Founding lifetime offer Starting from $299 10 spots left View offer

Scale your SaaS, not your headcount

Keep MRR, churn, activation, and follow-ups moving with a daily operating loop of humans and agents, where every customer- or money-facing action waits for your approval.

Start 7-day trial

Illustrative agents and teammates orbit you while they work. Most decisions stay within each agent's limits. Consequential ones appear as inbox items that wait for your approval. These are examples, not live activity.

Task Machine Live
Tasks in 30 days
217
Avg. cost / task
$28.020
Autonomy
78%

Run the work without babysitting every agent

Start work in Chat, decide from Inbox, and open a task when you want the details. Workflows and playbooks take care of the jobs that come back every week.

Talk it through, then hand it off

Talk through the outcome and agree on a plan. Task Machine then creates the tasks, workflows, and documents from the same conversation.

Work through the idea

Discuss goals, tradeoffs, and missing details before any work is created.

Create from the conversation

Turn the plan into tasks, workflows, playbooks, and Library documents.

Bring your context

Pull in goals, projects, people, agents, and company knowledge as you plan.

Approval 2m ago

Send the win-back offer to Northwind?

The agent flagged Northwind's usage falling for three weeks and drafted a win-back, but the discount is above your standard retention tier. Approve or reject before it reaches them.

Win-back 1h ago

Offer Globex an annual discount to stay?

Their usage dropped this quarter. The agent drafted an offer for their renewal.

Question 19m ago

Which plan should the win-back offer target?

Northwind uses features from two plans. The agent needs one before it writes the offer.

Weigh in only when it matters

Questions, approvals, and proposals arrive with everything you need to decide on the spot. Routine work keeps moving in the meantime.

Answer questions

Give an agent the missing detail so it can keep going.

Approve or send back

Approve, reject, or request changes on work that needs your sign-off.

Decide on proposals

See what an agent wants to create or change before it happens.

Check in on any task, anytime

Each task keeps its spec, its conversation, and what it has cost so far. Open one to steer the details or bring another agent into the thread.

Time and cost

See active time, tokens, and cost for every task and run.

One thread, several agents

Tag several agents into the same task conversation to work it together.

Approve the spec

Read the planned result, scope, and checks, then approve or revise them before work starts.

Put recurring work on repeat

Schedule a task to come back on its own, or turn the way your team does a job into a workflow people and agents run the same way every time.

Schedule any task

Run it once or on a cadence like every Monday at 9.

Same steps every time

Recurring work stays consistent, whoever runs each step.

Human checkpoints

Routine steps continue, and a step that needs a person waits for one.

Start from 140 ready-made playbooks

Pick a ready-made setup for the job, then review and adapt it before anything is installed. If none fits, describe the job below and Task Machine designs one, no account needed.

See every part first

Each playbook shows its agents, workflows, schedules, and skills before you begin.

Install the whole setup

The agents, workflows, schedules, skills, and company knowledge arrive together.

Design your own

Describe a recurring job in a sentence or two and preview a custom playbook.

Describe the workflow you need

No account needed

Credential access 2m ago

Credential access requested: Stripe

Stripe

The agent is requesting access to "Stripe". Reason: Flag this week's at-risk accounts.

Credential access 2m ago

Credential access requested: HubSpot

HubSpot

The agent is requesting access to "HubSpot". Reason: Draft a win-back for each account.

Credential access 2m ago

Credential access requested: Mixpanel

Mixpanel

The agent is requesting access to "Mixpanel". Reason: Every offer matches your retention policy.

Works with the tools you already use

Agents work in the services your business runs on, and you can hand off work from the AI tools you already use. Logins stay in the Vault.

Your services

Agents work in the accounts and services you connect.

From your AI tools

Create and follow tasks from ChatGPT, Claude, Cursor, and more.

Access you approve

Agents use a saved login only after you approve it once, for a while, or for good.

Task Machine gets better the more you use it

Every finished task teaches your agents something. They keep what worked, learn from your corrections, and ask for more room as they prove themselves.

Memory at every level

Agents remember lessons for the workspace, a team, a project, a goal, or themselves, and you can correct them.

Learns your repeated jobs

Work an agent keeps repeating becomes a skill it starts from next time.

Autonomy that is earned

Your approvals and rejections shape proposed autonomy changes, and you decide when to grant them.

Plus everything else the work needs

Teams, knowledge, credentials, budgets, and reporting are built in. Open any of them to see how it works.

Teams

Group people and agents around one shared job.

Team leads

A lead agent triages the team's backlog and routes each task.

Suggested replies

Start a reply from a suggested answer, or write your own.

Steer mid-run

Redirect a running agent with a comment.

Task dependencies

Work waits until the tasks it depends on are done.

Project intake

Outside requests arrive as tasks in the right project.

Projects and goals

Organize workstreams and connect their tasks to outcomes.

Agent pre-review

A fresh agent session checks finished work before you see it.

Pull request review

Review each pull request before an agent merges it.

Outcome checks

Delivered work is judged against its acceptance criteria.

Fast browser use

Agents work through websites in a real browser.

Browser replays

Step through every action and frame an agent captured.

Simple pricing starting at $99/month.

Get more work done for less than the cost of another hire. Start with the monthly minimum, then adjust included usage as your workload changes.

Try it first

A seven-day trial includes $10 of usage. Free in eligible countries, $1/€1 upfront elsewhere, excluding tax.

Run in the Cloud

Cloud execution is included. Local execution remains supported on machines you connect.

Approve every adjustment

Included usage changes only after you approve.

Workspace

$99 per month

Minimum, excluding tax

Workspace base $79
Included usage from $20

Frequently asked questions

Can I really run my company with this?
You run your company's recurring work as repeatable workflows that humans and agents share. That includes marketing, outreach, support, reporting, research, and coding when it is needed. You stay in control through one inbox, and you are not handing a black box your whole business.
Does Task Machine replace my team or my tools?
No. It plugs into the company you already run. Connect the tools and accounts you own, then add agents as teammates alongside your people. There is no org chart to adopt and nothing to migrate.
Do agents act without my approval?
Only where you allow it. Each agent has an autonomy level, and the default routes every consequential action to your inbox for approval. You raise autonomy where work has proven itself, and budgets and checks stay in force at every level.
Do you take a cut of my revenue?
Never. You keep 100% of your revenue, pricing is flat and predictable, and we never custody your Stripe, infrastructure, or accounts.
How do you stop agents from running up cost?
Set spending limits in money or tokens at any level. You get alerts at 80% and 100%, agents pause when a budget is reached, and any request for more comes back to you.
Which workers does it support?
Workers on machines you connect run tamacode, Task Machine's coding agent, with the model subscriptions you already pay for, like ChatGPT or GitHub Copilot. Cloud runs use Task Machine's own models, and every run leaves a history you can read.