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← Mission 5
Unleash the Agent
20 slides
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Agentic AI for Business — Mission 5
Title Slide
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Agentic AI Essentials
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Unleash the Agent
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Mission 4
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Rules follow paths. Agents find solutions.
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#AIOfficerCertification | Dave Hajdu | dave@ai-officer.com
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Continuity Bridge
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Mission 1: Packaged AI.
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Mission 2: Workflow.
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Mission 3: Logic layer.
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Mission 4: Agents.
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You designed every path. Now you define the goal.
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Today's Agenda
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1. Where logic breaks
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2. Agents vs. decision logic
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3. The agent loop
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4. Build your first agent
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Where Logic Breaks
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Rules work until they don't.
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You can't design a branch for every human situation.
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The Shift
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Instead of "If X, do Y" --
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"Here's the goal. Figure it out."
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Agents vs. Decision Logic
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Decision logic -- you design every branch. Predictable. Cheap. Rigid.
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Agents -- you define the goal. Flexible. Handles complexity. Needs guardrails.
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The Agent Loop
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Think -- Plan -- Act -- Reflect.
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This is why agents can handle complexity.
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Agent Anatomy
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Brain -- the LLM.
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Tools -- search, APIs, calculations.
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Memory -- context and knowledge base.
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Build Example -- Career Assistant
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Search jobs. Filter results. Answer questions. Recommend roles.
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One assistant. One knowledge base. Then add intelligence.
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Exercise -- Step 1: Define the Mission
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Exercise: Define your agent's mission.
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What is the goal? Who is the user? What does success look like?
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One sentence. Clear enough that someone who's never seen your agent could understand it.
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Exercise -- Step 2: Add Instructions
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Exercise: Write the instructions.
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How should it behave? What tone? What should it always do? What should it never do?
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Exercise -- Step 3: Upload Data
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Exercise: Give your agent a knowledge base.
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Job listings. Company profiles. Industry data.
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The agent is only as good as what it knows.
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Exercise -- Step 4: Add Tools
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Exercise: Connect the tools your agent needs.
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Search. Filter. Calculate. Retrieve.
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An agent without tools is just a chatbot.
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Exercise -- Step 5: Test
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Exercise: Test your agent.
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Start simple. Then add complexity. Then try to break it.
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What happens when the input doesn't fit your expectations?
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The AI Officer's Role
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You are not doing the work.
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You are designing the system.
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Supervisor, not spectator.
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Guardrails
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What it can't do.
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When to escalate.
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What data it can access.
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What tone to use.
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Human in the Loop
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Agent drafts. Human approves.
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Agent handles routine. Human handles edge cases.
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The Full Stack
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Mission 1: Package it.
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Mission 2: Wire it.
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Mission 3: Teach it to decide.
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Mission 4: Let it think.
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Your Commitment
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What is one process in your work that's too complex for if/then logic -- where an agent could handle the variability?
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Thank You
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Thank you.
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#AIOfficerCertification | Dave Hajdu | dave@ai-officer.com | ai-officer.com