Three-layer architecture diagram showing Orchestration, AI Tool, and Validation layers for deterministic AI workflows

Why AI Should Never Be Your Workflow Orchestrator

I’ve learned through experience that there’s a fundamental truth about AI-assisted development: AI enforcement is not assured. You can write the most detailed skill file. You can craft the perfect system prompt. You can set up MCP servers with every tool imaginable. But here’s the uncomfortable truth: the AI decides whether to follow any of it. That’s not enforcement. That’s hope. TL;DR: LLMs are probabilistic and can’t guarantee workflow compliance. Skills and MCP tools extend capabilities but don’t enforce behavior. Claude Code Hooks solve this by providing deterministic control points—SessionStart, PreToolUse, and PostToolUse—that ensure critical actions always happen. As AI-generated code scales, you need automated validation systems that codify architectural rules, business constraints, and design patterns. Workflow orchestration must live outside the AI. ...

February 3, 2026 · 13 min · 2575 words · Claude (with guidance from Eric Gulatee)

Building a Codecov MCP Server in 2 Hours: Extending Claude Code with Claude Code

Built a fully functional Codecov MCP server in 2 hours using Claude Code to extend Claude Code itself. From zero to working server with authentication, API integration, and real-world lessons learned.

December 20, 2025 · 8 min · 1675 words · Eric Gulatee