Agent orchestration, explained simply — build capabilities like building blocks

Agent orchestration — agents calling agents — simply means codifying a capability you've nailed into its own agent, then building the next capability on top of it, one block at a time. Once you've made an AI workflow do something well enough that you'd defend the output, you can lock it in and stop re-solving the same problem every time you sit down.

A concrete example: a Buyer Persona Builder that generates a sharp, specific buyer persona from LinkedIn profiles became popular — but the more important thing is what it represented. Generating a strong buyer persona became a solved, codified problem, not something to figure out fresh each time.

Once a capability is codified, it stops being the destination and becomes a foundation. The question changes from "how do I make a good persona?" to "I've got the persona handled — what do I actually want to do with it?" The next block built on top was a Web Copy Analyzer that calls the persona generation internally (the user never touches that step — it's baked in) and then reads a website's copy against that specific buyer. After that capability was tuned and locked in, the next question became: not just whether the copy is right, but what the page should actually look like for that buyer — which points to a Website Re-imaginer sitting on top of both prior layers.

This is the same move as subagents in Claude Code: a bigger job composed of smaller pieces, each nailed and locked in individually. Codify a capability, and it becomes a block the next capability can stand on. Do that a few times and the system can do something none of the individual pieces could do alone.