The evolution of the global economy is shifting from a focus on labor to a focus on orchestration. At Entonomy, our mission is to provide the operating system for this post-labor era. We are building a platform that enables a single human governor to deploy and manage Zero-Person Companies (ZPCs), fully autonomous enterprises capable of coding, marketing, and scaling themselves without a traditional headcount.

The Evolution of the Autonomous Enterprise

Our focus has been to develop the deepest possible knowledge base on the architecture of the Al-Driven Enterprise (AIDE). This commitment ensures we are positioned to leverage the latest advancements in AI technology, such as $1M-token context windows and self-healing code models.

Our journey began last summer with the development of a self-generative system where agents determined their own next steps based on long-term business goals. This experiment, known as "Company Zero," successfully achieved a unit-profitable sale to a human customer with zero employees. However, early experimentation taught us a key lesson: the technology at that time faced limitations in reliable orchestration.

Rather than iterating on a limited foundation, we utilized our research to rebuild. In just three weeks, we developed a comprehensive platform for the creation, deployment, and operation of ZPCs. This rapid development cycle was only possible because of our dedicated focus on the "Grand Challenges" of autonomous business: Self-Generative DevOps, Deterministic Governance, and Cross-Functional Agent Swarms.

The Framework: The Foreman Autonomous Loop

The core of our new approach is the Foreman Loop, a flagship feature that transforms Entonomy from a task platform into a true autonomous orchestration system. This system continuously monitors a work backlog (such as agent-defined tasks and GitHub Issues) and executes tasks without human intervention through a six-phase cycle:

1. Observe: Scanning issues and checking budget constraints.

2. Decide: Prioritizing work and selecting tasks via an AI-powered engine.

3. Plan: Creating a detailed task proposal.

4. Execute: Running the task flow engine.

5. Evaluate: Performing quality checks and follow-ups.

6. Report: Closing issues and providing feedback.

To ensure these companies operate responsibly, we have implemented strict Deterministic Governance. This includes a platform-wide API usage tracking system that provides per-company analytics and daily/monthly breakdowns of costs and token usage. For example, the Foreman Loop currently operates with a default daily budget cap of $10.00 USD to ensure financial guardrails are maintained.

Grounding AI in Proven Business Logic

A critical component of our platform is the conversion of the 24 Disciplined Entrepreneurship (DE) framework steps from human-oriented tasks into AI-agent executable modules. By replacing manual processes like "interviewing customers" with "analyzing available customer data and reviews," we provide agents with concrete tool instructions rather than abstract goals.

This technical foundation is supported by several key infrastructure updates we shipped this week:

• Single Company Repositories: Consolidating work into one GitHub repository per company to ensure all agents share a unified codebase context.

• AI-Powered Onboarding: Utilizing Claude to generate five targeted clarifying questions, ensuring the resulting strategic plans are based on deep, specific context.

• Task Dependency Systems: Ensuring that complex workflows respect prerequisite orders, preventing execution errors.

Looking Ahead

The velocity of our recent development, including adding over 13,600 lines of code and six new services this week alone, underscores our belief that by 2030, the most valuable companies in the world will have a headcount of zero.

We are currently focused on production hardening, including the deployment of the Foreman Loop to production environments and the implementation of Agent Memory Persistence to allow agents to learn from successful executions.

Would you like me to draft a series of technical deep-dives into the six phases of the Foreman Loop for your engineering blog?