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Full Workshop: Better Auth — Paola Estefania, Better Auth

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AI Engineer· published 2026-07-21· 0:40:55· en-US· indexed 2026-08-11 00:20

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Scene timeline

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132 shot(s).

keyframes kept every frame deduplicated

What was stored

cues
609
whisperx 609
chunks
73
from 609 cues
keyframes
30
kept of 132 captured
frames with text
30
1,001 lines read
chapters
0
from the source metadata
keyframe bytes
15.1 MB
word timings on 609 cues

Provenance

Each pipeline stage, its state and the model that produced it
stage state model started took
fetch done 2026-08-11 00:14 1m 05s
stt done 2026-08-11 00:15 38s
chunk done 2026-08-11 00:15 0s
text_embed done 2026-08-11 00:15 1s
keyframe done 2026-08-11 00:15 4m 12s
ocr done 2026-08-11 00:20 18s
frame_embed done 2026-08-11 00:20 5s

Frames, and what the machine read

  • 0:02 #0 done2 line(s)

    shot 0·sharpness 456.3

    1. AlEngineer0.96
    2. World's Fair1.00
  • 0:03 #1 done2 line(s)

    shot 1·sharpness 668.4

    1. AlEngineer0.95
    2. World's Fair0.99
  • 0:10 #2 done25 line(s)

    shot 2·sharpness 2737.6

    1. LAB & PLATINUM SPONSORS0.98
    2. Amazon AGI Lab0.97
    3. ANTHROP\C1.00
    4. Google DeepMind1.00
    5. MINIMAX0.98
    6. OpenAI0.92
    7. Akamai1.00
    8. arize1.00
    9. aws1.00
    10. Braintrust1.00
    11. bright data0.98
    12. B1.00
    13. Browserbase1.00
    14. docker1.00
    15. :neo4j0.94
    16. ORACLE1.00
    17. PayPal1.00
    18. qodo1.00
    19. reducto1.00
    20. Sonar1.00
    21. Makers of0.99
    22. together.ai0.96
    23. Unblocked1.00
    24. WorkOS1.00
    25. SonarQube1.00
  • 0:34 #3 done16 line(s)

    shot 3·sharpness 1808.4

    1. AlEngineer0.98
    2. World's Fair0.96
    3. AI ENGINEER AGENT AUTH1.00
    4. Hire your agent.1.00
    5. Agents should work for you without1.00
    6. pretending to be you.1.00
    7. 40.72
    8. PRESENTED BY1.00
    9. PAOLA ESTEFANIA1.00
    10. BEREKET ENGIDA1.00
    11. MI BETTER AUTH0.94
    12. Microsoft1.00
    13. agentauthprotocol.com0.98
    14. READ VIEW0.89
    15. Engineering the future of Al0.99
    16. World'sFair1.00
  • 0:50 #4 skipped

    shot 4·duplicate of #3

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    shot 5·duplicate of #3

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    shot 6·duplicate of #3

  • 2:16 #7 done14 line(s)

    shot 7·sharpness 1661.4

    1. AlEngineer0.97
    2. World'sFair0.99
    3. AI ENGINEER AGENT AUTH0.98
    4. Hire your agent.1.00
    5. Agents should work for you without1.00
    6. pretending to be you.0.99
    7. 40.98
    8. PAOLA ESTEFANIA1.00
    9. BEREKET ENGIDA0.99
    10. MI BETTER AUTH0.93
    11. agentauthprotocolLcom0.99
    12. READ VIEN0.85
    13. World's Fair0.97
    14. Engineering the future of Al0.99
  • 2:22 #8 skipped

    shot 8·duplicate of #7

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    shot 9·duplicate of #3

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    shot 12·duplicate of #7

  • 4:30 #13 done16 line(s)

    shot 13·sharpness 1463.5

    1. AlEngineer0.96
    2. World'sFair1.00
    3. Right now, we're faking all0.98
    4. three.1.00
    5. Once chat Al got wired to email, calendars, GitHub, payments — it0.99
    6. stopped being a chatbot problem. To let an agent act for you, you0.98
    7. answer three questions: capabilities, authorization, and identity.0.98
    8. Today we fake all three.1.00
    9. "You'd never give three employees the same password and no audit trail — you0.99
    10. wouldn't even hand them the CEO's login. You'd hire each one: their own0.99
    11. account, scoped to the job. So why do we give agents our identity instead of1.00
    12. hiring them?0.98
    13. Live poll: who's given an agent access to something - a key in .enw, an MCP0.98
    14. server, a CLI? Do you know which agent used it last?0.99
    15. READ VIEW0.90
    16. Engineering the future of Al0.98
  • 5:15 #14 done18 line(s)

