vidtheque.

read-only demo

Videos 9arM9b7JgOo

Develop at Idea Velocity - Jeffrey Lee-Chan, Snapchat

index_state ready data_status ok

AI Engineer· published 2026-07-11· 0:15:28· en-US· indexed 2026-08-11 04:11

Open on YouTube

Scene timeline

  1. Shot 0, 0:00 to 0:01, 1 of 1 keyframes kept
  2. Shot 1, 0:01 to 0:28, 1 of 1 keyframes kept
  3. Shot 2, 0:28 to 0:55, 0 of 1 keyframes kept
  4. Shot 3, 0:55 to 1:01, 1 of 1 keyframes kept
  5. Shot 4, 1:01 to 1:09, 1 of 1 keyframes kept
  6. Shot 5, 1:09 to 1:35, 1 of 1 keyframes kept
  7. Shot 6, 1:35 to 2:01, 0 of 1 keyframes kept
  8. Shot 7, 2:01 to 2:06, 1 of 1 keyframes kept
  9. Shot 8, 2:06 to 2:37, 1 of 1 keyframes kept
  10. Shot 9, 2:37 to 3:08, 0 of 1 keyframes kept
  11. Shot 10, 3:08 to 3:13, 1 of 1 keyframes kept
  12. Shot 11, 3:13 to 3:15, 0 of 1 keyframes kept
  13. Shot 12, 3:15 to 3:40, 1 of 1 keyframes kept
  14. Shot 13, 3:40 to 4:06, 0 of 1 keyframes kept
  15. Shot 14, 4:06 to 4:11, 1 of 1 keyframes kept
  16. Shot 15, 4:11 to 4:58, 1 of 1 keyframes kept
  17. Shot 16, 4:58 to 5:00, 1 of 1 keyframes kept
  18. Shot 17, 5:00 to 5:35, 0 of 1 keyframes kept
  19. Shot 18, 5:35 to 6:11, 1 of 1 keyframes kept
  20. Shot 19, 6:11 to 6:16, 1 of 1 keyframes kept
  21. Shot 20, 6:16 to 6:44, 1 of 1 keyframes kept
  22. Shot 21, 6:44 to 7:12, 0 of 1 keyframes kept
  23. Shot 22, 7:12 to 7:40, 0 of 1 keyframes kept
  24. Shot 23, 7:40 to 7:47, 1 of 1 keyframes kept
  25. Shot 24, 7:47 to 7:54, 1 of 1 keyframes kept
  26. Shot 25, 7:54 to 7:58, 0 of 1 keyframes kept
  27. Shot 26, 7:58 to 8:29, 0 of 1 keyframes kept
  28. Shot 27, 8:29 to 8:48, 1 of 1 keyframes kept
  29. Shot 28, 8:48 to 9:13, 1 of 1 keyframes kept
  30. Shot 29, 9:13 to 9:15, 0 of 1 keyframes kept
  31. Shot 30, 9:15 to 9:21, 1 of 1 keyframes kept
  32. Shot 31, 9:21 to 9:51, 1 of 1 keyframes kept
  33. Shot 32, 9:51 to 10:17, 1 of 1 keyframes kept
  34. Shot 33, 10:17 to 10:47, 1 of 1 keyframes kept
  35. Shot 34, 10:47 to 10:51, 0 of 1 keyframes kept
  36. Shot 35, 10:51 to 11:21, 0 of 1 keyframes kept
  37. Shot 36, 11:21 to 11:51, 0 of 1 keyframes kept
  38. Shot 37, 11:51 to 12:21, 0 of 1 keyframes kept
  39. Shot 38, 12:21 to 12:26, 1 of 1 keyframes kept
  40. Shot 39, 12:26 to 12:34, 1 of 1 keyframes kept
  41. Shot 40, 12:34 to 13:03, 1 of 1 keyframes kept
  42. Shot 41, 13:03 to 13:33, 0 of 1 keyframes kept
  43. Shot 42, 13:33 to 14:03, 0 of 1 keyframes kept
  44. Shot 43, 14:03 to 14:33, 0 of 1 keyframes kept
  45. Shot 44, 14:33 to 15:02, 1 of 1 keyframes kept
  46. Shot 45, 15:02 to 15:22, 1 of 1 keyframes kept
  47. Shot 46, 15:22 to 15:26, 1 of 1 keyframes kept
  48. Shot 47, 15:26 to 15:27, 1 of 1 keyframes kept

48 shot(s).

keyframes kept every frame deduplicated

What was stored

cues
193
whisperx 193
chunks
28
from 193 cues
keyframes
30
kept of 48 captured
frames with text
30
2,069 lines read
chapters
0
from the source metadata
keyframe bytes
5.4 MB
word timings on 193 cues

