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

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AI Engineer· published 2026-07-05· 0:06:01· en-US· indexed 2026-08-11 05:28

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Scene timeline

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123 shot(s).

keyframes kept every frame deduplicated

What was stored

cues
88
whisperx 88
chunks
11
from 88 cues
keyframes
118
kept of 123 captured
frames with text
112
704 lines read
chapters
0
from the source metadata
keyframe bytes
12.5 MB
word timings on 88 cues

Provenance

Each pipeline stage, its state and the model that produced it
stage state model started took
fetch done — 2026-08-11 05:23 1m 26s
stt done — 2026-08-11 05:25 7s
chunk done — 2026-08-11 05:25 0s
text_embed done — 2026-08-11 05:25 0s
keyframe done — 2026-08-11 05:25 2m 09s
ocr done — 2026-08-11 05:27 24s
frame_embed done — 2026-08-11 05:27 20s

Frames, and what the machine read

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    shot 0·sharpness 401.1

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    2. INVESTOR0.93

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    1. 44 MONTGOME0.99
    2. EVACUATION PLAN1.00
    3. 31.00
    4. FIRE POLICE1.00
    5. PERSONS WITH DISABILITIES1.00
    6. IN CASE OF FIRE, USE STAIRS. DO NOT USE E0.98

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    1. Typical AI Pitch0.97

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    2. I DON'T0.95
    3. GET IT.0.92

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    6. VECTOR1.00
    7. ATTENTION1.00
    8. RAG1.00
    9. DIFFUSION MODELS1.00
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    11. MACHINE LEARNING1.00
    12. TOKENS1.00
    13. NEURAL NETWORKS0.99
    14. BACK PROPAGATON1.00
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Transcript

88 cues· 958 words· 5,368 chars

  1. 0:01 This is your buyer.
  2. 0:04 And this is the typical AI pitch.
  3. 0:06 We're building an agentic AI orchestration platform for enterprise knowledge retrieval.
  4. 0:13 Okay, simpler.
  5. 0:13 It's agents, but not just agents.
  6. 0:16 It's agents talking to other agents inside a multi-agent workflow.
  7. 0:21 No, no, stay with me.
  8. 0:22 It saves time, automates the things humans don't want to do.
  9. 0:24 It's autonomous intelligence for your workflows.
  10. 0:28 Sound familiar?
  11. 0:29 This is why so many AI products are in trouble.
  12. 0:32 Founders are shipping faster than ever.
  13. 0:34 Honestly, the tech is pretty epic.
  14. 0:36 But you only have one shot to make your mark.
  15. 0:39 And in this market, that shot lasts about the time it takes to ride an elevator.
  16. 0:43 Today, I'm going to show you the three-part fix for turning complex AI products into stories people instantly understand, remember, and want to buy.
  17. 0:53 I'm Veronica Hylak.
  18. 0:54 I've built products, made AI explainers that have hit 8 million views, and helped YC startups, safety orgs, and AI teams do exactly what I'm about to show you.
  19. 1:04 The whole method starts with one thing, the wound.
  20. 1:08 In other words, the biggest pain point.
  21. 1:11 What is hurting the customer?
  22. 1:13 What is the exact moment your user wants to throw their laptop out a window?
  23. 1:18 Yikes.
  24. 1:19 To demonstrate their wound, follow one rule.
  25. 1:23 Do not start with what you built.
  26. 1:25 The very first slide of your pitch should immerse people in their day to day of their job
  27. 1:31 and show them what they are already tired of doing.
  28. 1:33 So, bad pitch, we built an agentic orchestration SecOps platform for enterprises.
  29. 1:39 Yeah, that's a real pitch I've heard from a Series B startup recently.
  30. 1:43 Nobody feels anything when you say that.
  31. 1:45 Start with the human moment.
  32. 1:47 Security teams are exhausted managing dozens of disconnected tools.
  33. 1:52 Alerts live in one system, tickets in another, vulnerabilities in another, and the real investigation is buried in Slack threads and random screenshots.
  34. 2:00 We fix that by putting it all into one place.
  35. 2:04 That touches a wound because I understand the emotion now.
  36. 2:09 Overwhelmed, watching time bleed off the clock, making their lives harder for absolutely no reason.
  37. 2:15 And if your product actually relieves that pain, now I want to hear more.
  38. 2:21 The format is simple.
  39. 2:22 In about 20 seconds, you need to do three things.
  40. 2:25 Identify the wound, say, we fixed that, then show how.
  41. 2:29 Your product starts claiming space in their mind because now they can see exactly how it impacts their day to day.
  42. 2:37 Once you've shown them the wound, your next job is to make the product click.
  43. 2:43 Here's the test.
  44. 2:44 Could a 17-year-old understand what you do?
  45. 2:47 If not, you're probably going to lose the room.
  46. 2:50 One of the fastest ways to fix that is to tie your product to a viral story people already understand.
  47. 2:57 Think about the McDonald's AI drive-through clips where it started doing ridiculous things like putting bacon on ice cream.
  48. 3:04 you instantly get the problem, AI doing something stupid in public.
  49. 3:08 If that is your wheelhouse, do not open with, we are an agent observability platform.
  50. 3:14 Say, if McDonald's had used us, that drive-through never would have made it to TikTok.

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