    shot 14·sharpness 1591.6

    1. AlEngineer0.97
    2. World'sFair1.00
    3. Right now, we're faking all0.98
    4. three.0.97
    5. Once chat Al got wired to email, calendars, GitHub, payments — it1.00
    6. stopped being a chatbot problem. To let an agent act for you, you0.99
    7. answer three questions: capabilities, authorization, and identity.0.99
    8. PRESENTED BY1.00
    9. Today we fake all three.0.98
    10. "You'd never give three employees the same password and no audit trail — you0.99
    11. Microsoft1.00
    12. wouldn't even hand them the CEO's login. You'd hire each one: their own0.99
    13. account, scoped to the job. So why do we give agents our identity instead of0.99
    14. hiring them?0.99
    15. Live poll: who's given an agent access to something - a key in .enw, an MCP0.97
    16. server, a CLI? Do you know which agent used it last?1.00
    17. READ VIEW0.91
    18. Engineering the future of Al0.98
  • 5:35 #15 skipped

    shot 15·duplicate of #14

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    shot 16·duplicate of #14

  • 6:17 #17 skipped

    shot 17·duplicate of #13

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    shot 20·duplicate of #13

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    shot 21·duplicate of #13

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    shot 22·duplicate of #13

  • 8:45 #23 skipped

    shot 23·duplicate of #13

Transcript

609 cues· 5,445 words· 27,361 chars

  1. 0:12 Well, hello, everyone.
  2. 0:14 Can you hear me all okay?
  3. 0:15 Yes?
  4. 0:16 Perfect.
  5. 0:17 Well, welcome to our talk, our workshop, actually.
  6. 0:23 I know maybe you were expecting Birgit also.
  7. 0:26 He couldn't come, but we make this workshop together for you, okay?
  8. 0:30 So, as you see, you have the QR code.
  9. 0:33 You can go ahead and go there.
  10. 0:34 It's our page for Asian Health Protocol, so that you have it and I don't have to spell it for you.
  11. 0:43 Okay, so my whole idea today is instead of like me telling you stuff and you do this and show you how to do stuff, I want us to take one hour at least to think about Asian security, Asian doubts.
  12. 0:59 Because sometimes we are excited about like this new AI era, right?
  13. 1:02 But we never think about, or maybe yes, but not as much as I wished.
  14. 1:09 What happens when you, for example, say, hey, agents, where are my, maybe my schedule for tomorrow?
  15. 1:18 Where are, send an email.
  16. 1:20 Have you ever thought of this?
  17. 1:21 How many of you, like raise your hand, like how many of you use AEI Agents every day?
  18. 1:27 Okay, higher.
  19. 1:27 Don't be shy.
  20. 1:29 Okay, great.
  21. 1:30 How many of you give them access to your Gmail, to your calendar, to your personal accounts?
  22. 1:35 How many of you?
  23. 1:37 Oh, so much less.
  24. 1:38 Okay.
  25. 1:39 The ones that do, like, what do you do?
  26. 1:40 Like, you connect an MCP server?
  27. 1:42 Okay, yes.
  28. 1:44 And they have another one.
  29. 1:45 Good.
  30. 1:46 Maybe you connect, like, your personal token to, like, dot endpoint.
  31. 1:52 Okay.
  32. 1:52 So what happens when we do this?
  33. 1:56 We're actually doing like the Asians, it's acting on behalf of us, but pretending to be us.
  34. 2:03 So do you think that's a good idea?
  35. 2:07 Yes or no?
  36. 2:08 Who thinks it's a good idea?
  37. 2:12 Not a great idea, why?
  38. 2:20 Exactly, and why we didn't thought about this like before?
  39. 2:25 OK, so it doesn't matter.
  40. 2:26 Here we are.
  41. 2:27 We are thinking about it.
  42. 2:28 I always remember the time when internet came.
  43. 2:31 I'm almost 40, so I remember.
  44. 2:34 And everybody was so happy about it.
  45. 2:36 But then it started to question, OK, the whole data is public.
  46. 2:41 It's like, we are in the same moment today, right?
  47. 2:45 We are really excited about AI, and then after, we start to think about security.
  48. 2:49 But it's good.
  49. 2:51 So why I put there, hire your agent?
  50. 2:55 The analogy I want you to think about, let's say you have a company or a part of a company and you hire someone.

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