What an AI agent does
An AI agent is useful when a task needs more than one response. It needs a goal, constraints, source context, a plan, and a way to verify the result.
- Turn broad goals into focused agent briefs.
- Break work into steps that can be reviewed and repeated.
- Keep assumptions and completion checks visible before execution.
Where Gemini Spark fits
Gemini Spark focuses on the planning layer of agent work. It helps you shape what the agent should do before a task moves into execution.
- Define the role and expected output for each task.
- Capture inputs, constraints, and quality checks in one workspace.
- Use the same brief structure across research, marketing, product, and operations work.
How to write better agent tasks
Agent outcomes improve when the task has a narrow goal and clear stopping conditions. A good brief tells the agent what to optimize for and what not to do.
- Start with the target outcome, not only the topic.
- Add constraints such as audience, tone, deadline, and forbidden claims.
- Define acceptance checks so the result can be judged objectively.
AI agent FAQ
What is an AI agent?
An AI agent is a workflow-oriented AI setup that can plan, reason through steps, use context, and produce a task-specific result.
How is Gemini Spark different from a chatbot?
Gemini Spark focuses on structuring a task brief before execution, while a chatbot often starts with a single open-ended message.
What should I include in an AI agent brief?
Include the goal, role, context, constraints, steps, expected output, and acceptance checks.