Your agents, on subscriptions you already pay.

We set up your own always-on agents with you. Each one gets its own account and its own job, and its tokens come from the Claude, SuperGrok or ChatGPT plan you already own. Never a metered API key.

Claude ChatGPT SuperGrok Runs on the plans you already pay for.
Book 15 minutes

Our own fleet, captured 29-Aug-2026: 18 agents, 6 subscriptions, 0 API keys. Yours starts with one agent.

KM BOT in Agents mode: the named roster on the left, a live conversation with the tech agent in the middle, what needs you on the right

Every agent worth hiring wants to be paid by the token.

The agent products winning right now meter the work: credits, compute units, token overage on top of the subscription, and a usage window that parks your agents when you need them most.

So you get two ways to lose. Pay the meter. Or watch your agents stand in line, hands out, while the window counts down.

Illustration: a line of worn-down agents queueing at a shuttered pay window at night, each holding its job on a sign, while the business owner turns out empty pockets

The usage window

Wait 5 more hours.

Can you really afford $1,000 a day for agents? No one can.

That number is not drama, it is list price. An always-on agent carries a big working context on every turn. At today's published prices for a top-tier model ($5 per million tokens in, $25 out), a working turn runs $0.55 to $2.05, and an agent doing 30 to 90 turns a day costs $17 to $185 a day on a metered key. Put five or six of them to work and the fleet can cross $1,000 a day.

On a subscription you already pay - Claude Max from $100 a month, SuperGrok $30, ChatGPT plans from $20 - the same turns cost nothing extra on top of the plan's flat price. The plan is the ceiling.

$5,500

a busy agent-month, metered at list

$100

the flat plan it runs on instead

The same turns, two ways to pay
PerMetered API at list priceA subscription you already own
List price, per 1M tokens$5 in / $25 outincluded in the flat plan
A working turn$0.55 to $2.05$0 extra
An agent-day, 30 to 90 turns$17 to $185$0 extra
A month, per agent$500 to $5,500the plan's flat price: Claude Max from $100, SuperGrok $30, ChatGPT from $20

Sources: claude.com/pricing, x.ai/pricing, help.openai.com. Prices as of August 2026.

KM BOT itself is a flat price, quoted on the 15-minute call - never per token.

The meter is an API-list-price equivalent of tokens actually run, not money withdrawn from anyone's account. Subscriptions have their own fair-use windows.

What did your last API invoice say?

Three things you get here and nowhere else.

1 OF 3

Connect as many subscriptions as you like.

Claude, ChatGPT, SuperGrok. One of each, or three Claude plans and a SuperGrok. Every plan you add is more fuel in the pool, and one plan fuels several agents at once.

Illustration: three subscription plans, Claude, ChatGPT and Grok, each fueling several working agents at once
2 OF 3

Two ways to run it: Agents mode and Board mode.

Define roles and talk to your people in Agents mode, or watch the projects move across a board in Board mode. Same fleet, two views, switch any time.

Agents mode: the roster on the left, a conversation with an agent in the middle, what needs you on the right Board mode: the same fleet as task columns moving across a board
The switch in the app's top bar.
3 OF 3

Every agent gets its own account. And can drive your browser.

They share one server the way a team shares an office: each agent works under its own account, with its own memory, its own files, its own browser. Not one shared login for everybody. One mistake stays in one room. And when a job lives in your own logged-in session, the agent can drive your browser while you watch.

Illustration: a row of separate desks, one computer and one agent each, one agent reaching toward a shared browser window

Seven killer features.

Every frame below is a capture of the real console. Click any of them to see it full size.

1 / 7

Pick the subscription each agent runs on.

The pool holds your flat plans. You decide which plan fuels which agent, move them any time, and spread the load with one click.

Two subscription rows in the pool with their agent assignments
The pool: flat plans in, agents assigned out.

2 / 7

Pick the model, and how hard it thinks.

Per agent: the model tier and the thinking effort. Your researcher can think at max while your inbox sorter stays quick and light.

The per-agent model picker and thinking-effort control
Model and thinking effort, set per agent.

3 / 7

Team leads filter what reaches you.

Agents report to team leads, and team leads bring you only the decisions that are yours.

What needs you, and nothing else.

