Section 1 - Instruction

You've mastered the basics of GenAI. Now let's peek under the hood - how does AI actually "think"?

Understanding this helps you use AI sales tools more effectively and set realistic expectations for your sales processes.

Engagement Message

When you ask ChatGPT to write a follow-up email, what do you think happens inside?

Section 2 - Instruction

Here's the truth: AI doesn't think like humans at all! It's incredibly sophisticated pattern matching - like having a genius at finding patterns in millions of examples.

When you ask "Write a follow-up email for a warm prospect," it recognizes patterns from thousands of sales emails it's seen before.

Engagement Message

Does this change how you think about AI capabilities in sales?

Section 3 - Instruction

Traditional CRM systems follow explicit rules: "If prospect clicks email, then send reminder in 3 days." They're like following a sales playbook step by step.

AI works differently - it learns patterns from examples and predicts what should come next based on those patterns.

Engagement Message

Which approach do you think handles unexpected prospect responses better?

Section 4 - Instruction

Think of it like autocomplete on steroids. Your phone predicts the next word you'll type based on patterns.

AI does this but with billions of patterns from vast amounts of sales conversations, emails, and proposals. It's predicting entire responses, not just words!

Engagement Message

Does this concept surprise you about sales AI tools?

Section 5 - Instruction

Here's why this matters for sales: AI excels at tasks with clear patterns (email sequences, objection handling, proposal writing) but struggles with truly novel sales situations.

It's brilliant at "I've seen this objection before" situations but can fail at "I've never encountered this prospect type" challenges.

Engagement Message

What sales activities in your process follow predictable patterns?

Section 6 - Instruction

This is why AI can craft personalized outreach emails instantly but might struggle to navigate a completely unique client negotiation your industry has never seen.

Understanding this helps you choose the right sales tasks for AI automation in your workflow.

Engagement Message

Which of your daily sales activities follow patterns AI could learn?

Section 7 - Instruction

The recent breakthrough? Some AI models now have "reasoning" capabilities - they can think through sales problems step by step like top performers do.

Models like OpenAI's o3 or Claude Opus can break down complex deals, consider multiple approaches, and work through sales strategies methodically.

Engagement Message

How might step-by-step reasoning help your deal analysis and sales planning?

Section 8 - Practice

Type

Swipe Left or Right

Practice Question

Let's test your understanding of how AI works in sales!

For each task below, swipe left if it relies mainly on pattern recognition, or swipe right if it requires step-by-step reasoning:

Labels

  • Left Label: Pattern Recognition Tasks
  • Right Label: Reasoning Tasks

Left Label Items

  • Writing cold outreach sequences
  • Generating meeting follow-up emails
  • Creating standard proposal templates
  • Crafting objection response scripts

Right Label Items

  • Developing complex deal strategies
  • Analyzing multi-stakeholder buying processes
  • Planning territory expansion approaches
  • Solving unique client requirements
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