Lesson 1111 of 1596
Building a dry-run mode for AI agents that touch production
Let agents plan and explain destructive actions without performing them, then approve in one click.
Creators · Agentic AI · ~7 min read
The premise
Agents earn trust by showing what they will do before doing it.
What AI does well here
- Render the planned tool calls as a human-readable diff
- Block irreversible actions until approval
What AI cannot do
- Predict every side effect a tool may cause
- Replace a real test environment
Understanding "Building a dry-run mode for AI agents that touch production" in practice: AI agents can take actions, run loops, and call tools — giving one instruction can start a chain of automated steps. Let agents plan and explain destructive actions without performing them, then approve in one click — and knowing how to apply this gives you a concrete advantage.
- Apply dry run in your agentic workflow to get better results
- Apply human in the loop in your agentic workflow to get better results
- Apply preview in your agentic workflow to get better results
- 1Design an agent spec: goal, tools, permissions, stop condition
- 2Run a simple web-search agent in a sandbox environment
- 3Instrument an existing workflow to identify where an agent could save time
Key terms in this lesson
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