AI founders should begin with the customer's painful daily problem instead of the product's technical architecture.
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A product becomes easier to understand when it is connected to a familiar story or a concrete mental image.
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Founders need to show the change their product creates by comparing the customer's old workflow with the new one.
Summary
Veronica Hylak presents a three-part method for explaining complex AI products. First, start with the customer's wound: the frustrating moment in their work, such as security teams searching across disconnected tools or support staff digging through tickets and documentation. Then make the product click by using a familiar story or an image people can picture. She contrasts terms such as "agent observability platform" with descriptions like "a smoke alarm for AI behavior." The technical explanation can come later. Finally, show the transformation in concrete terms. Instead of saying that a product improves productivity, describe the old process and the new one, such as replacing 30 minutes of searching with a sourced answer in 10 seconds. Hylak argues that clear storytelling now affects whether products get funded, bought, and discussed, because strong technology can fail when buyers cannot understand its value quickly.
Hylak defines the wound as the customer's biggest pain point, the moment when a user wants to throw their laptop out the window. She tells founders not to begin with what they built. The opening slide should place people inside the user's workday and show what they are already tired of doing. For a security product, that means describing alerts, tickets, vulnerabilities, Slack threads, and screenshots scattered across different places. The audience can feel the exhaustion before hearing about the software. Hylak's point is practical: if the product truly relieves a pain the buyer recognizes, the buyer has a reason to keep listening.
A short pitch has to name the pain, offer a fix, and explain how
Hylak gives founders a compact structure for the opening of a pitch. In about 20 seconds, identify the wound, say "we fix that," and then show how the product fixes it. Her example moves from security teams managing dozens of disconnected tools to putting the information in one place. This sequence gives the product a place in the buyer's day-to-day life. The audience can see what is going wrong, what the company promises to change, and where the product fits. Starting with architecture or category language skips the part that makes the problem feel real.
A familiar public story can make an unfamiliar product click
Hylak suggests connecting a product to a story that people already understand. She uses clips of McDonald's AI drive-thru system doing absurd things, such as putting bacon on ice cream. Anyone who has seen that example can understand the problem of AI behaving badly in public. An agent-monitoring company could say that if McDonald's had used its product, the incident might have been caught before reaching TikTok. The comparison gives the audience an immediate picture of the product's value. It also replaces a technical opening such as "agent observability platform" with a consequence people already recognize: an AI system going off script and creating a public relations problem.
Concrete images work better than technical category words at the start
Hylak asks whether a 17-year-old could understand the product description. She recommends banning words that listeners cannot picture and replacing them with an image. "Devon, the AI software engineer" gives people something concrete to imagine. So does "a smoke alarm for AI behavior." These phrases are not complete technical definitions, and Hylak says they do not need to be at this stage. They are entry points into the conversation. Founders can give the precise technical explanation later, when the audience already understands why the product matters.
The final part of Hylak's method is to show what changes when the product enters the customer's work. Statements such as "we improve code quality with AI" or "we increase productivity" do not show enough. Her support example is more concrete: before, a support team spends 30 minutes searching through documents and tickets; after, someone asks one question and gets an answer in 10 seconds with sources attached. The comparison lets the buyer see the old world and the new one. Without a visible change, Hylak says, the audience does not feel the story or understand the product's value.
The same product can sound different when the story changes
Hylak returns to the elevator test and rewrites a pitch about finding information. The first version describes a team wasting hours searching Slack, email, and Excel spreadsheets for one needed fact. It then says the product connects fragmented knowledge in one place, so users can search it and get an answer in seconds. The product has not changed. The explanation has. The second version makes the user's frustration, the proposed fix, and the resulting benefit easy to picture within a short conversation.
Clear explanations now affect whether products get attention
Hylak contrasts today's market with the market 15 years ago. She says that a strong product might once have been discovered by the market without a clear explanation. She does not think that is true anymore. In her view, products with clearer stories are the ones that get funded, bought, and talked about. Technical quality alone cannot rescue a product that buyers do not understand. Her closing sequence is the full method: identify the wound, make the product click, and show the transformation.
"If I cannot see what changed, I do not feel the story."04:40
Who should watch
You are a technical founder whose pitch leads with agents, orchestration, retrieval, or another category buyers cannot picture.
Your product solves a real operational problem, but prospects still ask what changes for them after they buy it.
You need to rewrite an opening pitch, demo introduction, or first slide around a recognizable customer problem.
