Blog
Guides and tutorials on AI agent governance, human-in-the-loop approval, and building safe agentic systems in production.
Building a LangChain agent with runtime guardrails: a complete walkthrough
A step-by-step guide to building a LangChain customer support agent and hardening it for production — adding policy enforcement so it can't issue unauthorized refunds, email the wrong recipients, or take irreversible actions without human approval.
Read moreThe production AI agent stack: tools and infrastructure you actually need
Getting an AI agent to work in a notebook takes an afternoon. Getting it to work reliably in production — with real users, real money, and real consequences — takes a different category of tooling. Here's a practical map of the full stack: frameworks, memory, observability, safety, and infrastructure.
Read moreWhy prompt guardrails aren't enough: the case for runtime enforcement
Every major AI safety approach today operates at the text layer: filters, classifiers, system prompts, constitutional rules. None of them touch the thing that actually causes damage, which is the tool call. Here's why that gap matters, and what runtime enforcement does differently.
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