Business-as-Code

How to turn implicit organizational knowledge into structured assets that AI agents can read and act on.

• From Documentation to Executable Context: The Encoding Process
• The Knowledge Audit: How to Find and Prioritize What to Encode
• The Tribal Knowledge Problem: Why AI Can't Access What Your Team Knows

BUILD → OPERATE → LEARN → BUILD deeper. How AI agent systems improve themselves through continuous operation.

• Measuring Recursive Improvement: What to Track
• Self-Improving AI Systems: How Business-as-Code Compounds
• The BUILD → OPERATE → LEARN Cycle Explained

How to define what your business IS using JSON schemas that both humans and AI agents can understand.

• 10 Real Business Schemas from Production Deployments
• Designing Business Schemas: A Practical Guide
• What Are Business Schemas? Structured Definitions for AI

How to encode domain expertise and decision logic as markdown documents that AI agents can read and execute.

• 10 Real AI Skills from Production Deployments
• Skills vs. Prompts: Why Documents Beat Instructions
• What Are AI Skills? Domain Expertise as Documents
• Writing Your First AI Skill in 15 Minutes

The paradigm: schemas, skills, context. How to make your business AI-readable.

• Business-as-Code Explained: The Complete Introduction
• Business-as-Code for Non-Technical Leaders
• Business-as-Code vs. Traditional Operations: What Changes