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2 min read Newsletter

OL25.06 – Build Operations Agents That Act, Not Just Report

🔎 Ops Prompt of the Week

Prompt:

“You are an operations performance monitor. Track key KPIs such as Mean Time to Repair (MTTR), SLA breaches, and throughput. When any metric exceeds its threshold, trigger an appropriate corrective task. Then write a concise incident summary and send it to the team chat channel.”

What it does: Guides AI to not just analyze data, but take action and communicate outcomes.

Why it matters: Bridges the gap between insights and ops execution—moving AI from observer to operator.

How to vary: Change “KPIs” to "maintenance alerts", "inventory levels", or "fraud indicators"; adjust corrective logic and communication style.


📰 AI in Ops – News


💡 AI Insight of the Week

Insight: From Reporting to Acting — The Fully Autonomous Ops Agent

This week's prompt builds on the idea of **agent blueprinting**, but adds a crucial step: **take action**. A full-fledged operations agent doesn’t stop after analysis—it triggers tasks and communicates results in real time.

Why it matters: - Creates closed-loop automation—alerts become actions. - Delivers transparency through summary messages. - Provides a clear pathway to ROI by tying agent behavior to team notification and follow-through.


🎉 Fun Prompt of the Week

“Write a Slack message from an AI agent named ‘OpsOtto’ who just paused a production line due to high sensor temperature. The message should include three suggested triage steps and end with a lighthearted dad joke to ease tension.”

What it does: Tests agentic alert messaging with personality and structure.

Why it’s fun: Helps teams think about clarity, tone, and human touch in autonomous automation.

Variations: Swap for “IRL Irene” on a web outage, or for “ChainBot” on inventory mismatch; shift tone from dad joke to motivational GIF endings.


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