Getting started with AI agents (part 1): Capturing processes, roles and connections

A modern-day AI agent consists of, at least, a large language model (LLM) that has been enabled to call some tools. Given the right set of tools for coding, it would start by generating the code, be able to run it in a container, observe the results, modify the code and therefore have a better chance of producing useful code.

By contrast, a generative AI model takes some input and, through the process of predicting expectations, produces an output. For example, we give it a coding task, it produces some code, and, depending on the complexity of the task, the code may be usable as is.

As they take on different tasks, agents should be allowed to talk to each other. For example, imagine your company intranet with its useful search box directing you to the apps and resources you need. If you are a large enough company ...