Module 1 · 5 lessons · 55 min

Agentic AI, Explained for Owners

1Agentic AI, Explained for OwnersModule 1 · OverviewAgentic AI, Explained for Owners
Module 1
Agentic AI, Explained for Owners

Think like a manager of AI, not a user of it

Bruno Ashford
Bruno Ashford · Module 101 / 12
1.1 From chatbot to agent

What actually changes

ChatbotAgent
Works inOne replyA loop of steps
Uses your filesOnly what you pasteOpens, reads, writes
Gives youText to processFinished work
You ask forContentAn outcome
Bruno Ashford · Module 102 / 12
1.1 The agent loop

Plan, act, check, repeat

  1. 1ReadYour request and context
  2. 2ActUse a tool on your files
  3. 3CheckLook at the result
  4. 4RepeatUntil done or it needs you
Bruno Ashford · Module 103 / 12
1.2 The Autonomy Ladder

Three rungs of trust

  1. 1SuggestIt drafts, you act
  2. 2Act with approvalIt works, asks first
  3. 3Act aloneIt works, you review later
Bruno Ashford · Module 104 / 12
1.2 The rule
The cost of a mistake sets the rung, not how clever the AI looks.
Bruno Ashford
Bruno Ashford · Module 105 / 12
1.3 The 4Ds (Anthropic AI Fluency framework)

A management routine for AI

  1. D1DelegationSplit the task, keep the judgment
  2. D2DescriptionBrief it like a new hire
  3. D3DiscernmentReview like a manager
  4. D4DiligenceOwn what goes out
Bruno Ashford · Module 106 / 12
1.3 Description

The five-part brief

Two minutes of briefing saves twenty of fixing.

  • Goal: what done looks like
  • Context: who, why, which files
  • Rules: standards, tone, never do
  • Output: format, length, where to save
  • Check: report what you read and changed
Bruno Ashford · Module 107 / 12
1.3 A truth that hurts
Most bad AI output is a bad brief.
Bruno Ashford
Bruno Ashford · Module 108 / 12
1.4 Where AI earns its place

Score every task

Score15
ImpactSaves minutesSaves hours or speeds revenue
RiskInvisible, easy fixReaches client, money, legal
EaseIn someone's headWritten, digital, repeatable

Opportunity score = Impact x Ease / Risk

Bruno Ashford · Module 109 / 12
1.4 Never delegate

Some calls stay human

The agent can prepare the facts. You make the call.

  • Hiring and firing
  • Final pricing on big deals
  • Legal or medical judgment
  • Apologising to an upset client
Bruno Ashford · Module 110 / 12
1.5 Choosing your tool

Three desks, one office

ToolBest forSetup
Claude chatThinking, one-off writingNone
CoworkOne-off tasks on your filesDesktop app, paid plan
Claude CodeRepeatable, shareable processesInstall, paid plan or API
Bruno Ashford · Module 111 / 12
Recap
Pick the task, set the rung, brief it well, check it like a manager. The tool comes last.
Bruno Ashford
Bruno Ashford · Module 112 / 12
01 / 12

Use ← → to move. The marker highlights text and the pencil draws on the slide; navigation locks while you annotate. Undo removes the last mark, Esc exits.

Learn to think like a manager of AI, not a user of it.

Start lesson 1.1
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