AI

How to Build a Production AI Agent · part 1

Most agents are three boxes and no way to know if they are still right. This series builds the rest. First step: label the dataset before the agent exists.

Agents in Production · part 11

LLM judges have measured biases toward length and confident wrong answers. Check yours against real human labels before it gates anything you actually ship.

Two-thirds of Danish SMEs use AI tools, but only 7% have AI built into an actual process. The gap is depth, not adoption, and it is where the real work is.

Agents in Production · part 10

A prompt edit changes what your agent does for every user, just like code. Give it review, tests, staged rollout, and a rollback button, before it needs one.

Agents in Production · part 9

Routing is a cost optimisation, not day-one architecture. Build it once you have production data showing which requests a cheaper model actually handles well.

Agents in Production · part 8

A tool schema is read by the model on every call, not once by an engineer. Design the contract, the errors, and the catalog size, because MCP will not.

Agents in Production · part 7

Production AI data pipelines have four jobs: extraction, normalization, enrichment, indexing. Most teams build only the last one and ship stale answers.

Agents in Production · part 6

Part 6 of a series on what actually goes into production agentic systems.

Agents in Production · part 5

Part 5 of a series on what actually goes into production agentic systems.

Agents in Production · part 4

Part 4 of a series on what actually goes into production agentic systems.

Agents in Production · part 3

Part 3 of a series on what actually goes into production agentic systems.

Agents in Production · part 2

Part 2 of a series on what actually goes into production agentic systems.

Agents in Production · part 1

Part 1 of a series on what actually goes into production agentic systems.

Discover the comprehensive guide to building and deploying AI agents. The AI Agent Playbook provides practical insights, strategies, and best practices for leveraging artificial intelligence agents...

Artificial intelligence (AI) is no longer a future concept – it's reshaping the professional world now. Adapting to AI isn't optional; it's crucial for staying competitive and relevant. This guide ...

If you’re curious about the buzzwords taking over the tech world and want to dive into the fascinating world of AI, start here

If you’re curious about the buzzwords taking over the tech world and want to dive into the fascinating world of AI, start here 👉 Explore AI with me(https://bhanuchaddha.com/tag/ai/).

Hey there, tech enthusiasts and curious minds! Let’s talk about Large Language Models, or LLMs, as the cool kids call them. Now, I know what you might be thinking: "Oh great, another tech acronym! I...

Artificial Intelligence (AI) is everywhere these days, from your phone suggesting the perfect playlist to your favorite TV show recommendations. But let's be honest, the term "AI" can mean a lot of ...

Artificial Intelligence (AI) has become one of the most transformative technologies of our time, influencing nearly every aspect of our daily lives. But what exactly is AI?

Hey there! Welcome to the "LLM Explained Series" where we unravel the magic behind Large Language Models (LLMs), the engines that power AI agents and make them talk, think, and act almost like hum...

In this post, we'll show you how to create a powerful AI-driven essay writer using technologies like LangChain, OpenAI's GPT-3.5 model, and Tavily. We'll break down each part of the code and demons...

Artificial intelligence (AI) agents are revolutionizing software development by allowing developers to offload complex, multi-step processes to a system that can reason, act, and respond autonomous...