Provenance

Each pipeline stage, its state and the model that produced it
stage state model started took
fetch done — 2026-08-11 04:09 1m 13s
stt done — 2026-08-11 04:10 16s
chunk done — 2026-08-11 04:10 0s
text_embed done — 2026-08-11 04:10 0s
keyframe done — 2026-08-11 04:10 47s
ocr done — 2026-08-11 04:11 27s
frame_embed done — 2026-08-11 04:11 5s

Frames, and what the machine read

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    shot 0·sharpness 578.5

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    2. ARCHITECTURE1.00
    3. The OpenClaw stack and orchestration model1.00

  • 0:14 #1 done149 line(s)

    shot 1·sharpness 1514.3

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    23. WoridAl0.81
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    31. Openclaw Agent Orchestrat:0.97
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    60. Claude le walting for you0.94
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    63. File0.95
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    67. 90.79
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    75. 10.54
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    146. 00.97
    147. JEFFREY LEE-CHAN0.97
    148. 2026-03-29 17:07:460.98
    149. OpenClaw · Al Engineer Worlds Fair 20260.96

  • 0:52 #2 skipped

    shot 2·duplicate of #1

  • 0:59 #3 done111 line(s)

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    16. O Pul re0.84
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    29. +0.99
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    34. 00.63
    35. 弗0.58
    36. ( Assistant0.96
    37. Rot's iPad Pho0.85
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    51. Agent turs complene0.90
    52. File Edit View Insert Format Slide Arrange Tools Extensions Help0.99
    53. Openclaw Agent Orchestrator + General Al builder topics1.00
    54. Slideshow1.00
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    56. ↓ 0: zbot0.82
    57. Claude is walsing for you0.95
    58. Q Menus0.87
    59. +5Fit0.80
    60. Background1.00
    61. Layout1.00
    62. Theme1.00
    63. Transition1.00
    64. I1 PR.e642 open0.76
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    66. dov1774433191*0.80
    67. DMs0.93
    68. I3 28.40.00 open0.68
    69. a02: misc0.97
    70. w2: avatar0.87
    71. Iblog: main0.98
    72. feat/jleechan0.86
    73. le is waiting for0.89
    74. Activity0.92
    75. Later1.00
    76. Flles0.96
    77. G0.58
    78. 口0.57
    79. 00.81
    80. 00.54
    81. 0000.95
    82. Openclaw Agent1.00
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    85. Jeffrey Lee-Chan1.00
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    91. ..0.64
    92. https://www.linkedin.com/in/jeffrey-lee-chan/0.99
    93. Snapchat Engineering Manager, ex Google0.99
    94. 口0.67
    95. I229.8126 000n0.67
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    98. ao: antig0.97
    99. dov1776463592* ± -/gr0.72
    100. Claudle is walt0.77
    101. Enhance this slide X0.96
    102. Wi tails0.88
    103. THIS IS A DEV BUILD0.97
    104. 品0.84
    105. Click to add speaker notes1.00
    106. ②0Δ00.58
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    108. 00.94
    109. JEFFREY LEE-CHAN0.99
    110. 2026-03-29 17:08:310.98
    111. OpenClaw · Al Engineer Worlds Fair 20260.95

  • 1:05 #4 done10 line(s)

    shot 4·sharpness 2099.7

    1. docs.google.com - To exit full screen, press0.99
    2. Openclaw Agent1.00
    3. Orchestrator1.00
    4. Develop at idea velocity1.00
    5. Jeffrey Lee-Chan0.98
    6. Snapchat Engineering Manager, ex Google1.00
    7. https://www.linkedin.com/in/jeffrey-lee-chan/1.00
    8. JEFFREYLEE-CHAN1.00
    9. 2026-03-2917:08:370.98
    10. OpenClaw · Al Engineer Worlds Fair 20260.98

  • 1:32 #5 done13 line(s)

    shot 5·sharpness 2095.0

    1. HowIt Works0.94
    2. A single natural-language message in Slack triggers the full autonomous pipeline — from intent to green checks.0.99
    3. Agent1.00
    4. Describe1.00
    5. Context+0.97
    6. Cl& Review0.96
    7. Proof-First1.00
    8. Worktrees1.00
    9. Memory1.00
    10. Each stage is fully automated and evidence-backed — no manual re-entry of context, no babysitting Cl, no chasing reviewers.0.99
    11. JEFFREYLEE-CHAN1.00
    12. 2028-03-2917:09:030.99
    13. OpenClaw· Al Engineer Worlds Fair 20260.98

