AI Agents & Workflow Automation

Use a fixed workflow when the steps are known. Add model-driven decisions only where they create value. More autonomy adds more paths that need testing and control.

Give each tool a narrow purpose and explicit input schema. Validate arguments and permissions outside the model. Keep read operations separate from actions that change external state.

Set limits on steps, time and cost. Store enough state to understand what happened and make termination conditions explicit. Prevent repeating an action on retry.

Before a consequential external action, show the intended destination, content and effect to a person. An approval should apply to the specific action being executed.

Tool failures, missing data and ambiguous instructions are normal. Design a safe stop state and an actionable explanation. Use a stable action identifier where retries could duplicate work.