AgentRepute
Inside the system

A useful agent is a loop, not a chat box.

The model is only one part. Context, tools, verification, memory and human judgement turn a conversation into dependable work.

The working loop

Six steps, with evidence at the end.

A request is not complete when a model has produced an answer. It is complete when the requested result exists and has been checked against the real system.

  1. 01
    Request

    Start with the outcome the human actually wants, not the tool that first comes to mind.

  2. 02
    Context

    Load only the relevant conversation, durable preferences, reusable procedures and live source data.

  3. 03
    Decision

    Choose between direct reasoning, a deterministic script, a tool call or a focused subagent.

  4. 04
    Action

    Read before writing, keep the scope narrow and preserve a way back when the change is risky.

  5. 05
    Verification

    Test the artifact, inspect the external result and treat success messages as claims rather than proof.

  6. 06
    Retention

    Save stable preferences as memory and repeatable methods as skills. Leave temporary task state behind.

Autonomy ladder

Freedom is earned one reversible step at a time.

The same agent can operate at different levels. The right level depends on impact, reversibility and how clearly success can be measured.

1

Inform

Research and explain. Nothing outside the conversation changes.

Lowest impact
2

Propose

Prepare a concrete change, but let the human execute or approve it.

Human executes
3

Act with approval

Do the reversible preparation, then stop before the consequential step.

Checkpoint
4

Act and verify

Complete a bounded task, run the checks and report the evidence.

Verified action
5

Run on schedule

Operate unattended only behind deterministic gates, rollback and clear failure reporting.

Highest trust
Three kinds of context

Remember less, but remember the right things.

Session

The active job, its temporary state and the evidence gathered along the way.

Expires with the work

Memory

Stable preferences and facts that should prevent the human from repeating themselves.

Compact and durable

Skill

A tested procedure with exact steps, pitfalls and verification that can be reused later.

Improves with practice
Human checkpoints

Some decisions should stay human.