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Notion's Token Town — Sarah Sachs, Notion

index_state ready data_status ok

AI Engineer· published 2026-07-23· 0:23:55· en-US· indexed 2026-08-10 19:41

Open on YouTube

Scene timeline

  1. Shot 0, 0:00 to 0:03, 1 of 1 keyframes kept
  2. Shot 1, 0:03 to 0:05, 1 of 1 keyframes kept
  3. Shot 2, 0:05 to 0:12, 1 of 1 keyframes kept
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  53. Shot 52, 17:32 to 17:47, 1 of 1 keyframes kept
  54. Shot 53, 17:47 to 17:52, 1 of 1 keyframes kept
  55. Shot 54, 17:52 to 18:00, 1 of 1 keyframes kept
  56. Shot 55, 18:00 to 18:08, 1 of 1 keyframes kept
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  58. Shot 57, 18:15 to 18:47, 1 of 1 keyframes kept
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  61. Shot 60, 18:59 to 19:15, 1 of 1 keyframes kept
  62. Shot 61, 19:15 to 19:33, 1 of 1 keyframes kept
  63. Shot 62, 19:33 to 19:37, 1 of 1 keyframes kept
  64. Shot 63, 19:37 to 19:52, 1 of 1 keyframes kept
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  71. Shot 70, 21:40 to 21:47, 1 of 1 keyframes kept
  72. Shot 71, 21:47 to 21:51, 0 of 1 keyframes kept
  73. Shot 72, 21:51 to 22:07, 0 of 1 keyframes kept
  74. Shot 73, 22:07 to 22:25, 1 of 1 keyframes kept
  75. Shot 74, 22:25 to 22:32, 1 of 1 keyframes kept
  76. Shot 75, 22:32 to 22:52, 1 of 1 keyframes kept
  77. Shot 76, 22:52 to 23:28, 1 of 1 keyframes kept
  78. Shot 77, 23:28 to 23:36, 1 of 1 keyframes kept
  79. Shot 78, 23:36 to 23:38, 1 of 1 keyframes kept
  80. Shot 79, 23:38 to 23:54, 0 of 1 keyframes kept

80 shot(s).

keyframes kept every frame deduplicated

What was stored

cues
311
whisperx 311
chunks
43
from 311 cues
keyframes
60
kept of 80 captured
frames with text
60
1,657 lines read
chapters
14
from the source metadata
keyframe bytes
11.2 MB
word timings on 311 cues

Provenance

Each pipeline stage, its state and the model that produced it
stage state model started took
fetch done — 2026-08-09 23:04 0s
stt done — 2026-08-09 13:13 38s
chunk done — 2026-08-09 13:14 0s
text_embed done — 2026-08-10 19:40 1s
keyframe done — 2026-08-09 13:14 3m 34s
ocr done — 2026-08-09 13:17 29s
frame_embed done — 2026-08-10 19:40 11s

Frames, and what the machine read

  • 0:02 #0 done2 line(s)

    shot 0·sharpness 459.9

    1. AlEngineer0.96
    2. World's Fair1.00

  • 0:03 #1 done2 line(s)

    shot 1·sharpness 662.1

    1. AlEngineer0.95
    2. World's Fair0.99

  • 0:10 #2 done24 line(s)

    shot 2·sharpness 2744.8

    1. LAB & PLATINUM SPONSORS0.99
    2. Amazon AGI Lab0.98
    3. ANTHROP\C1.00
    4. Google DeepMind1.00
    5. MINIMAX0.94
    6. OpenAI0.92
    7. Akamai1.00
    8. arize1.00
    9. aws1.00
    10. Braintrust bright data0.98
    11. B1.00
    12. Browserbase1.00
    13. docker1.00
    14. :neo4j0.92
    15. ORACLE1.00
    16. PayPal1.00
    17. qodo1.00
    18. reducto1.00
    19. Sonar1.00
    20. Makers of1.00
    21. togetherai1.00
    22. Unblocked1.00
    23. WorkOS1.00
    24. SonarQube1.00

