# Agents and the work around them

A capable model is a beginning. Useful autonomy also needs context, tools, permissions, and feedback.

Author: Napoleonic
Published: 2026-11-02
Topics: AI & agents, Data
Canonical: https://napoleonic.vc/writing/agents-and-the-work-around-them/

> Illustrative essay written for the website design preview.

Beyond the chat window.

## The environment is part of the agent

An agent is easier to understand when we look beyond its model. What can it observe? Which actions are available? How does it find out whether those actions worked? These choices shape the work it can reliably perform.

A demonstration can hide that surrounding structure. A deployed system has to make it explicit. The integrations, exception paths, and evaluation process are part of the product.

## The unit of useful work

Instead of asking how autonomous a system is, it may be more productive to ask which unit of work it can finish. A well-defined task with clear feedback is a different problem from a broad objective whose success is hard to observe.

The boundary matters. Handing a task back to a human can be a sensible part of the design when the cost of an error is high or the goal is underspecified.

## What to watch

Look for evidence that a system remains useful when the easy cases have run out. How does it recover? Can a person understand its state? Does it improve the full workflow, including review and correction?

The interesting companies may be the ones that make the surrounding work legible enough for both people and machines.