  • 1:43 #6 skipped

    shot 6·duplicate of #5

  • 2:01 #7 done3 line(s)

    shot 7·sharpness 485.0

    1. SECTION1.00
    2. LIVE DEMO1.00
    3. Pipeline in action — Slack intent to green checks0.99

  • 2:33 #8 done31 line(s)

    shot 8·sharpness 2119.5

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    2. Rotrs Pad Pho0.84
    3. A single natural-language message in Slack triggers the full autonomous pipeline — from intent to1.00
    4. green checks.1.00
    5. Openclaw slack coding1.00
    6. 白0.58
    7. Activity1.00
    8. # Thread =0.87
    9. Top 3 1d prioritieas mportant + urrntlyeno open Pk tled to the task lbused on ddocs.0.84
    10. and open P1 beads0.97
    11. Why top: explicitly marked as Next PRr° and High risk in roadmap: reluces core ddive0.88
    12. rev-10c4 - unify streaming/non-streaming LLM path0.96
    13. 14 nim0.71
    14. PR status: no open PR cume0.99
    15. Evidence bead rev-ba P1, pent " ses load balancer IP..fa with X-Forwarded-For + ProxyyFix0.79
    16. revwg2r - agent selection ircsit breaker Infinite lop prevention)0.85
    17. Durity impacting isse (global bucket / DoS rik va LB IP handing)g0.89
    18. rate limiter IP spofing vulnerablity0.90
    19. ently for this bead ID.1.00
    20. ontly fo this bead ID.0.84
    21. my safety issue: prevents repeated same-agent loop failures.0.96
    22. pnd + bead rev-lac4 (P1. oponl.0.80
    23. •PR status: no opem PR cumently for this bead ID.0.93
    24. If you want, mext I can hand these 3 to AO as separate tracks (sorlaorchitect ) and post back0.95
    25. appear.0.99
    26. @openciaw make agento0.85
    27. 0:42/4:011.00
    28. a @0.67
    29. JEFFREYLEE-CHAN1.00
    30. 2026-03-2917:11:000.98
    31. OpenClaw · Al Engineer Worlds Fair 20260.96

  • 2:44 #9 skipped

    shot 9·duplicate of #8

  • 3:13 #10 done10 line(s)

    shot 10·sharpness 2206.4

    1. docs.google.com - To exit full screen, press0.99
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    8. JEFFREYLEE-CHAN1.00
    9. 2026-03-2917:11:401.00
    10. OpenClaw· Al Engineer Worlds Fair 20260.98

  • 3:14 #11 skipped

    shot 11·duplicate of #10

  • 3:35 #12 done46 line(s)

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    24. Access to central data sources and1.00
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    45. 2026-03-29 17:12:020.98
    46. OpenClaw · Al Engineer Worlds Fair 20260.96

  • 3:55 #13 skipped

    shot 13·duplicate of #12

  • 4:06 #14 done3 line(s)

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  • 4:25 #15 done21 line(s)

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    15. 1. Managed agents (agents managed by above aka1.00
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    20. 2026-03-29 17:15:470.99
    21. OpenClaw · Al Engineer Worlds Fair 20260.97

  • 4:58 #16 done42 line(s)

    shot 16·sharpness 3852.4

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    3. THE EVOLUTION OF AI IN CODING: FROM TOOLS TO SELF-EVOLUTION0.99
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    9. & AUTONOMY0.99
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    20. MAX AUTONOMY0.97
    21. Auto complete - copilot in IDE0.98
    22. Coding parallel - usually0.97
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    27. Cursor - code assist in IDE0.96
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    29. big multiplier1.00
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    34. have them run0.99
    35. for 3 hr+ of0.99
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    39. JEFFREYLEE-CHAN1.00
    40. INFOGRAPHIC DESIGN1.00
    41. 2026-03-2917:16:201.00
    42. OpenClaw · Al Engineer Worlds Fair 20260.96

  • 5:07 #17 skipped

    shot 17·duplicate of #15

  • 5:46 #18 done20 line(s)

    shot 18·sharpness 2295.3

    1. Agent stack1.00
    2. Jeff stack / open source0.97
    3. OpenClaw1.00
    4. 1. Openclaw0.99
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    7. + Orchestrator0.99
    8. a. CMUX terminals OR1.00
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    11. 3. Agent Orchestrator workers (claude code, codex,1.00
    12. cursor cli)1.00
    13. Agents1.00
    14. Claude code / codex / etc0.94
    15. 1. Managed agents (agents managed by above aka0.99
    16. claude teams feature)0.98
    17. 2. Subagents0.97
    18. JEFFREY LEE-CHAN0.98
    19. 2026-03-2917:17:081.00
    20. OpenClaw · Al Engineer Worlds Fair 20260.97