  • 0:16 #3 done82 line(s)

    shot 3·sharpness 2361.8

    1. ORACLE1.00
    2. arize1.00
    3. Google DeepMind1.00
    4. (neo4]0.62
    5. Z.AI0.99
    6. bright data0.98
    7. extend1.00
    8. vast.ai1.00
    9. Ref.1.00
    10. RedHat1.00
    11. mezmo^{0.85
    12. RELA0.99
    13. Modal1.00
    14. promptql1.00
    15. THE VELOCITY ROOM0.93
    16. fiddler1.00
    17. ZERO0.99
    18. eer1.00
    19. comet1.00
    20. authe0.98
    21. World'sF0.98
    22. OrIOOo0.54
    23. PRIOR1.00
    24. World's Fair0.99
    25. DigitalOcean1.00
    26. POSTHAN0.91
    27. Modular1.00
    28. MERGE1.00
    29. AUTOMATTIC1.00
    30. ildkite0.92
    31. yugabyteD80.97
    32. Zed1.00
    33. Keycard1.00
    34. Meticulous1.00
    35. GRAVITEE1.00
    36. CO INNGEST0.87
    37. BAND1.00
    38. Cleric0.99
    39. À ATLASSIAN0.94
    40. World'sFa0.93
    41. FACTORY1.00
    42. World'sFa0.97
    43. baseten1.00
    44. forld'sF0.97
    45. Snorkel0.96
    46. Z.AI0.99
    47. PayPal1.00
    48. Gradium0.98
    49. ANTHROP\C0.96
    50. :neo4]0.80
    51. arize1.00
    52. reducto1.00
    53. OpenAl0.94
    54. orld'sF0.98
    55. WorkOS0.96
    56. World'sFa0.99
    57. Amazon AGI Lab1.00
    58. Microsoft0.97
    59. World'sFai0.89
    60. ORACLE0.99
    61. World'sFe0.93
    62. Braintrust1.00
    63. OpenAl0.96
    64. MINPAX0.96
    65. Z.AI0.99
    66. ANTHROPIC0.99
    67. 50.57
    68. DATADOG0.99
    69. Vorld'sF0.96
    70. or0.77
    71. Op0.99
    72. LanceDB1.00
    73. buildecio0.94
    74. Ravenna0.95
    75. CopilotKit1.00
    76. descpe0.95
    77. World'sFa0.99
    78. TOP0.99
    79. World'sFa0.99
    80. cognee1.00
    81. eNCORD0.92
    82. World'sF0.98

  • 0:40 #4 done24 line(s)

    shot 4·sharpness 4953.8

    1. AlEngineer1.00
    2. World'sFair1.00
    3. Welcome to0.99
    4. PRESENTED BY1.00
    5. Cheap1.00
    6. TOKENS1.00
    7. OKENS1.00
    8. TOKENS1.00
    9. Microsoft1.00
    10. Token Town0.97
    11. TOKENS0.93
    12. FOR SALE!0.99
    13. SOLD HERE1.00
    14. TOKENS0.99
    15. How not to go from Al-1.00
    16. 100%. SMART0.92
    17. TOKENN0.80
    18. SHART!0.96
    19. pilled to Al-poor1.00
    20. Braintrus0.96
    21. zineer0.91
    22. 'sFait0.91
    23. Engineering the future of Al0.98
    24. LARE1.00

  • 1:11 #5 skipped

    shot 5·duplicate of #4

  • 1:30 #6 done18 line(s)

    shot 6·sharpness 1504.5

    1. figma.com/deck/kzokD9Ewqz6oY0tpBUjB8Q/TokenTown---Sarah-talk?node-id=2180-6340.99
    2. AlEngineer0.99
    3. World'sFair1.00
    4. Tomorrow's1.00
    5. PRESENTED BY0.99
    6. tools today.0.99
    7. Think it. Make it.0.95
    8. Microsoft1.00
    9. → notion.com0.97
    10. AlEngineer0.98
    11. trust1.00
    12. World'sI0.97
    13. Fair1.00
    14. togeth1.00
    15. Engineering the future of Al1.00
    16. - AlEngineer0.93
    17. orld'sI0.92
    18. LARE1.00

  • 1:44 #7 done18 line(s)

    shot 7·sharpness 2133.3

    1. --Sarah-talk?node-id=2180-6340.98
    2. AlEngineer0.99
    3. World's Fair0.99
    4. PRESENTED BY1.00
    5. I negotiate Al0.99
    6. Microsoft1.00
    7. contracts for1.00
    8. a living.1.00
    9. Engineer1.00
    10. d'sFair1.00
    11. #Brai0.94
    12. AlEngi0.98
    13. 1WS0.86
    14. Vorld'1.00
    15. Engineering the future of Al1.00
    16. Engineer -0.87
    17. d'sFa1.00
    18. CLOUDF1.00

