Tell it what you want, in plain language
Point an agent at a phone and describe the job: “warm up this TikTok account around fitness,” or “post this carousel.” No scripts, no menus — just the goal.
How it works
How BoostLayer runs your social media on real iPhones
An agent learns each app once — like a person would. Then a tiny model runs it cheaply, across a fleet of real phones, 24/7.
Demo video coming
The pipeline
Learn once. Run cheap. Scale across phones.
It explores the app like a person
The first time through, a capable model drives a real iPhone — reading the screen, tapping, and backtracking from dead ends until it understands the flow. No API, no scraping. It just uses the phone.
It captures a reliable, repeatable skill
Once the flow works, the agent distills it into a concrete, repeatable skill. This learn-once step is the slow part — about an hour for a brand-new flow. You pay for it a single time.
A tiny model runs it — for pennies
From then on, a small, fast model replays the skill: find the element, drive the input, verify the result. No expensive model in the loop, so running it thousands of times stays cheap and stable.
The same skill, across a fleet
That skill now runs across many real iPhones in parallel — on TikTok, Instagram, YouTube Shorts, LinkedIn, and X. And every new edge the agent meets becomes the next ready-to-run scenario.
Why real iPhones
The hard part is also the moat
Real device behavior
Actions come from a real iPhone, the way a person taps and swipes — not a bot hammering an API.
Sees what a human sees
The agent reads the actual screen. If a human can do it on the phone, the agent can automate it — no fragile integrations.
The library compounds
Every flow the agent learns becomes a reusable skill. The set of things BoostLayer can do reliably only grows.
Every channel
Hardened, ready-to-run scenarios
TikTok
Instagram
YouTube Shorts
LinkedIn
X
Browse use cases →
Put it to work on your channels
Tell us your channels. We bring the iPhones, the skills, and the scale.