AI Agents & Orchestration
Deep explorations into autonomous agent loops, prompt compiler architectures (DSPy), deterministic guardrails, and production multi-agent systems.
2 Field Notes
AI Agents & Orchestration
Deconstructing Multi-Agent Consensus: Evaluator-Optimizer Loops vs Linear Chains
Why monolithic prompt chains degrade on complex tasks, how iterative evaluator-optimizer topologies converge, and practical patterns for production multi-agent systems.
AI Agents & Orchestration
Hardening Model Context Protocol (MCP) in Production & Regulated Environments
How to architect secure, audited MCP gateways for enterprise agent swarms: authorization scopes, rate limiting, and 21 CFR Part 11 compliance.