

Do I need to be technical to switch?

You should be comfortable connecting your own accounts and running the setup on a machine you control. Playbooks and guided onboarding carry most of the configuration.

Details about Hyperagent reflect its public materials at the time of writing; check their site for current terms.

Ready to make the move?

Join the waitlist and we will send early access when the first private beta spots open.

Private beta. We invite teams in batches and never share your email.