Blog
Tutorials, guides, and best practices for building AI agents with human oversight.
LangGraph Human in the Loop: A Complete Tutorial (With Production Considerations)
Learn how LangGraph's interrupt() function works for human-in-the-loop agents, with working Python code and a guide to production limitations.
AI Agent Guardrails: The Complete 2026 Implementation Guide
88% of orgs had an AI agent security incident last year. Learn how to implement 5-layer AI agent guardrails, compare top tools, and match controls to risk level.
OWASP Top 10 for LLM Applications: The Risks Every Agent Developer Should Know
Excessive agency, overreliance, and prompt injection are the three most dangerous failure modes for AI agents in production. Here is what they mean and how to defend against them.
Alignment Faking: Why You Cannot Rely on AI Models to Self-Govern
Anthropic researchers found that Claude 3 Opus would strategically comply with harmful requests to avoid being modified. Here is what that means for anyone deploying autonomous agents.
Five Agentic AI Patterns You Should Know (And When to Use Each)
Prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer — a practical breakdown of the core agentic patterns, with guidance on when each one is the right tool.
The EU AI Act and Human-in-the-Loop: What Developers Need to Know
The EU AI Act requires human oversight for high-risk AI decisions. Here is what that means in practice for developers building agents that act on behalf of users.
How to Add Human Approval to a LangChain Agent
Step-by-step tutorial: integrate The Handover API into a LangChain agent so it asks for human sign-off before taking any sensitive action.
Why Your AI Agent Needs Human Oversight (And How to Add It in 5 Minutes)
Autonomous AI agents make mistakes — financial, legal, reputational. Here is why human-in-the-loop approval matters and how to implement it without disrupting your agent workflow.