  • 1:57 #8 done13 line(s)

    shot 8·sharpness 2009.7

    1. AlEngineer0.98
    2. World'sFair1.00
    3. PRESENTED BY0.99
    4. Microsoft1.00
    5. AlEngineer-0.92
    6. trust1.00
    7. World'sF1.00
    8. ;Fair0.87
    9. togeth1.00
    10. Engineering the future of Al0.99
    11. AlEngineer0.99
    12. 'orld'sF1.00
    13. .ARE1.00

  • 2:10 #9 done14 line(s)

    shot 9·sharpness 1777.1

    1. AlEngineer1.00
    2. World's Fair0.98
    3. PRESENTED BY0.99
    4. Microsoft1.00
    5. November1.00
    6. 20261.00
    7. March1.00
    8. May1.00
    9. Braintrus1.00
    10. Wol0.91
    11. AlEngineer —0.96
    12. orld'sF0.98
    13. Engineering the future of Al0.99
    14. OUDFLA1.00

  • 2:35 #10 done81 line(s)

    shot 10·sharpness 1710.3

    1. figma.com/deck/kzokD9Ewqz6oY0tpBUjB8Q/TokenTown---Sarah-talk?node-id=2180-6340.99
    2. AlEngineer0.94
    3. Ramp HQ0.94
    4. World's Fair0.98
    5. Ramp1.00
    6. Share ☆…0.93
    7. Q Search0.99
    8. Home1.00
    9. Meetings1.00
    10. Notion Al0.99
    11. 人0.57
    12. Ramp HQ0.93
    13. Inbox0.92
    14. Agents1.00
    15. Task routing agent0.99
    16. Company tasksMy tasks Current sprint Timeline0.95
    17. New0.99
    18. PRESENTED BY1.00
    19. Status update agent1.00
    20. Q&A agent0.98
    21. To-do 120.98
    22. In progress0.97
    23. In review 20.96
    24. Complete 350.98
    25. IT help desk0.99
    26. Review performance metrics1.00
    27. Sales demo sync1.00
    28. Marketing campaign designs1.00
    29. Weekly sales status report1.00
    30. Microsoft1.00
    31. Onboarding buddy0.99
    32. + New agent0.98
    33. Respond to beta test questions1.00
    34. Launch demo video0.97
    35. Latest features customer emails1.00
    36. Project onboarding1.00
    37. Company HQ0.94
    38. Teamspaces0.98
    39. Plan upcoming sprint goals1.00
    40. Headcount planning1.00
    41. + New page0.99
    42. Finalize launch timeline1.00
    43. Product1.00
    44. Update onboarding1.00
    45. Engineering sync1.00
    46. All hands alignment1.00
    47. Engineering1.00
    48. documentation and guides0.99
    49. Private1.00
    50. Customer stories1.00
    51. IT inventory audit1.00
    52. Draft press release1.00
    53. My OS0.99
    54. 1:1 Notes0.98
    55. Refresh product color palette0.99
    56. + New page1.00
    57. Report daily performance1.00
    58. summaries1.00
    59. X Tasks0.90
    60. AlEnginee0.98
    61. Notion apps0.98
    62. Notion Mail0.96
    63. Review latest marketing1.00
    64. approach and sprints1.00
    65. Product launch weekly report1.00
    66. Project kickoff1.00
    67. ntrust1.00
    68. Norld's1.00
    69. Notion Calendar1.00
    70. service updates1.00
    71. Code review for authentication1.00
    72. Marketing team status report1.00
    73. Office supplies reorder1.00
    74. Financial planning1.00
    75. neer1.00
    76. sFair0.89
    77. togetl0.97
    78. Engineering the future of Al0.99
    79. AlEngineer0.98
    80. Vorld's1.00
    81. LARI1.00

