AIThis post was created with the assistance of artificial intelligence (AI).

For readers curious about what AI can do beyond powering a gadget, AI Company Emulator offers a public replay of AI agents running GewerkTon, a real construction site app. It turns business automation into something readers can watch unfold, with decisions visible along the way. The replay is an emulation: customers, deals, revenue and all figures after day 0 are simulated, not real business results.

Before you orderOffer from Amazon

Get the latest gadgets delivered free with Prime

  • Fast, free delivery on millions of items
  • Prime Video, Amazon Music and more included
  • Member-only deals all year
Start your free Prime trial Free trial for eligible customers · Cancel anytime
As an affiliate, we earn on qualifying purchases.

How it works: Each role in the company is its own AI agent — product, engineering, pilot success, business development and finance. The world around them is simulated too: prospects answer (or don’t), pilots send feature requests with deadlines, and customers get impatient when promises slip. The team notices, decides, acts and learns; every business day is a git commit that the replay walks through. A live feed shows each decision, an office map shows who is working, and a timeline lets you jump to any day.

Simulated replay running from day 38 to day 44: the counters change while the emulated AI employees work and post decisions in the live feed
The replay in motion: days 38 to 44 of the emulated run. Everything after day 0 is simulated.

The starting point is real: the run starts from GewerkTon’s actual state — one founder, an experienced site manager testing the app in beta, and no customers. Everything after day 0 is emulated, and the page says so on every screen.

What the replay shows: in the current run (days 1–44, as of 30 September 2026) the team wins its first pilot on day 6, ships its first requested feature on day 16, and on day 44 turns a pilot into the first paid licence. Along the way it gets stuck — reviews that reject everything, offers that never get recorded — and the founder steps in with short directives that you can read in the feed. That is the point: you see not just the wins but where an AI team stalls and what unblocks it.

Diagram of the simulated replay: GewerkTon's real starting state goes into the AI Company Emulator; simulated releases, pilots and a live feed come out
What goes in is GewerkTon’s real starting state; everything that comes out is simulated.

What it isn’t: a customer case study. The companies, deals and figures after day 0 are simulated, not real GewerkTon traction — the replay is an honest look at how an AI workforce behaves when it runs a real product’s business.

The emulator behind it is Firmulate (firmulate.com), which runs AI models as complete companies — with crises, money mechanics and temptations — and scores management quality, not chat quality. Watch the GewerkTon replay at aicompanyemulator.com.

You May Also Like

9 Best Compact PCs For Handling AI Workloads Locally In 2027

A nine-PC buyer’s guide compares memory, processors, storage and ports for local AI, while noting that independent benchmarks are not provided.

Shopify Is Moving From React Native Back To Swift And Kotlin

Shopify is shifting from React Native back to native app development using Swift and Kotlin, signaling a strategic change in their mobile app approach.

Charles Black Leads C2QA Research On Scalable Quantum Computing

Brookhaven’s C2QA, led by Charles Black since June 2025, is using materials science — including tantalum qubits — to push toward scalable, fault-tolerant quantum computing.

YouTube Report Examines Mainstream Culture

A recent YouTube report analyzes how mainstream culture is shaped and reflected on the platform, highlighting key trends and influences.