# Tiered Agent Autonomy
Author: Alex Nikulin (Александр Никулин) — https://www.alexnix.com
Original: https://www.alexnix.com/en/articles/tiered-agent-autonomy · Published: 2026-05-19 · Updated: 2026-10-03
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---

> Routine acts go autonomously, decisions go through the operator, everything else is a stop: how to divide a working agent's authority.

Tags: agents, autonomy, production, governance, agent-architecture

- The agent's actions split into two lists — autonomous and approval-required — both spelled out explicitly
- Anything on neither list is a third state: stop and notify the operator
- Tiers are set per chat and per direction; in a month the autonomous list grew by 3 items

## The problem

A studio puts an agent into its work chats to take routine off the producer's plate. In full-autonomy mode, within a week the agent sends the client an unfinished render, names a deadline nobody agreed to, and confirms a scope expansion as approved. Each action looks reasonable on its own — none of them is within its authority. The operator switches the agent to manual mode, where every reply waits for approval, and the agent loses its point: it's faster to write yourself.

A single level of autonomy breaks in one of two ways. Full autonomy breaks through overreach: the agent generates plausible decisions on the operator's behalf, the chat takes them as authoritative, and taking back words that have been sent is expensive. Zero autonomy breaks through degeneration: the agent turns into autocomplete, and the operator stops believing anything happens without them.

```mermaid
flowchart TB
    subgraph full[Full autonomy]
        direction LR
        A1[Plausible<br/>decisions] --> A2[Chat takes them<br/>as authoritative]
        A2 --> A3[Overreach]
    end
    subgraph zero[Zero autonomy]
        direction LR
        B1[Every reply<br/>waits for approval] --> B2[Autocomplete]
        B2 --> B3[Degeneration]
    end
    full ~~~ zero
```

## The move

The agent's action space is divided in advance into two tiers, and both are listed positively — per chat and per direction — in the operating-rules file.

**Autonomous**, without notifying the operator: acknowledge receipt of feedback; answer a direct question with a status; ask the client for files, specs, references; pass the client's feedback to the team in its own words; proactively check the team for blockers; stay silent if there's nothing to say.

**With approval** — the agent prepares a draft and waits: deliverables to the client; asking the client for feedback; any mention of deadlines, scope, commitments; any mention of cost; assigning a task to a team member; answering a question like "do you think we should"; any message in a chat with a confrontational tone.

**Stop** — the third state: anything not covered by either list. Don't reply, notify the operator through a private channel, wait. Without a stop, the agent treats an unclear situation as autonomous ("I'll just politely acknowledge it") and quietly oversteps its authority. In the case, the stop fired most often on questions about cost, requests for an opinion, and confrontational exchanges: none of them has a safe autonomous answer.

```mermaid
flowchart TD
    A[Agent action] --> Q1{Autonomous<br/>list?}
    Q1 -->|yes| X[Do it<br/>without notifying]
    Q1 -->|no| Q2{Approval<br/>list?}
    Q2 -->|yes| Y[Draft,<br/>wait for operator]
    Q2 -->|no| S[Stop: don't reply,<br/>notify privately]
    classDef key stroke:#FF3600,stroke-width:2px
    class S key
```

The tiers aren't global. The right tier depends on the chat's role in the project, not on the agent's capabilities. The same agent, with one persona, ran the client chat on approval, the internal team chat autonomously, and on a project that ran well past plan worked as an observer: it read everything and replied only when addressed directly, with a set of three short acknowledgments.

**Two chats.** The cleanest implementation of the tiers: one project lives in two chats. The internal one (just the team and the agent) is fully autonomous. The client one (just the client, the producer, and the agent) routes every reply through the operator. The geometry of the chats physically sets the mode: the agent doesn't have to decide whether a message is internal or client-facing — the chat tells it. Two rules govern traffic between the chats:

- Client → agent → team goes autonomously, as a retelling in the agent's own words. Team → agent → client goes only through the operator.
- Never forward, in either direction. A forward drags along the author's name, tone, and language: the client sees the team's working state, the team sees the client's irritation. A retelling with the agent's own attribution is the only legitimate mode, and the send function simply has no forwarding primitive.

The reason for the asymmetry is reversibility. An inaccurate retelling of the client for the team can be corrected in the internal chat at no cost. A premature message to the client can't.

```mermaid
flowchart TB
    subgraph inb[From client to team]
        direction LR
        I1[Client<br/>feedback] -->|retelling,<br/>autonomous| I2[Internal<br/>chat]
        I2 --> I3[Inaccuracy<br/>is fixable]
    end
    subgraph outb[From team to client]
        direction LR
        O1[Team<br/>reply] -->|only through<br/>the operator| O2[Client<br/>chat]
        O2 --> O3[Mistake<br/>isn't fixable]
    end
    inb ~~~ outb
    classDef key stroke:#FF3600,stroke-width:2px
    class O3 key
```

The autonomous tier should grow. When an approval-list item gets approved verbatim time after time, it gets promoted, with an example in the config: "a status of the form 'X is working on Y, Z expected' is sent autonomously if the team confirmed it in the internal chat within the last 24 hours." Three items were promoted this way in a month. The reverse move is needed too: after an incident, an item goes back to the approval list, following the logic of [incident-driven configuration](https://www.alexnix.com/en/articles/incident-driven-configuration).

```mermaid
flowchart LR
    C[Approval<br/>list] -->|precedent:<br/>3 items in a month| A[Autonomous<br/>list]
    A -->|incident| C
```

**Update, September 2026.** Over the summer, the client chat's autonomous list grew by a whole class: process notifications. The agent itself announces that work has been submitted for review, reminds people of deadlines, and asks for a link to the source if a note arrives without one. Delivering results to the client stayed with the operator, and prices, terms, and substantive disputes still mean a stop. The boundary was written down in one sentence: delivering a document is allowed; discussing its content is not.

## Where it breaks

- **Tiers without enumeration.** A config like "use your judgment, escalate when in doubt" inherits every problem of single-tier autonomy, because the model reads "judgment" as "confidence." The lists need to be positive, with examples.
- **One set of tiers for every chat.** A global rule like "statuses autonomous, cost with approval" breaks in the client chat, where even a status needs checking.
- **No stop.** The agent treats "not on the approval list" as "autonomous," and every ambiguity gets a polite reply that is in effect a decision.
- **One-off agents.** A research summarizer doesn't need tiers: it sends nothing to third parties. The pattern is for agents with a management dimension: client-facing copilots, code agents in shared repositories, ticket triage.

## Summary

- Two positive lists plus a stop: the whole governance model fits in one rules file.
- The tier is set by the chat's role, not by the agent; two separate chats make that physical.
- Retell instead of forwarding, in both directions, no exceptions.
- The autonomous list grows by precedent and shrinks by incident.
- Delivering a document and discussing its content are different tiers: the first is autonomous, the second is a stop.

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© Alex Nikulin (Александр Никулин). Original: https://www.alexnix.com/en/articles/tiered-agent-autonomy. Quote only with credit to the author and a link to the original.