  • 2:56 #11 done39 line(s)

    shot 11·sharpness 3129.8

    1. figma.com/deck/kzokD9Ewqz6oY0tpBUjB8Q/TokenTown---Sarah-talk?node-id=2180-6341.00
    2. AlEngineer0.98
    3. Level 40.98
    4. World's Fair0.97
    5. Al as the1.00
    6. Level 30.99
    7. System1.00
    8. Al as1.00
    9. Run critical workflows,1.00
    10. Teammates1.00
    11. scale organizational capacity1.00
    12. Automate repetitive work,1.00
    13. increase team efficiency0.98
    14. PRESENTEDBY1.00
    15. Value0.82
    16. Al as an0.96
    17. Level 20.96
    18. Assistant1.00
    19. Microsoft1.00
    20. Complete individual tasks1.00
    21. faster, save employee time1.00
    22. Level 10.94
    23. E0.52
    24. Al as a0.98
    25. Thought Partner1.00
    26. Help people explore ideas,0.99
    27. improve decisions1.00
    28. 米0.52
    29. I's Fair0.94
    30. igineer0.96
    31. Opel0.93
    32. Automation1.00
    33. AlEngin0.99
    34. jethera0.97
    35. World's0.95
    36. Engineering the future of Al0.99
    37. igineer0.96
    38. d's Fai0.95
    39. DAT/0.88

  • 3:29 #12 skipped

    shot 12·duplicate of #11

  • 3:54 #13 skipped

    shot 13·duplicate of #11

  • 4:32 #14 done38 line(s)

    shot 14·sharpness 2978.1

    1. figma.com/deck/kzokD9Ewqz6oY0tpBUjB8Q/TokenTown---Sarah-talk?node-ld=2180-6340.99
    2. AlEngineer1.00
    3. World's Fair0.99
    4. Level 41.00
    5. Al as the0.98
    6. Level 30.97
    7. System1.00
    8. Al as0.98
    9. Run critical workflows,0.99
    10. scale organizational cap1.00
    11. Teammates1.00
    12. Automate repetitive work,1.00
    13. increase team efficiency0.98
    14. PRESENTED BY0.97
    15. Value0.85
    16. Al as an1.00
    17. Level 20.96
    18. Microsoft1.00
    19. Assistant1.00
    20. Complete individual tasks1.00
    21. faster, save employee time1.00
    22. Level11.00
    23. E0.59
    24. Al as a0.95
    25. Thought Partner1.00
    26. Help people explore ideas,1.00
    27. improve decisions1.00
    28. All0.96
    29. Braintr0.93
    30. Worl1.00
    31. Automation1.00
    32. AlEngi0.93
    33. rld0.99
    34. to1.00
    35. Engineering the future of Al1.00
    36. All0.96
    37. Worl1.00
    38. IUDF0.86

  • 4:45 #15 done39 line(s)

    shot 15·sharpness 3669.4

    1. figma.com/deck/kzokD9Ewqz6oY0tpBUjB8Q/TokenTown---Sarah-talk?node-id=2180-6340.99
    2. AlEngineer0.98
    3. World'sFair1.00
    4. 05-29-2026 | NEWS0.96
    5. One company spent half a billion0.99
    6. dollars on Claude in a single month:1.00
    7. Report comes as Al costs climb1.00
    8. AI·TECH0.99
    9. An Al consultant told Axios their client didn't set limits on employees' Claude0.99
    10. license usage, resulting in a sS00 million bill.0.93
    11. PRESENTED BY1.00
    12. Uber burned through its entire1.00
    13. SHAR0.86
    14. ADD ON GOOGLE0.92
    15. Microsoft1.00
    16. 2026 AI budget in four months.1.00
    17. Now its CO0 is questioning0.97
    18. AI · TECH0.90
    19. whether it's worth it1.00
    20. Microsoft reports are exposing AI's0.98
    21. By Jake Angelo1.00
    22. News Fellow1.00
    23. Add us on G0.96
    24. 80.84
    25. real cost problem: Using the tech is1.00
    26. May 26, 2026, 2:03 PM ET1.00
    27. more expensive than paying1.00
    28. human employees0.97
    29. orld's Fair0.95
    30. AlEngineer0.99
    31. OF0.72
    32. By Jake Angelo0.99
    33. News Fellow1.00
    34. May 22, 2026, 12:56 PM ET0.98
    35. Add us onG0.93
    36. togeth0.93
    37. Nor1.00
    38. Engineering the future of Al0.99
    39. orld's Fi0.87

