Plan It. Review It. Execute It: Building a Human-in-the-Loop Agent with LangGraph
A practical architecture for AI agents that pause for human approval, support replanning, and execute safely with checkpointed state.
Why One Brain Isn't Enough: The Power of the Multi-LLM Chain-of-Debate
Single LLMs hallucinate, show bias, and miss perspectives. Chain-of-Debate orchestrates multiple models to critique and improve each other's outputs — producing answers that no single model could reach alone.
From Vibe-Coded to Production: The Engineering Reality of AI Agents
The gap between a demo-quality AI agent and one that ships to production is enormous. Here's what actually breaks — and how to fix it.
Building a Tweet Critique Agent with LangGraph Reflection Pattern
A compact agent loop that separates generation from critique, iteratively improves tweets, and stops safely using a termination heuristic.
From Chaos to Clarity: How the User-Driven Workflow Planner Makes Agentic AI Design Effortless
Agentic AI systems fail when users can't express what they want clearly. The User-Driven Workflow Planner pattern lets users define agent workflows in natural language — no code required.
A Production-Grade Architecture for Agentic AI Systems on Microsoft Azure
A deep-dive into designing, deploying, and operating multi-agent AI systems on Microsoft Azure — covering orchestration, memory, tool integration, observability, and cost controls.