Use a complete agent prompt structure
A strong AI agent prompt tells the agent what success looks like and what process to follow. It should be more specific than a general chat request.
- Goal: what the task should accomplish.
- Role: what perspective the agent should use.
- Output: what format the final result should take.
Add context and constraints
Context keeps the agent grounded. Constraints keep it from producing work that is too broad, too risky, or hard to use.
- Add audience, source material, tone, deadline, and non-goals.
- Call out facts that must be preserved.
- Tell the agent how to handle missing information.
Define checks before execution
Acceptance checks make the final output easier to judge. They also help the agent self-review before handing back the result.
- Check whether the result answers the original goal.
- Check whether assumptions are labeled clearly.
- Check whether the final format matches the request.
AI agent prompt guide FAQ
What should an AI agent prompt include?
Include goal, role, context, constraints, steps, expected output, and acceptance checks.
How is an agent prompt different from a normal prompt?
An agent prompt usually defines a workflow and quality checks, not just a single answer request.
Can Gemini Spark help draft agent prompts?
Yes. Gemini Spark can turn a rough objective into a structured agent brief that you can adapt for your AI tool.