How to Educate People to Use AI (Without Losing Humanity)

For years, we learned to talk to bots as if they were soulless machines: short phrases, keywords, and zero emotion. Today, technology has changed.

Today we talk to machines as if they were simple switches: short messages, direct commands, no emotion. For years, we got used to interacting with rigid “bots” that asked for data, confirmed options, and that was it.

But conversation with AI has evolved: there are now conversational AI sales agents that respond with tone, make pauses, understand context, and convey empathy—in other words, they feel more human.
If we want to take advantage of that progress, people need to learn to converse with AI differently.

Why we talk like bots (and why that limits us)

For years, popular conversational interfaces (bots) were based on fixed rules: menus, buttons, and cold responses.
We learned to “optimize” our messages so the machine could understand: short fragments, keywords, zero emotional context.

This has three negative effects:

For example, someone writing “price x” will get a technical sheet. But if they write “I’m looking for something for family trips, budget X,” AI will personalize the recommendation.

Learning to express ourselves differently opens the door to better outcomes.

AI is no longer “just a bot”

Today, there are conversational AIs designed to sell, educate, and guide—with configurable personality and the ability to understand voice, images, and context.

Solutions like Biky Montes, an AI sales agent, adapt tone and style (DISC model), provide 24/7 service, and integrate with CRMs to ensure human-digital continuity.

Goal: converse better, not less

Educating ourselves for this doesn’t mean forcing people to learn commands. It means:

Steps to use a conversational AI

Practical examples: three micro-scripts of what AI can do today

  1. Scheduling a test drive (educated user):
    User: “I want to try the X motorcycle on Saturday morning.”
    AI: “Perfect. Does 10:00 or 11:30 work better for you? Do you need a helmet or transportation?”
    (AI proposes options and asks for useful context.)
  2. Asking for a recommendation by use:
    User: “I need a car for family + long trips, budget 25k–30k.”
    AI: “Got it: family + long trips, budget 25–30k. Do you prefer automatic or manual? How many people usually travel with you?”
    (AI turns a broad request into actionable data.)
  3. Recovering a follow-up:
    AI (after 3 days of no reply): “Hi, are you still interested in the test drive? I can reschedule it or show you similar models.”
    (Gentle education: it teaches that AI can reactivate the conversation without pressure.)

Conclusion: humanize the way we talk to technology

If we want to make the most of human-like AIs, we must stop talking to them like switches. AI education is not only technical—it’s cultural.
Teaching users and teams to include context, state goals, and use conversation as a tool increases AI’s effectiveness and, most importantly, improves the human experience.

Modern AIs—like sales agents designed to converse and guide—offer an opportunity: to recover rich, empathetic communication at scale. We just need to readapt the way we talk: fewer shortcuts, more context, and a little more humanity in every message.

Want to meet an AI you can actually hire for your sales team? It’s time to meet Biky. 🚀


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