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Now that we’ve covered the technical implementation (see Part 1 and Part 2), let’s see what this agent can actually do. Here are three examples that demonstrate how natural language interactions can replace tedious UI workflows—each one progressively more powerful. Example 1: Quick Lookups The simplest use case is finding information without navigating through menus….

We all dislike typing a message to an AI agent and then just staring at a spinning loader for ten seconds with zero feedback. It feels slow and lifeless. In part 2 of this series, I’m going to walk you through how I added proper token streaming over WebSockets so users see the agent’s response…

There’s something really satisfying about building an AI agent that can actually take action in your application. In this post, I’ll walk you through how I integrated LangChain tools into my NestJS backend to create an agent capable of searching contacts, creating events, sending messages, and handling a bunch of other tasks. The Tech Stack…

At Don’t Panic Labs, we frequently discuss Volatility-Based Decomposition (VBD). It is an architecture practice that groups and boundaries systems by where change occurs. Instead of organizing purely by domains or technical layers, VBD identifies parts of the codebase that change together or change frequently. We use those patterns to inform seams, ownership, and stabilization…

In previous posts, we have explored various ways to interact with LLMs. Today, I want to walk through creating agent_demo.py, a small but capable multi-agent application. Why is this important? Most people stop at simple prompts. But real power comes when we chain these interactions together to solve complex workflows. We aren’t just asking a…

LLMs are at the heart of the current AI movement. An LLM’s ability to respond to prompts with human-like responses is astonishing. All of our first interactions with ChatGPT in 2022 were amazing. The first time I used GitHub Copilot to generate a basic database access method, it was clear that something significant was about…

It feels like everyone wants to sprinkle a little AI on every software project right now. Sometimes for good reason, and sometimes just because they want a little AI. But AI, much like a seasoning for our food, might not be an improvement. We need to know what tool to use and when. One of…