How it works

An autonomous marketing agent on a real iPhone

You describe a task. Our model learns how to do it once on a real iPhone, saves the steps as a skill, then runs it cheaply on its own.

See use cases
Demo

Watch the agent work.

The system

The system at a glance

You — or your agent — reach BoostLayer through two front doors: a platform UI when you don’t want to think about agents, and a CLI when you do. Everything lands on a real iPhone, and that’s all the social apps ever see.

Tech dive

The whole system, in five minutes

Slava, our CPTO, walks the system end to end: why a real iPhone, the hardware that drives it, and what happens the first time an agent learns an app versus every run after.

  • The system map — every layer in one picture
  • The control hardware, from a fleet of boards to a single Mac
  • Learn once, distill into a skill, replay for pennies
The pipeline

Learn it once. Run it cheaply, forever.

The agent layer

Bring the agent you already use

We didn’t build another agent — you already have one. BoostLayer is a CLI: anything that can run a command can drive a phone. Your agent calls it like any other tool.

In production today
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In active build
REST API MCP server

Once the API is live, any agent that can make an API call is enough to drive BoostLayer.

Deployment

Three ways to run it

Our facility

We run everything

iPhones we own, in our facility. We manage the devices and the accounts — you bring content and goals.

Your fleet

Your phones, our stack

You own several iPhones. Our control stack drives all of them from a single server.

Your phoneBeta

One iPhone + a Mac

A Mac app drives your single iPhone. Nothing to install on the phone.

Same skills, same agents, same platform — on all three.

Facility & fleet

The phone just sees a keyboard

An ESP32-S3 board presents itself to the iPhone as a USB keyboard and mouse. Our server sends taps, swipes, and typing through it — hardware-level input, indistinguishable from a person at the screen.

  • Nothing installed on the phone — just a standard accessory protocol Apple already supports
  • One board per iPhone, paired one to one — a single server drives all the pairs in parallel
  • Each board costs a few dollars, so the fleet scales sideways
Single phone · beta

One iPhone? Your Mac drives it

A Mac application pairs with your iPhone as a Bluetooth keyboard and mouse — the same control layer as the fleet, with zero extra hardware.

  • Your credentials stay on your phone — the Mac sends input, it never holds your logins
  • Nothing installed on the iPhone — standard accessory pairing, like any keyboard
  • Runs while you work, on the phone sitting next to you
Why real iPhones

Social apps don’t have an API for what matters

No bot signals

Web tools leak the tells platforms watch for: datacenter IPs, headless browsers, fake user agents. A real iPhone has none of them. It behaves like a normal phone because it is one.

Sees what you see

The agent reads the actual screen and taps like a person. No API, no scraping, no fragile integration to break. If you can do it on the phone, the agent can run it.

The skill library grows

Every flow the agent learns becomes a saved skill you can reuse and run in parallel. The set of tasks BoostLayer can do reliably only gets larger over time.

Every channel

One agent, every app on the phone

The same pipeline runs across your channels, plus any other iOS app. Each skill is learned once, then ready to run.

TikTok
Instagram
LinkedIn
X
Reddit
YouTube Shorts
What’s next

If it runs on iOS, your agent runs it

01

A fully independent fast model

It understands a screen instantly and decides where to act — so new scenarios launch in minutes, not hours.

02

Domains beyond social

Price checks, bookings, any workflow that only exists in an iOS app. The principle stays the same.

03

REST API + MCP server, GA

Once the API is generally available, any agent that can make an API call can drive BoostLayer.

Get started

Put it to work on your channels

Tell us your channels. We bring the iPhones, the skills, and the scale. From $99/mo.