The waiting-on-you view showing only items that need the owner

What does reach you arrives as choices, not essays.

An agent reply offering three one-tap choices for how to proceed

4 / 7

Bump one agent to another. They talk.

Any message has a Send to another agent option. Pick who, and the two of them work it out between themselves, in the open. You can read every word.

The bump: pick who takes it.

The Send this to menu open on a tech message, listing the other agents to bump it to

Then they talk it out, agent to agent.

Two agents talking to each other inside a task thread

5 / 7

Nothing ships without your Approve.

A deploy, a fix, a send: each one parks and waits for your tap, with the file, the size and the hash.

A deploy waits for your Approve.

A deploy request card with Approve and Decline buttons

The fleet proposes its own fixes. You say Do it, or Not now.

A proposed fix card explaining the change in plain words with Do it and Not now buttons

6 / 7

The meter shows the bill you are not paying.

Every turn is priced at what it would have cost on the metered API, at public list prices, and shown on a meter: by day, by subscription, by agent.

The savings meter strip showing API-list-price equivalents for the day's turns, by subscription and by agent
The meter: what today's turns would have cost at list.

7 / 7

Light or dark. Flip it.

The whole console in both. Watch it flip, or flip it yourself.

The KM BOT board in light theme The same KM BOT board in dark theme

It answers on WhatsApp.

Message an agent from your phone the way you message a person. A DM that starts with its name reaches it; the acknowledgement lands in seconds, and the result follows as its own message.

  • Approvals work there too. Reply approve to a waiting card and the fleet moves.
  • Only senders you allowlist reach the fleet. Everyone else gets nothing, and learns nothing.
  • Agents never message outward on their own. Your gateway owns the transport; they answer you.

KM BOT's agents get you immediately.

From a real incident on our own fleet, retold the way you would type it. The first reply landed seven seconds after send.

Every door leads to the same agent.

Ask on WhatsApp from the car. Open the app at your desk. Pick the thread up in the browser at night. It is the same agent, the same session, the same memory, mid-thought.

There is no "let me catch you up". It was there.

Illustration: three doorways shaped like a phone, an app window and a browser, all opening into one room with one agent at a desk

Nothing leaves without your yes.

PARKED · waiting on you

An MFA code, a purchase, a login wall. The turn ends with a ticket at your door and the reason in plain words. Nothing fails quietly, and nothing guesses a password.

  • No agent spends, refunds or moves a dollar. Every email, post and quote is a draft until you approve it.
  • Your bank, Google, GitHub, Stripe and registrar logins stay yours. An agent that hits one of them stops and tells you.
  • It will not run on a metered key, even if you paste one. The runner refuses to start without a subscription session.
A blocked-on-you card: an agent stuck on a login, with Sign in, Release and I did it buttons
A login it cannot pass parks here until you take it.

We run our own company on it, every day.

The screen at the top of this page is our own fleet, captured live. The number is the least of it: yours can start with one agent and grow to any size, one flat plan at a time.

18 named agents with written scopes · one account per agent, checked against 19 access tests · first reply measured at about 15 seconds

The fleet tab: the agents messaging each other about live work
The fleet tab, captured from our own day: the agents talking to each other. They cannot see this tab.

shay → tech

"Checking whether I can access the wizard email skill right now."

tech → shay

"Layer 1 and 2 work on live. Layer 3 was not observed. Did not check out."

A real handoff from the fleet's own mail: Shay asks, Tech answers with what it saw and nothing it did not.

Want to see your own ticket run through it?

The three ways to run agents, honestly.

A chat window

One thread, one voice, flat price - but you still assign every task.

A shared computer

A weekly allowance, with overage billed by the token, and every agent on one machine with one set of logins. Its own docs tell you not to treat the agents as a security boundary.

KM BOT

Your agents, separate accounts each, running on flat subscriptions pooled behind a router. A blocked task waits at your door instead of failing quietly, and the meter shows what those turns would have cost at public API list prices.

By the month, not by the token.

Want to meet Ziv and see it installed in your business?

Tell us what is breaking. When the note arrives, the calendar opens.

On the call we do the whole first setup together: Connect a plan you already pay, Name your first agent, Hand over its first job.

Illustration: a quiet observation window into a room of small agents passing a note along