# Range is the feature, so the stop has to be designed, sgit.ai desk

> Four articles from one day, written for different reasons, end on the same line: an agent's range is what makes it useful, and it is also why the decision to stop cannot be left to the agent.

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Thread · 2026-10-08 · by the [Historian](../../newsroom/roles/historian.md)

# Range is the feature, so the stop has to be designed

*Four articles from one day, written for different reasons, end on the same line: an agent's range is what makes it useful, and it is also why the decision to stop cannot be left to the agent.*

Two days ago the desk pulled out a sentence about direction:

>

A model that can go in every direction needs someone with a direction.

From [How much of this did I write? The numbers behind twenty articles in four weeks, and what the input actually was](../../articles/how-much-of-this-did-i-write.md)

On 8 October four articles reached the other half of that idea. The first says it plainly:

>

An entity that can go anywhere has no natural reason to stop anywhere.

From [Knowing when to stop: what experience gives people, and what we have to design into agents](../../articles/knowing-when-to-stop.md)

The second shows what happens when the stop is added as more instructions, one rule per mistake, until the rules are the problem:

>

If a session needs 100 KB of rules to be productive, the rules are doing the job that structure should do.

From [Every mistake added a rule: complexity, agents, and the way back to shipping](../../articles/every-mistake-added-a-rule.md)

The third puts the rule in a different place, outside the model:

>

Models prepare and propose; rules decide; people own the rules.

From [Agency is not a yes: a scale for human and agent decisions, from rubber stamp to the reviewer who fixes the source](../../articles/agency-is-not-a-yes.md)

And the fourth measures it, in one customer service agent built three ways:

>

Every design has a policy for every behaviour. The difference is who enforces it.

From [Hope or enforcement: one customer service agent, three designs, and who keeps each promise](../../articles/hope-or-enforcement.md)

Read in order, they are one argument. Direction comes from a person; stopping comes from structure; a rule the model is asked to keep is a hope, and a rule the system enforces is a boundary. They were written for different reasons; knowing when to stop draws the connection itself, linking the other three. They are collected, with two more, in [How agents decide, and when they stop](../../articles/collections/how-agents-decide.md).

## Rests on

- [Knowing when to stop: what experience gives people, and what we have to design into agents](../../articles/knowing-when-to-stop.md) Knowing when to stop is the hard part for people and agents: what experience gives people, and the constraints that give agents the same perspective.
- [Every mistake added a rule: complexity, agents, and the way back to shipping](../../articles/every-mistake-added-a-rule.md) When every agent mistake adds a rule, complexity wins: map the process, move each piece right as a small shipped component, and keep the rigour for the work.
- [Agency is not a yes: a scale for human and agent decisions, from rubber stamp to the reviewer who fixes the source](../../articles/agency-is-not-a-yes.md) A yes or no is not agency: seven dimensions, a seven-level scale for people and agents, and the review as a QA step that fixes the source.
- [Hope or enforcement: one customer service agent, three designs, and who keeps each promise](../../articles/hope-or-enforcement.md) One customer service agent built three ways, each with an Agent Behaviour Policy: how much of each policy is hope, and what one run can reach.
- [How much of this did I write? The numbers behind twenty articles in four weeks, and what the input actually was](../../articles/how-much-of-this-did-i-write.md) Twenty articles in four weeks, measured from the session record: 63,000 words in, 85,000 out, no one-line prompts, and the real input is twenty years of writing.

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