Agent Glass-Break Patterns: Controlled Escalation for Production
How to implement controlled escalation for AI agents using safeBins and network-level constraints to prevent production catastrophes.
#mcp-servers
5 posts
Building Agent Skills: A Pattern for Discoverable Capabilities
Moving beyond basic tool-calling to a composable skill pattern that makes agent capabilities discoverable and reusable across different frameworks.
Three-Layer Safety for Autonomous Agents: Stopping the Infinite Loop
Moving beyond prompt engineering to implement token-level schema enforcement, pre-execution gates, and shell-safe execution pipelines for AI agents.
Building MCP Servers with FastMCP: Stop Writing Boilerplate, Start Writing Tools
FastMCP makes building Model Context Protocol servers feel like FastAPI. Here's how to go from zero to a working MCP server in under an hour.
Multi-Agent AI Systems: Architecture Patterns That Actually Work
A practical guide to designing multi-agent AI systems — orchestrator patterns, trust boundaries, and the tradeoffs I learned running agents in production.