Dense Slides: Architecting and Testing Controllable Agents: Lance Martin

Source Video

Architecting and Testing Controllable Agents: Lance Martin

Method

This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.

Cropped Visible Slides

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Small diagram labels and code-like text are better handled by OCR than direct transcription.

Slide text:

Agents typically use tool (function) calling to execute steps

AIE

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https:1/llianweng.qilhub.iq/cosis/2023-06-23-aqent

88 Microsoft smol?

Recreated text/layout view: open HTML recreation
AI slide classifier: title_card confidence 0.96
Text source: agent_vision.

Slide text:

Architecting + testing reliable agents

Lance Martin

Software Engineer, LangChain

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.97
Text source: none.
OCR decision: ready — Dense code screenshot with small text; OCR will outperform manual reading.
Slide text: not surfaced (illegible by AI classifier).

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Dense chart labels and small comparison text; OCR is the cheaper pass.

Slide text:

Retrieval is not guaranteed, reasoning harder than retrieval

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I tf tts.r (t=tm (ttt) 0004 24100 C Llt C 7:400 ta 11000

hltps://voutubeUlmyYQGhzs

hltos://blog. langchain.dey/multi-needle-in-a:havstack

aws

Classification audit: raw/sources/slide-ai-classification/dense/ib-wTAvCZqg/audit.json