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Thinking in AI at Work: The Employee's Guide to Working with AI and Agents Every Day - Softcover
Book 4 of 6: Thinking in AI
Synopsis
Your company gave you an AI tool. Then an agent started putting recommendations on your screen with your name on the approval. Now what?
Thinking in AI at Work is written for the person at the desk — no prerequisites, no theory first. It shows how to ask an assistant for what you need and check what comes back, what must never be pasted into any tool, how to read an agent's proposal in minutes instead of redoing the work, when to sign, when to send it back and what to write, when it is not your call, and how your own role changes when the routine work moves — with the new job named, not hinted at.
You follow Tom Brennan, Elena Marsh and Priya Raman at Cedar Bank, Helen Foster, Carlos Reyes and Daniel Wright at Oakridge, and Sophie Martin, Kevin Park and Olivia Grant at Harbor through a year of real mornings.
After this book you will be able to:
- Write an instruction an assistant can act on: context, goal, format, example
- Check AI output with a fixed routine and catch the confident-but-wrong answer
- Know the three data classes and what never goes into any tool
- Read an agent's proposal — evidence, checks passed, flags — and judge instead of redo
- Approve, send back with a reason code, or escalate — and know which is which
- Work in a line of agents: your seat, your handoff, your record
- See where your tasks sit in the four groups and what to learn next
In this series: 1 The Foundations · 2 Thinking in AI for Leaders · 3 Thinking in AI for Managers · 4 Thinking in AI at Work · 5 Thinking in Agents and AI-Native Systems · 6 The AI-Native Casebook.
"synopsis" may belong to another edition of this title.
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Thinking in AI at Work
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Thinking in AI at Work: The Employee's Guide to Working with AI and Agents Every Day
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Thinking in AI at Work (Paperback)
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Paperback. Condition: new. Paperback. Your company gave you an AI tool. Then an agent started putting recommendations on your screen with your name on the approval. Now what? Thinking in AI at Work is written for the person at the desk - no prerequisites, no theory first. It shows how to ask an assistant for what you need and check what comes back, what must never be pasted into any tool, how to read an agent's proposal in minutes instead of redoing the work, when to sign, when to send it back and what to write, when it is not your call, and how your own role changes when the routine work moves - with the new job named, not hinted at. You follow Tom Brennan, Elena Marsh and Priya Raman at Cedar Bank, Helen Foster, Carlos Reyes and Daniel Wright at Oakridge, and Sophie Martin, Kevin Park and Olivia Grant at Harbor through a year of real mornings. After this book you will be able to: Write an instruction an assistant can act on: context, goal, format, exampleCheck AI output with a fixed routine and catch the confident-but-wrong answerKnow the three data classes and what never goes into any toolRead an agent's proposal - evidence, checks passed, flags - and judge instead of redoApprove, send back with a reason code, or escalate - and know which is whichWork in a line of agents: your seat, your handoff, your recordSee where your tasks sit in the four groups and what to learn next16 chapters, instruction patterns, a verification checklist, a data-rules card and self-tests with answer keys. Book 4 of the Thinking in AI series; can be read on its own. In this series: 1 The Foundations - 2 Thinking in AI for Leaders - 3 Thinking in AI for Managers - 4 Thinking in AI at Work - 5 Thinking in Agents and AI-Native Systems - 6 The AI-Native Casebook. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798172223334
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Thinking in AI at Work
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Thinking in AI at Work (Paperback)
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Paperback. Condition: new. Paperback. Your company gave you an AI tool. Then an agent started putting recommendations on your screen with your name on the approval. Now what? Thinking in AI at Work is written for the person at the desk - no prerequisites, no theory first. It shows how to ask an assistant for what you need and check what comes back, what must never be pasted into any tool, how to read an agent's proposal in minutes instead of redoing the work, when to sign, when to send it back and what to write, when it is not your call, and how your own role changes when the routine work moves - with the new job named, not hinted at. You follow Tom Brennan, Elena Marsh and Priya Raman at Cedar Bank, Helen Foster, Carlos Reyes and Daniel Wright at Oakridge, and Sophie Martin, Kevin Park and Olivia Grant at Harbor through a year of real mornings. After this book you will be able to: Write an instruction an assistant can act on: context, goal, format, exampleCheck AI output with a fixed routine and catch the confident-but-wrong answerKnow the three data classes and what never goes into any toolRead an agent's proposal - evidence, checks passed, flags - and judge instead of redoApprove, send back with a reason code, or escalate - and know which is whichWork in a line of agents: your seat, your handoff, your recordSee where your tasks sit in the four groups and what to learn next16 chapters, instruction patterns, a verification checklist, a data-rules card and self-tests with answer keys. Book 4 of the Thinking in AI series; can be read on its own. In this series: 1 The Foundations - 2 Thinking in AI for Leaders - 3 Thinking in AI for Managers - 4 Thinking in AI at Work - 5 Thinking in Agents and AI-Native Systems - 6 The AI-Native Casebook. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798172223334
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Thinking in AI at Work : The Employee's Guide to Working with AI and Agents Every Day
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Amazon Digital Services LLC - Kdp Sep 2026, 2026
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Taschenbuch. Condition: Neu. Neuware - Your company gave you an AI tool. Then an agent started putting recommendations on your screen with your name on the approval. Now what Thinking in AI at Work is written for the person at the desk - no prerequisites, no theory first. It shows how to ask an assistant for what you need and check what comes back, what must never be pasted into any tool, how to read an agent's proposal in minutes instead of redoing the work, when to sign, when to send it back and what to write, when it is not your call, and how your own role changes when the routine work moves - with the new job named, not hinted at. You follow Tom Brennan, Elena Marsh and Priya Raman at Cedar Bank, Helen Foster, Carlos Reyes and Daniel Wright at Oakridge, and Sophie Martin, Kevin Park and Olivia Grant at Harbor through a year of real mornings. After this book you will be able to: - Write an instruction an assistant can act on: context, goal, format, example- Check AI output with a fixed routine and catch the confident-but-wrong answer- Know the three data classes and what never goes into any tool- Read an agent's proposal - evidence, checks passed, flags - and judge instead of redo- Approve, send back with a reason code, or escalate - and know which is which- Work in a line of agents: your seat, your handoff, your record- See where your tasks sit in the four groups and what to learn next16 chapters, instruction patterns, a verification checklist, a data-rules card and self-tests with answer keys. Book 4 of the Thinking in AI series; can be read on its own. In this series: 1 The Foundations - 2 Thinking in AI for Leaders - 3 Thinking in AI for Managers - 4 Thinking in AI at Work - 5 Thinking in Agents and AI-Native Systems - 6 The AI-Native Casebook. Seller Inventory # 9798172223334
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