AI AGENT

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.

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...

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...