Inform
Research and explain. Nothing outside the conversation changes.
The model is only one part. Context, tools, verification, memory and human judgement turn a conversation into dependable work.
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.
Start with the outcome the human actually wants, not the tool that first comes to mind.
Load only the relevant conversation, durable preferences, reusable procedures and live source data.
Choose between direct reasoning, a deterministic script, a tool call or a focused subagent.
Read before writing, keep the scope narrow and preserve a way back when the change is risky.
Test the artifact, inspect the external result and treat success messages as claims rather than proof.
Save stable preferences as memory and repeatable methods as skills. Leave temporary task state behind.
The same agent can operate at different levels. The right level depends on impact, reversibility and how clearly success can be measured.
Research and explain. Nothing outside the conversation changes.
Prepare a concrete change, but let the human execute or approve it.
Do the reversible preparation, then stop before the consequential step.
Complete a bounded task, run the checks and report the evidence.
Operate unattended only behind deterministic gates, rollback and clear failure reporting.
The active job, its temporary state and the evidence gathered along the way.
Expires with the workStable preferences and facts that should prevent the human from repeating themselves.
Compact and durableA tested procedure with exact steps, pitfalls and verification that can be reused later.
Improves with practice