  • 4:54 #16 done20 line(s)

    shot 16·sharpness 2105.0

    1. figma.com/deck/kzokD9Ewqz6oY0tpBUjB8Q/TokenTown---Sarah-talk?node-id=2180-6340.99
    2. AlEngineer0.99
    3. World's Fair0.99
    4. PRESENTED BY1.00
    5. TurnerNovak1.00
    6. Follow1.00
    7. Microsoft1.00
    8. @TurnerNovak1.00
    9. Uber employees using $100k of Claude tokens to1.00
    10. respond to an email0.99
    11. AlEn0.91
    12. aintrust1.00
    13. Work0.91
    14. Engineer1.00
    15. 1d'sF0.93
    16. tog0.99
    17. Engineering the future of Al1.00
    18. AlEn0.92
    19. Worlc0.99
    20. JDFL1.00

  • 5:17 #17 done14 line(s)

    shot 17·sharpness 1869.7

    1. figma.com/deck/kzokD9Ewqz6oY0tpBUjB8Q/TokenTown---Sarah-talk?node-id=2180-6340.99
    2. AlEngineer0.99
    3. World'sFair1.00
    4. PRESENTED BY0.97
    5. Cost is a structural barrier to entry.1.00
    6. Microsoft1.00
    7. AlEngineer0.99
    8. ise0.92
    9. rld'sFair1.00
    10. ir1.00
    11. Jsoe0.94
    12. Engineering the future of Al1.00
    13. JEngineer1.00
    14. Id'sFair0.99

  • 5:44 #18 done24 line(s)

    shot 18·sharpness 2784.3

    1. figma.com/deck/kzokD9Ewqz6oY0tpBUjB8Q/TokenTown---Sarah-talk?node-id=2180-6340.99
    2. AlEngineer0.98
    3. World's Fair0.96
    4. The token market feels1.00
    5. structured against buyers1.00
    6. Exhibit A1.00
    7. Exhibit B1.00
    8. A reasoning model gets upgraded at1.00
    9. A successor model makes significant steps1.00
    10. identical per-token pricing.1.00
    11. in reasoning.1.00
    12. Upgrade uses ~3x more output tokens1.00
    13. Costs40% more than its predecessor.0.99
    14. for certain tasks.0.98
    15. AlEng0.94
    16. owserbase1.00
    17. World1.00
    18. Id's0.76
    19. Engin1.00
    20. :rud0.83
    21. Engineering the future of Al0.98
    22. daily0.97
    23. - AlEng0.82
    24. Vorld1.00

  • 6:14 #19 skipped

    shot 19·duplicate of #18

  • 6:40 #20 done19 line(s)

    shot 20·sharpness 2358.7

    1. AlEngineer0.98
    2. World's Fair0.98
    3. FORTUNE1.00
    4. The Fortune 500 has0.99
    5. dedicated Al teams1.00
    6. GLOBAL1.00
    7. Everyone else negotiates1.00
    8. alone, with no leverage1.00
    9. PLUS THE MOST POWERFUL PEOPLE IN BUSINESS1.00
    10. rld'sFa1.00
    11. AlEngineer0.99
    12. Op0.99
    13. AIE1.00
    14. Jsoe0.97
    15. Worl1.00
    16. Engineering the future of Al0.99
    17. AlEngineer -0.97
    18. rld'sl0.92
    19. Bl0.68

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    shot 22·duplicate of #20

  • 7:33 #23 done19 line(s)

    shot 23·sharpness 2746.9

    1. AlEngineer0.99
    2. World'sFair1.00
    3. Your supplier is also your competitor0.99
    4. Lock in with no exit1.00
    5. Tie yourself to cheaper provider today.1.00
    6. Prices change and your left with no where to go.1.00
    7. Value you can't defend1.00
    8. You must provide additional value to supersede the1.00
    9. obvious "bad deal" you have on tokens.1.00
    10. gineer1.00
    11. I'sFair0.97
    12. Opel0.91
    13. oe0.99
    14. AlEngin0.97
    15. 'orld's0.92
    16. Engineering the future of Al0.98
    17. I'sFaí0.94
    18. gineer1.00
    19. Buil0.99

