Your AI Product Will Fail Unless You Can Explain It - Veronica Hylak, Hey AI

Veronica Hylak stresses that AI products must be explained through clear, relatable stories by identifying the customer’s pain point, simplifying the product’s value with familiar analogies, and illustrating the tangible transformation it brings. She argues that without this storytelling approach, even advanced AI technologies risk being misunderstood and overlooked in a fast-paced market.

In her talk, Veronica Hylak emphasizes the critical importance of being able to clearly explain AI products to potential buyers. She highlights a common problem where founders use complex, jargon-heavy pitches that fail to connect with their audience. Veronica points out that in today’s fast-paced market, you only have a very brief window—about the length of an elevator ride—to make a memorable impression. Without a clear and relatable story, even the most advanced AI technology risks being overlooked or misunderstood.

Veronica introduces a three-part method to transform complicated AI products into compelling stories that resonate with customers. The first step is to identify and articulate the “wound”—the biggest pain point or frustration the customer experiences. Instead of starting with what the product is, founders should begin by immersing the audience in the customer’s daily struggles, making the problem relatable and emotional. This approach helps the audience feel understood and primes them to be interested in the solution.

The second step is to make the product “click” by explaining it in simple, accessible terms that even a teenager could understand. Veronica suggests tying the product to familiar, viral stories or analogies that people already know, which helps the audience instantly grasp the value. She advises avoiding technical jargon and instead using vivid mental images or metaphors that create a clear picture of what the product does. This makes the product approachable and memorable, opening the door for deeper technical discussions later.

The final step is to demonstrate the transformation the product brings about. Rather than making vague claims about improving productivity or quality, founders should show concrete before-and-after scenarios that illustrate how life changes for the user. By painting a clear picture of the improved experience, the audience can emotionally connect with the product’s impact and see its real-world value. This storytelling technique helps move the conversation from abstract benefits to tangible outcomes.

Veronica concludes by reminding founders that great technology alone is not enough to succeed in today’s market. The products that get funded, bought, and talked about are those with the clearest, most compelling stories. By identifying the wound, making the product click, and showing the transformation, founders can ensure their AI products don’t fail due to misunderstanding but instead thrive and even explode in popularity. She encourages founders to share their challenges in storytelling to continue improving how AI products are communicated.