How to hand a task to an AI coding agent and step away

• The agent stops to ask. Questions about colours, wording, tools or scope arrive one at a time, and each one waits for you.
• Or it guesses. When it does not ask, it picks something reasonable that is not what you would have picked.
• "Done" means done to the agent. It reports finished work, and you find the missing privacy page, the skipped tests or the untranslated string.

• Write the brief before you start. Say what done looks like, what is out of scope, and which choices it should make on its own.
• Ask for questions up front. "List everything you need from me before you start" gets the questions in one batch instead of across an hour.
• Give it a checklist. End the task with "before you say done, check: tests pass, no new dependencies, privacy page present". Agents follow an explicit list more reliably than an unstated standard.

A good brief takes time to write, and you write much of the same brief every time. The checklist lives in your head, so it is only there when you remember to type it.

Varyz brings relevant context into the task: your goals, earlier decisions, past work and standards. It gives your agent your vision, taste, and creative perspective, so less of the brief has to come from you each time.

• It brings in the context. Before work starts, the agent hears how you operate and what this project has already settled. It can retrieve relevant past conversations and work from connected sources, with references you can check.
• It answers for you. Settled choices are answered from what you decided. Routine implementation choices stay with the agent.
• It asks you only what's new. When a necessary preference or fact is missing, the questions come together as short choices. In away mode they wait for your return, and away mode never grants extra permission to publish, spend or share data.
• It carries your standards through. Before reporting done, the agent receives your checklist for that kind of work, checks the requirements and explains what remains.

You still review the result. Varyz helps the agent use your context and requirements; it cannot guarantee correctness or catch every mistake.

In our own benchmark, 99 of 99 checklist items reached the agent without the task mentioning them. That is an internal result with a simulated owner; see how Varyz is measured.

Download local Varyz for free. Read how Varyz works, or more guides.