AI Engineering7 min read
Human-in-the-loop: when AI needs human oversight
Learn how to build Human-in-the-Loop (HITL) workflows with state persistence, breakpoints, and feedback injection. Design safe AI systems that can pause...
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Build Your First Software Factory Execution Harness live Thursday, Oct 1, 12:00 PM ET
Oct 1, Reserve a seatExpert articles on building production AI systems, covering system design, architecture, observability, and real-world implementations.
57 posts in total
AI Engineering7 min read
Learn how to build Human-in-the-Loop (HITL) workflows with state persistence, breakpoints, and feedback injection. Design safe AI systems that can pause...
AI Engineering8 min read
Learn how to coordinate specialized AI agents using three fundamental patterns: The Chain, The Router, and The Supervisor. Move from monolithic prompts...
AI Engineering7 min read
Learn how to optimize RAG agents by balancing speed, cost, and quality. Understand asymmetric model design, parallel retrieval, and re-ranking strategie...
AI Engineering7 min read
Learn how to build multi-hop RAG agents that can decompose complex queries into sub-questions and chain multiple retrieval steps. Understand query decom...
AI Engineering7 min read
Learn how to build resilient RAG agents that handle API timeouts, tool failures, and real-world chaos. Understand fallback strategies, retries, and grac...
AI Engineering7 min read
Learn how to quantitatively measure RAG system quality using the RAG Triad: context relevance, recall, faithfulness, and answer relevancy. Understand LL...
AI Engineering8 min read
How assembling works in production. Learn how to wire up all the nodes in LangGraph to create a complete, self-correcting RAG agent. See it in action with
AI Engineering7 min read
Learn how to build the decision-making nodes for an intelligent RAG agent: routing, grading, and generation. Understand how self-correction loops make a...
AI Engineering6 min read
Learn how to build the foundation of an intelligent RAG agent using LangGraph. Understand state management, tool nodes, and the transition from linear c...
AI Engineering6 min read
Learn why linear RAG pipelines fail on complex queries and how to identify when you need a more sophisticated approach. Understand the limitations of si...
AI Engineering8 min read
Learn the difference between vertical (MCP) and horizontal (A2A) agent communication patterns. Understand when to use agent-to-tool vs. agent-to-agent p...
AI Engineering9 min read
Learn when to use Function Calling (tool calling) vs. Model Context Protocol (MCP) for connecting AI agents to tools. Understand the architectural diffe...