Transcript

311 cues· 3,928 words· 21,451 chars

  1. 0:21 OK, hello.
  2. 0:22 OK, before I get started, you guys, this is a huge keynote room.
  3. 0:26 Can everyone come forward?
  4. 0:28 Because I'm talking to four empty rows and dispersed people.
  5. 0:31 Do me a favor.
  6. 0:32 I'm spending 30 minutes telling you all of our secrets.
  7. 0:35 I can see you still.
  8. 0:36 Thank you, thank you, thank you, thank you.
  9. 0:38 We're just going to chat.
  10. 0:39 It's a giant room, and there's 500 of us.
  11. 0:42 This room is way larger than that.
  12. 0:44 Thank you.
  13. 0:45 Honestly, I knew you guys had it in you.
  14. 0:48 It's really not so hard, thank you.
  15. 0:50 I also sit in the back, I also work during talks, I get it.
  16. 0:55 I totally get it, I did all day, but not for me.
  17. 0:58 Okay, I'm gonna start, but I'm gonna still point at you if you're in the back, like you.
  18. 1:03 I'm Sarah, I lead our engineering teams for AI at Notion.
  19. 1:09 Welcome to my talk.
  20. 1:10 It's about token town.
  21. 1:13 How do you go from, not go, from AI-pilled to AI-poor, okay?
  22. 1:19 I know that today's all about software factories.
  23. 1:22 We're gonna talk about that, but we're gonna talk about how to do it sustainably.
  24. 1:25 This is me, this is on my first day at Notion in a very sweaty subway.
  25. 1:31 Like I said, I lead our AI teams at Notion, and I negotiate AI contracts for a living.
  26. 1:36 My team jokes I act like Anna Wintour, so this is a nice image of me with AI Anna Wintour hair after a press article referred to me that externally.
  27. 1:46 And that's kind of the idea, right?
  28. 1:48 How do you think about negotiating between different vendors, making sure that you maintain taste for your company?
  29. 1:56 I don't do it alone.
  30. 1:57 This is launch day of one of our recent launches.
  31. 2:00 This is just a subset.
  32. 2:01 Any good engineering manager points out that we have a whole company of people building this.
  33. 2:05 I'm just the one that gets to come talk to you about it.
  34. 2:08 So we've been building a lot.
  35. 2:10 This is an example of our AI usage just in 2026.
  36. 2:16 And we've been really proud of how we've been able to grow that usage.
  37. 2:19 And I'm going to talk to you about how you can build an AI native product and an AI native company.
  38. 2:25 But this is just to give me some credit that we're doing it kind of well.
  39. 2:30 So for those of you that don't know, Notion's always been that durable system of record.
  40. 2:34 It's always been the place where you can collaborate with your peers.
  41. 2:38 But today, that point of collaboration is a little bit different.
  42. 2:40 It's not just humans.
  43. 2:42 Notion's always been the place for collaboration.
  44. 2:44 And today, that collaboration happens between humans and agents, humans and humans, agents and agents.
  45. 2:52 And we like to think about AI transformations going through this journey.
  46. 2:56 And I'm sure some of you are looking at the slide and wondering where you are.
  47. 2:59 AI as a thought partner is when we all started tinkering.
  48. 3:03 We all started just going to the very first version of ChatGPT on Thanksgiving when it came out, three years ago, four years ago.
  49. 3:10 And we started saying like, how can I send this email to my landlord to say that I shouldn't pay for repainting, right?
  50. 3:17 And then we'd copy paste it, enter it into our email.

Chapters

  1. 0:00 Welcome to Token Town: AI poor vs AI rich
  2. 1:25 Negotiating AI contracts as Notion's AI Anna Wintour
  3. 2:30 The AI transformation journey and the system of record
  4. 4:46 Why cost is the structural barrier
  5. 5:34 The monthly model pricing traps
  6. 7:28 Your supplier is your competitor
  7. 8:44 Win on product, not token economics
  8. 9:50 Not all traffic belongs on the frontier model
  9. 12:10 Optionality is your leverage
  10. 13:25 The auto model and the model agnostic playbook
  11. 15:04 Open weight models for the middle
  12. 17:00 CPUs over GPUs and governance
  13. 17:53 Security: the lethal trifecta
  14. 19:46 Live demo: orchestrating Notion agents into a PR

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