AI Agents AI Architecture LangGraph Multi-agent Python System Architecture Workflow Automation

LangGraph Evaluation Tutorial: Test Multi-Agent Workflows

LangGraph evaluation turns a convincing multi-agent demo into a workflow you can improve with evidence. A system may return a plausible answer while choosing the wrong specialist, calling unnecessary tools, or becoming too slow and expensive for real users. This tutorial shows how to measure those failures before they reach production. In the previous lessons, […]

AI Agents AI Architecture LangGraph Multi-agent Python System Architecture Workflow Automation

LangGraph Persistence Tutorial: Checkpoint and Resume Multi-Agent Workflows

LangGraph persistence is what makes a multi-agent workflow safe to pause, inspect, and continue later. Without it, a process restart, a human review step, or a temporary failure can mean starting the whole graph again—and possibly repeating work that already happened. In the previous tutorial on routing and parallel execution, a router selected specialist agents […]

AI Agents AI Architecture LangGraph Multi-agent Python System Architecture Workflow Automation

LangGraph Routing and Parallel Execution: Send Tasks to the Right Agents

LangGraph routing is the point where a multi-agent graph stops broadcasting work and starts making deliberate choices. It decides which specialist should handle a request, which tasks can run at the same time, and when their findings are ready to combine. In the previous tutorial on LangGraph shared state, we defined safe information flow. Here, […]

AI Agents AI Architecture MCP Software Architecture System Architecture Workflow Automation

MCP vs API: What’s the Difference, and How Do They Work Together?

If you are comparing MCP vs API, the short answer is that they solve different integration problems. APIs expose capabilities; MCP gives AI applications a standard way to discover and use tools and context. Key takeaway: An API is a contract for interacting with a system. MCP is a protocol that helps AI applications discover […]

AI agent security AI Agents AI automation Artificial Intelligence Automation Workflow Automation

Your First Personal AI Agent: A Focused Weekend Build

The fastest way to get value from a personal AI agent is to stop imagining an AI employee. Start with one routine that is mildly annoying, happens often, and produces work you can easily review. In a couple of hours, you can prototype a useful workflow. You cannot reasonably expect a dependable, unattended assistant that […]

AI Agents AI automation Artificial Intelligence LLM Software Architecture System Architecture Workflow Automation

Why Final-Answer Evals Leave AI Agent Failures Invisible

Trajectory evaluation shows how a final answer can look perfect while the agent behind it has already failed. Imagine an agent that tells a support team: “The customer record has been updated.” The sentence is clear and reassuring. However, the trace may show a different story. It may select a search tool instead of an […]

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