Writing on humans in the loop.
Practical guides and patterns for the moment an AI agent needs a person: pausing agents for approval, wiring reviewers into LangChain, LangGraph and the OpenAI Agents SDK, and what managed human validation looks like in production.
Human in the Loop Patterns for AI Agents
· Patterns · 9 min read
The four human in the loop patterns behind every reliable AI agent — approval gates, review queues, escalation, and human owned decisions — and when to use each.
Human in the Loop for LangChain Agents: A Practical Guide
· Integration · 10 min read
How to pause a LangChain or LangGraph agent for human input with interrupt(), resume with Command, and wire the human side to a real reviewer over an API.
Human in the Loop with the OpenAI Agents SDK
· Integration · 8 min read
Using needs_approval, interruptions and RunState to pause OpenAI Agents SDK tools for human approval — and what to do when the human is not sitting at the keyboard.
LangGraph Human in the Loop with FastAPI
· Integration · 11 min read
A worked example of async human approvals: LangGraph interrupts checkpointed behind FastAPI endpoints, resumed by webhook when the human answers.
Human in the Loop as a Service: Build or Buy?
· Strategy · 8 min read
Every agent team eventually builds a review queue, a notification pipe and an on call rota. What that really costs, and when a managed human endpoint makes more sense.
Outsourcing AI Review: How Managed Human Validation Works
· Strategy · 8 min read
Crowdsourcing, BPO and managed human in the loop services compared — what accountable AI output review looks like when the reviewers are named, trained and consistent.