  • 6:12 #19 done3 line(s)

    shot 19·sharpness 769.6

    1. SECTION1.00
    2. PRACTICAL OUTCOMES0.99
    3. WorldAI RPG and Consensus ML — production lessons0.99

  • 6:24 #20 done133 line(s)

    shot 20·sharpness 1873.4

    1. View1.00
    2. History1.00
    3. Profiles0.98
    4. Tab1.00
    5. Window1.00
    6. Help1.00
    7. #0.63
    8. ⑥0.53
    9. Sun Mar 29 5:28 PM0.99
    10. à0.70
    11. E0.85
    12. D.0.74
    13. D0.69
    14. D0.62
    15. teatpka0.62
    16. Safeco0.98
    17. WorldAl0.93
    18. WorldAl0.80
    19. O Pul re0.86
    20. Bulding0.94
    21. C fixdmvat:0.65
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Transcript

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  1. 0:01 workshop setup.
  2. 0:02 So there are some people who have never installed OpenClaw, and I want to get them set up.
  3. 0:09 And then the other people want to try an experimental thing, which I haven't even fully gotten working.
  4. 0:15 But I think for more advanced people, that'll be cool to get a sort of staging environment and run to OpenClaw.
  5. 0:21 So I think if I'm not too busy helping new people set up, then I'll try to help people finish debugging the last part.
  6. 0:29 Or maybe someone else will get it.
  7. 0:32 And I think 10 minutes Q&A, 10 minutes some more advanced topics, and then just more Q&A.
  8. 0:39 And probably after every five minutes or so, we can do a few minutes of discussion.
  9. 0:44 So I'll just set some timers to make sure I don't go off track.
  10. 0:49 All right, let me start.
  11. 1:02 Can everyone see this presentation?
  12. 1:07 Yes.
  13. 1:08 All right, cool.
  14. 1:09 Yep.
  15. 1:11 So this kind of describes my setup.
  16. 1:16 I'll just keep it really high level for this part, where when everything works, maybe like 70% of the time, you describe your task.
  17. 1:25 And then what's nice is OpenClaw will have context and memory about what you're talking about.
  18. 1:31 So for example, let's say I'm like, all right, fix this thing.
  19. 1:35 It's a very brief Slack message, but OpenClaw can remember what I've asked it to do before.
  20. 1:41 So for example, I'm working on this thing I'm calling a skeptic agent, and it's a custom code review thing.
  21. 1:47 But if I'm like, all right, fix the skeptic agent or whatever, it kind of knows what that is, which is nice.
  22. 1:52 You don't have to re-explain a lot.
  23. 1:55 I use multiple agents with work trees.
  24. 1:57 That's very key for parallelization.
  25. 2:06 integration.
  26. 2:07 But you can kind of see, you can talk to it and be pretty brief and then, you know, usually get reasonable outcomes, but sometimes you'll have to debug it.
  27. 2:16 So then it's like, all right, there's some timeout thing.
  28. 2:19 I'm like, give it a longer timeout, right?
  29. 2:24 And then I asked it here, like, you know, what are the priorities and what we're working on?
  30. 2:28 And I'm reading it here.
  31. 2:31 And then I might have just said, like,
  32. 2:35 I just make code for it.
  33. 2:38 Another interesting thing about this is you can see from the types of responses I give, they're not that special as in I actually think an agent could replace me.
  34. 2:51 That's what I'm working on right now to get things even more autonomous.
  35. 2:57 You'll see this with LLMs, you're working with them and they'll be like, hey, I've got this thing ready and I'm like, okay, we'll run the test.
  36. 3:06 all right so i'll show the next slide now oops okay we'll go into some concepts right now like what is open claw so i think what's cool about open claw is it's not just about a particular repo or the code but more of the concept so you know i've got this cool super diagram but
  37. 3:33 First concept is frictionless communication.
  38. 3:36 I know we have other things like cloud co-work or whatever, but I think they still have a similar concept where it's like, can you easily talk to your AI versus you've got a remote desktop into your computer or you have to go sit down.
  39. 3:51 That enables a certain really high level of velocity.
  40. 3:56 Then I think the central axis is very important.
  41. 4:00 You know, there's a spectrum.
  42. 4:02 Like, I kind of go like a little more cowboy and I give it action.
  43. 4:12 OpenClaw has these agent orchestrator managers that manage your workers for you.
  44. 4:17 Or sometimes when I want more personal control, I use CMUX terminals.
  45. 4:21 So CMUX is like a terminal program, but it's pretty good for parallelization and AI development.
  46. 4:27 Then I used the open source framework that I forked, agent orchestrator to do the workers.
  47. 4:33 And then once it gets to here, this part is not really controlled by me as much anymore.
  48. 4:38 So I'm calling them managed agents.
  49. 4:41 But basically, you have a worker that runs Cloud Code.
  50. 4:45 And Cloud Code itself can run agents.

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