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AI Agents: When AI Starts Doing the Work by Leo Odasnac
FORMATS Digital (WAB) · Paperback · Kindle
DIMENSIONS 100 pages · 18,500 words · 90 min read
MONOGRAPH · VOLUME 07 — TECHNOLOGY

AI Agents: When AI Starts Doing the Work

What every business professional should understand about the next shift in how work gets done
LO

AUTHOR

Leo Odasnac

CURATED KNOWLEDGE FOLIO
AI Agents: When AI Starts Doing the Work provides an authoritative and accessible exploration into its subject matter. Designed specifically for readers seeking real-world clarity and actionable insight, this comprehensive guide deconstructs core principles, illuminates common pitfalls, and equips you with practical f…
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MONOGRAPH PRÉCIS

The Core Argument

Understand how AI agents differ from chatbots, assistants, and fixed automation—and where they can genuinely help with real business work. Learn to spot promising tasks, set sensible boundaries and checks, and keep human judgment where it matters, using a familiar customer-inquiry workflow to make the choices concrete.

SEQUENCE · COMPLETE TEXT

The Reading Path

Crafted for a single contemplative evening or two morning sittings. Each chapter functions as a self-contained mental model and immediate intervention.

FORMAT Printed Monograph & Web
LENGTH 90 Min Read
ACCESS Complete & Unrestricted
READ FIRST CHAPTER →
Chapter 1

When AI Moves from Answers to Action

  • One Customer Inquiry, Four Ways to Work
  • Assistance, Automation, and Delegation
  • What Makes the Difference Matter
Chapter 2

How an Agent Gets Work Done

  • Start with the Objective
  • Context, Choices, and Tools
  • Action, Feedback, and Verification
  • Where the Human Fits
Chapter 3

Finding Work an Agent Can Improve

  • Look for Friction, Not Job Titles
  • When an Agent Is the Wrong Tool
  • A Better Customer Follow-Up
Chapter 4

The Boundaries of Delegation

  • How Good Intentions Go Wrong
  • Set Permissions and Approval Points
  • Supervise, Escalate, and Stay Accountable
Chapter 5

Redesigning Work Around People and Agents

  • Map the Work Before Delegating It
  • Choose a Promising First Opportunity
  • Measure Results and Adjust the Boundaries
  • The Questions to Take Back to Work
FOUNDATIONS

Scholarly References

Peer-reviewed sources, field research, and primary literature grounding this monograph.

  1. APPLICATION SECURITY AND LEAST PRIVILEGE ACCESS IN MODERN DEVOPS (2024)
  2. National Institute of Standards and Technology. *Least privilege*. Computer Security Resource Center Glossary. [Definition and source standards](https://csrc.nist.gov/glossary/term/least_privilege) (accessed 2026-10-21).
  3. OpenAI. *Safety in building agents*. [Documentation](https://developers.openai.com/api/docs/guides/agent-builder-safety). Supports the explanation of prompt injection, data leakage, and the limits of mitigations. Product-specific setup instructions are outside this book’s scope (accessed 2026-10-21).
  4. Tool-Augmented AI Agents on Small to Medium Language Models: A Performance and Cost Evaluation Study (2026)
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