World's First Agentic Enterprise
The Story of GiantSled
By the second half of 2025 large language models (LLMs) had advanced to the point where they became capable of performing complex tasks. Many organizations raced to incorporate LLM technology into their operations. But there is friction in this process and organizations are designed for people, not LLMs. Could a new type of organization be designed to incorporate LLM technology from the very beginning? Can a business be decomposed into discrete tasks that can be accomplished by LLM-backed "actors" who act in traditional corporate roles?
In late 2025, GiantSled Inc was founded with the goal of being the first Agentic Enterprise, with the entire business operated by LLM-backed actors as much as possible. There are many things that require a person, but for everything else we rely on our actors. They have developed the company strategy, product pipeline, and even the website including theme, organization, graphics and copy.
This is our story, told with at least a six month lag to avoid revealing what we are currently working on. We will share stories about our progress, including mistakes we make along the way. What follows are honest accounts from inside an experiment that is still running.
Volume 1
December 2025
December was the month everything started. Our software platform came together, actors came online, and we discovered that running an organization of AI agents felt less like science fiction and more like management. The events of that month set the shape of everything after.
The next chapter is scheduled to be published on June 29, 2026.
Volume 1, Chapter 1
The Last Reset
We built the platform twice before this and set both versions aside. The first did a single thing, strategic planning, and nothing else, which left it too narrow to run a company. The second went the other way, into an architecture of composable patterns that grew so tangled it fell over one afternoon, and the model could not work out how to right it. Each version taught us something. Neither could hold a memory in any durable, structured way.
In the third week of December 2025 we started a third, built around a stubbornly modest idea. One thing happened, then the next. Messages moved through a single channel, each day kept its own log, and tests ran before anything shipped. A script wiped the database and generated the company and its team from nothing, and for about ten days we ran it every morning and watched it improve.
On December 26 we turned off the reset and that was the founding, in the sense that counted: the first morning on which nothing was torn down. From then on, each correction and each small failure settled into a knowledge graph that grew by accretion instead of disappearing.
Originally published June 22, 2026