Task Machine vs Hyperagent

You want agents to run real work, not help with the occasional one-off. Hyperagent and Task Machine both offer that, and both connect to the accounts and tools you already own rather than holding them. Where they differ is the shape of the work and how it reaches you: whether an agent hands you a finished, self-updating deliverable, or whether you direct recurring operations and approve the consequential parts from one inbox.

What Hyperagent does well

Hyperagent is built by Airtable and launched in early 2026, so it arrives with resources most tools in this space do not have. You brief an agent in plain language and it researches, builds, and then keeps maintaining a finished artifact — a website, a video, a deck, a document, a dashboard — that updates itself as circumstances change. The agent works in the open: you can watch its searches, its decisions, and the artifact taking shape. It is model-agnostic across Claude, ChatGPT, and Gemini, runs each agent in its own cloud environment, and is reachable from Slack, Telegram, webhooks, and schedules. Its agents authenticate into systems you own, and its stack is organized around skills, memories, and evals, where evals are a scoring step that helps an agent improve its own output over time.

If what you want is to describe an outcome and get back a living deliverable that an agent maintains for you, that is a genuine strength, and Airtable's backing means the polish and the onboarding are likely to keep improving quickly. Before you commit, the questions worth asking are about the unit of work, how you stay in control, and who the product is really built for.

A living deliverable, or directed operations

Hyperagent's unit of work is a deliverable. You ask for a thing, an agent builds that thing, and then it tends the thing so it stays current. That maps cleanly onto artifacts with a clear finished shape: a site that reflects this week's inventory, a dashboard that refreshes, a recruiting page that stays live.

Task Machine's unit of work is an operation you direct. The recurring work that actually runs a business — the outreach, the content, the client reports, the support queue, the follow-ups — is less a single artifact than a repeatable process with judgment calls scattered through it. Task Machine turns that process into an explicit workflow and routes the judgment calls to you. The two are not the same job. If your need is one self-updating artifact, Hyperagent fits it well. If your need is the ongoing operation behind many artifacts, a directed workflow fits better.

Prompt-first autonomy, or inbox-first control

With Hyperagent you prompt an agent and it runs, and you review the deliverable it produces. That is fast, and for low-stakes or clearly-scoped output it is often all you need.

Task Machine is built the other way around. You work through three connected surfaces: chat to set direction and fan work out into tasks, an inbox to approve, answer, and review anything that needs your judgment, and tasks to dig into a specific piece of work. Instead of reviewing a finished result, you see where each run is and steer it before it ships. For anything client-facing or money-touching, deciding before the send rather than inspecting after it is the difference that matters, and it is the reason the inbox, not the chat box, is where you spend most of your time.

Evals that improve the agent, or verifiers that gate the work

Hyperagent and Task Machine both have a notion of checking work, so it is worth being precise about what each one does. Hyperagent's evals score an agent's output to help the agent get better at the task. The check improves the worker.

Task Machine's verifiers are explicit steps in a workflow graph, sitting alongside human-question and approval nodes. A verifier that fails does not quietly retrain an agent — it creates work in your inbox, and a person decides what happens next before anything moves forward. The check gates the run. Both are useful, and self-improving evals are a real advantage for output that an agent can meaningfully grade on its own. When the standard for "good enough to send" is your judgment rather than a score, a gate a human signs off is the model that keeps you in control.

Built for operators and agencies

Hyperagent aims at two audiences at once: agent-first founders and mid-market-to-enterprise operators, with examples ranging from small professional practices to Airtable's own internal teams. That breadth is a strength for them and a signal for you: a product serving enterprise buyers optimizes for enterprise problems.

Task Machine is built for a narrower reader on purpose: 1-to-3-person operators, indie hackers, tiny startups, and small agencies running recurring work for clients. The agency case in particular — packaging repeatable client work into playbooks with approvals and a run history you can hand to a client or a post-mortem — is something the broader platforms do not set out to serve.

What you get with Task Machine

Recurring work, controlled from one inbox. Most agent tools are good at producing a result on demand. The work that runs a business repeats, and Task Machine turns that recurring work into repeatable workflows, sending anything that needs your judgment — approvals, questions, exceptions — to a single inbox.

Workflows you can read and trust. Your workflows are explicit graphs of steps with branch conditions, human-question nodes, approval nodes, and verifier nodes, with step-level logs you can read. You decide where a person or a check has to sign off, and you can see exactly what each step did.

Composable, connected to accounts you own. Task Machine is assembled from building blocks — agents, teams, workflows, tasks, knowledge, skills, workers — wired to the tools and accounts you already use, so you can shape almost any operation rather than the one shape a platform decided in advance.

When each fits

Choose Hyperagent if the job is a living deliverable — a site, a dashboard, a video, a document — that you want an agent to build and keep current, if prompt-first autonomy suits the stakes of your work, and if you value being on the platform Airtable is putting its weight behind.

Choose Task Machine if the job is recurring operations you want to direct rather than a single artifact you want produced, if you want the consequential parts of every run to wait for your approval in one inbox, if you want workflows you can read and gate step by step, and if you are a solo operator or agency who wants the work connected to accounts you own and shaped from flexible building blocks into whatever your business needs.