01 · Seed round, 2026

Agent Base

Where a specialist's agent becomes something anyone can run in one click.

Hector Ramos, Founder · nix@nix.cm · San Juan

Download the deck (PDF)

02 · The problem

Agents have no distribution.

Every good agent is on one person's laptop. Someone spent three weeks getting it right, and there is no way to hand it to the next person.

What gets shared is the prompt — the recipe, not the kitchen. So the next person starts over, the specialist answers the same question again, and nobody's work compounds.

03 · Why it happens

An agent doesn't fit in a text box.

Ask someone for their agent and all they can send you is the prompt. The prompt is the smallest part of it.

The tools

Installed, versioned, working together — not a list of names.

The files

The examples and data it learned the job from.

The browser

Logged in, with real sessions — not a screenshot of one.

The setup

Set up the way that finally worked, after a hundred tries.

So the prompt is what gets sent, and the next person rebuilds everything else from scratch.

04 · The solution

Agent Base sends the whole machine, not the prompt.

The agent gets its own computer on hardware you own. Everything it needs lives inside — so the whole thing becomes one file you can hand to somebody else.

Create

Build the agent on a real computer. Its tools, files, browser and setup, all in one image.

Run

It boots on hardware you own and answers on your own network — a browser, a phone, a screen on a desk.

Sell

That same disk becomes a listing. Signed, versioned, priced, installable in one click.

Create and run is the product. Distribution is the business.

05 · The marketplace

A marketplace where the listing is the machine.

Three weeks, once

Build

Get one agent right, once, the way you already do.

Minutes

Publish

Its whole disk becomes a listing. Signed, versioned, priced.

One click

Install

One click and it boots on the buyer's machine, already doing the job.

3 weeks → 1 click. The specialist builds it once. Everybody else installs it. That is where the work finally compounds — and we take 20% of every sale on the shelf.

06 · How it works

How it runs on your own computer.

A launcher

A small program on your computer. It starts and stops agent computers.

A whole virtual computer

Sealed off, with the agent built into it. Its programs, its browser, its files.

You open it in a tab

From a laptop or a phone. What you are looking at is the agent's own computer.

Why now: every computer people already own can run a second computer inside itself, for free — Mac, Windows and Linux all ship it. And the models only recently got good enough to do the job instead of describing it. Two years ago there was no agent worth selling, and no cheap way to deliver one.

07 · Who publishes first

Anybody who is good at something. Agencies go first.

What makes an agent good is knowing the trade, not knowing the model. We cannot hire that. We have to reach the people who already have it — and they publish because they earn, not because we pay them.

They have the trade

Knowing the job is theirs, not ours.

They already sell

No market to teach. A new shelf for what they already price.

Building twice is their problem

Not a favour. Publishing once beats rebuilding per client.

Each arrives with clients

One publisher lands many installers. That is the whole cold start.

This is what the 35% marketing line buys: getting in front of these people where they already work, so the shelf is something they have heard of before they need it.

08 · Where we are

The machine is built. The shelf is opening.

3 users — private beta, invite-only, running agents on their own hardware today.

Agents on the shelf, installs and publishers are the three numbers this round is meant to move, and the only three worth reporting next time.

09 · Business model

We sell the machine. We tax the shelf.

Free

$0

One computer.

Subscription

$50 / mo

Unlimited computers. $500/yr annual.

Lifetime

$250

Paid once. A launch offer, for a limited time — priced to bring the first users in, and closed once the shelf is stocked.

20% of every agent sold on the shelf — the line that grows without us building a single agent.

10 · Growth

The arithmetic, not a slice of a pie.

What this round buys

100 agents published
25 publishers earning
1,000 installs
by February 2028

Marketplace revenue at that point is small on purpose: this round buys proof that the shelf moves, not a revenue line.

Three years out

1,000 agents × 200 installs × $99 × 20%
= $4.0M marketplace
10,000 subscribers × $50 / mo
= $6.0M subscription

≈ $10M ARR

The lever is installs per agent, not the number of agents. And once an agent is a server on hardware you own, anything can be its client — a browser, a phone, a ten-dollar screen on a desk. The shelf sells the agent; the clients multiply on their own.

11 · Team

Why us, for this.

Hector Ramos

Founder — BSc in Computer Science, and three years building AI solutions for businesses across multiple industries.

Platform engineer

New hire. Install and publish have to be boring before anybody trusts the shelf.

Publisher engineer

New hire. Sitting with the first publishers while they port the agents they already have.

Built alone: the app on two platforms, the agent image pipeline, the publish path, and payments that survive a refund and a duplicate charge notice.

12 · What we need

What we need

$1.2MSAFE, $10M post cap

18 months to fill the shelf: 100 agents published, 25 publishers earning, 1,000 installs by February 2028.

45%

Engineering — two hires. Publish and install have to be boring.

35%

Marketing — reaching the specialists who already have agents, and the buyers who install from them.

20%

Operations — infrastructure, signing, legal.

The risk here is not building it. It is that nobody publishes — which is why marketing is a line and not a footnote.

Hector Ramos · nix@nix.cm