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

AI Engineer · 6 min · 126 sentences · from YouTube's caption track

Each timecode opens YouTube at the start of that sentence. Line anchors (#s42) are the cue ids in the WebVTT, and every line carries its start and end seconds. All transcripts has every talk, and the whole corpus as one file.

  1. 00:00This is your buyer.
  2. 00:04And this is the typical AI pitch.
  3. 00:06We're building an agentic AI orchestration platform for enterprise knowledge retrieval.
  4. 00:12Okay, simpler.
  5. 00:13It's agents, but not just agents.
  6. 00:16It's agents talking to other agents inside a multi-agent workflow.
  7. 00:21No, no, stay with me.
  8. 00:22It saves time, automates the things humans don't want to do.
  9. 00:24It's autonomous intelligence for your workflows.
  10. 00:28Sound familiar?
  11. 00:29This is why so many AI products are in trouble.
  12. 00:32[snorts]
  13. 00:32Founders are shipping faster than ever.
  14. 00:34Honestly, the tech
  15. 00:35[music]
  16. 00:35is pretty epic, but you only have one shot to make your mark.
  17. 00:39And in this market, that shot lasts about the time it takes to ride an elevator.
  18. 00:43Today, I'm going to show you the three-part
  19. 00:45[music]
  20. 00:45fix for turning complex AI products into stories people instantly understand, remember, and want
  21. 00:52[music]
  22. 00:52to buy.
  23. 00:53I'm Veronica Hylick.
  24. 00:54I've built products, made AI explainers that have hit
  25. 00:56[music]
  26. 00:578 million views, and helped YC startups, safety orgs, and AI teams do exactly what I'm about to show you.
  27. 01:04The whole method starts with one thing.
  28. 01:07The wound.
  29. 01:08In other words, the biggest
  30. 01:10[music]
  31. 01:10pain point.
  32. 01:11What is hurting the customer?
  33. 01:13What is the exact moment your user wants to throw their laptop out a window?
  34. 01:18Yikes.
  35. 01:19To demonstrate their wound, follow one rule.
  36. 01:22Do not start with what you built.
  37. 01:25The very first slide of your pitch should immerse people in their day-to-day of their job.
  38. 01:31And show them what they are already tired of doing.
  39. 01:33So, a bad pitch, we built an agentic orchestration SecOps platform for enterprises.
  40. 01:38[music]
  41. 01:39Yeah, that's a real pitch I've heard from a series B startup recently.
  42. 01:42Nobody feels anything
  43. 01:44[music]
  44. 01:44when you say that.
  45. 01:45Start with the human moment.
  46. 01:47Security teams are exhausted managing dozens of disconnected tools.
  47. 01:51[music]
  48. 01:51Alerts live in one system, tickets in another, vulnerabilities in another, and the real investigation is buried in Slack threads and random screenshots.
  49. 01:59[music]
  50. 02:00We fix that by putting it all into one place.
  51. 02:04That touches a wound because I understand the emotion now.
  52. 02:09Overwhelmed watching time bleed off the clock, making their lives harder for absolutely no reason.
  53. 02:15And if your product actually relieves that pain, now I want to hear more.
  54. 02:21The format is simple.
  55. 02:22In about 20 seconds, you need to do three things.
  56. 02:25Identify the wound, say we fix that, then show how.
  57. 02:29Your product starts claiming
  58. 02:31[music]
  59. 02:31space in their mind because now they can see exactly how it impacts their day-to-day.
  60. 02:37Once you've shown them the wound, your next job is to make the product click.
  61. 02:43Here's the test.
  62. 02:44Could a 17-year-old understand what you do?
  63. 02:47If not, you're probably going to lose the room.
  64. 02:50One of the fastest ways to fix that is to tie your product to a viral story people already understand.
  65. 02:57Think about the McDonald's AI drive-thru clips where it started doing ridiculous things like putting bacon on ice cream.
  66. 03:04You
  67. 03:04[music]
  68. 03:04instantly get the problem, AI doing something stupid in public.
  69. 03:08If that is your wheelhouse, do not open with, "We are an agent observability platform."
  70. 03:14Say, "If McDonald's had used us, that drive-thru never would have made it to TikTok.
  71. 03:20We catch when AI agents go off script and give teams a chance to correct them before it becomes a PR nightmare."
  72. 03:27Now it clicks because
  73. 03:29[music]
  74. 03:30I can instantly see the value your product would bring.
  75. 03:33And if you really want to nail the product storytelling part, ban these words that no one can picture.
  76. 03:39[music]
  77. 03:39Give me a mental image instead.
  78. 03:42"Devon, the AI software engineer."
  79. 03:43Great.
  80. 03:44I can picture that instantly.
  81. 03:45[music]
  82. 03:46Or, "We're a smoke alarm for AI behavior."
  83. 03:48Also clear.
  84. 03:49Those are not perfect technical definitions,
  85. 03:51[music]
  86. 03:52and that is fine.
  87. 03:54At this stage, they don't have to be.
  88. 03:56They are the front doors into the rest of the conversation.
  89. 03:59[music]
  90. 03:59You can give the technical version later to close the sale.
  91. 04:03Just don't make it the first thing people have to understand.
  92. 04:06The final step is to show the transformation.
  93. 04:09This is where you stop describing the product and start proving its value.
  94. 04:14A lot of founders will say things like, "We improve code quality with AI."
  95. 04:18or "We increase productivity."
  96. 04:20That sounds nice, but I still do not know what actually changes for me once your product enters my world.
  97. 04:27Show me what life looks like before and show me the after.
  98. 04:31Before your support team spends 30 minutes digging through docs and tickets, with us, they ask one question and get the answer in 10 seconds with the sources attached.
  99. 04:42Now I understand the value because I can see the old world and the new one.
  100. 04:47If I cannot see what changed, I do not feel the story.
  101. 04:52So, let's go back to that elevator.
  102. 04:57Yeah, we already know how that ends.
  103. 04:59Let's try again.
  104. 05:00Your team is wasting hours digging through Slack, email, and random Excel spreadsheets just to find one piece of information that you need.
  105. 05:08We fix that.
  106. 05:10We connect all that fragmented knowledge in one
  107. 05:12[music]
  108. 05:12place so you can search it and get the answer you need in seconds.
  109. 05:17Same product, different story.
  110. 05:1915 years ago, if you built something great, the market might have found you.
  111. 05:23[music]
  112. 05:23That's not true anymore.
  113. 05:25The products with the clearest stories are the ones that get funded,
  114. 05:29[music]
  115. 05:30bought, and talked about.
  116. 05:32Great tech that nobody understands
  117. 05:34[music]
  118. 05:34dies quietly.
  119. 05:36Identify the wound, make your product click, show the transformation, then your idea won't fail
  120. 05:43[music]
  121. 05:43because nobody understands it.
  122. 05:45It will thrive and maybe even explode because you can explain it in an elevator.
  123. 05:52Founders, tell me what you've been running into.
  124. 05:54Leave a comment with your startup, and tell
  125. 05:56[music]
  126. 05:56me the biggest problem you've had with turning your product into a story.