AI 101: Beyond the Chat Box
AI 101 · 01
AI is not the chat box.
The chat box is simply the first doorway most people walked through.
AI
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The capability · 02
AI handles patterns too complex to write as rules.
It can interpret messy inputs, generate possibilities, and estimate what is likely—without being certain.
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A useful distinction · 03
Traditional software follows instructions. AI makes judgments.
Traditional software
If this, then that.
Consistent logic for known conditions.AI systems
Given this, probably that.
Useful estimates for ambiguous conditions.03 / 08
Four product roles · 04
One capability can play four very different roles.
01
Understand
Find meaning in text, images, audio, and data.02
Recommend
Surface a likely answer or next best action.03
Create
Draft new content, code, plans, or designs.04
Act
Use tools and complete parts of a workflow.
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The product · 05
A model alone is not a product.
01
Context
What the system knows02
Model
What it can infer03
Guardrails
What it may do04
Feedback
How it improves
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Where to begin · 06
The best first use case is a frequent, painful decision.
Look for work where people already spend time gathering context, comparing options, or creating a first draft.
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How to learn · 07
Prototype the workflow, not the fantasy.
A polished demo asks
Does this look impressive?
It proves that an output can appear once.A useful prototype asks
Does this improve real work?
It tests repeated tasks, failure modes, and human judgment.07 / 08
Your first conversation · 08
Start small enough to learn. Design big enough to matter.
You do not need an AI strategy deck. You need three clear answers.
- Whose decision improves?
- What evidence would prove it?
- What happens when it is wrong?
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Slide 1: AI is not the chat box.