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The Modern Agentic Workflow

Give Yourself the Best Personal Assistant You've Ever Had — Build AI Agents to Automate Tasks, Save 10+ Hours Every Week & Supercharge Productivity

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The Modern Agentic Workflow

By: Alexander Sterling
Narrated by: Rick Gines
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Every Monday morning, you open a blank chat window and explain the same thing all over again. The report format. The client's name. The tone you want. By next Monday, the AI has forgotten everything you taught it. Again.

You've read the prompt guides. You've collected the clever phrasing tricks that promise to hand your evenings back. Some worked, for an afternoon. Then Monday came around and you were back at zero, rebriefing from scratch, because a clever sentence is not a system. It's a note you write yourself and throw away.

Most people using AI right now are stuck in exactly this loop: hiring a brilliant assistant every morning who shows up with total amnesia, and paying the training cost all over again, every single day. That's not a personal failure. It's the one way of using this tool that's guaranteed not to pay off.

This book shows you the alternative: stop chatting with AI and start employing it. You'll build small, reusable agents, configured once, that you call back instead of rebuilding, so the hours you save actually compound instead of resetting to zero every week.

Inside, you'll learn how to:

  • Find the one recurring task worth automating, and price exactly what it's costing you in real hours
  • Build your first standing agent, with your format, your tone, and your standards already built in so you never re-explain yourself again
  • Use the Capability Ladder to size every build correctly, choosing between a saved prompt, a configured assistant, or a fully connected one, so you never overbuild a simple task or underbuild a costly one
  • Grow a single agent into a small working crew that covers more of your week without turning into a second job of management
  • Calculate your actual return with a real number against a real baseline, not a promise printed on a cover

If you're tired of retraining the same brilliant temp every Monday, it's time to hire for good.

©2026 Alexander Sterling (P)2026 Alexander Sterling
Computer Science Machine Theory & Artificial Intelligence
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