---
title: "Dense Slides: Katelyn Lesse – Evolving Claude APIs for Agents, Anthropic"
category: "slides"
video_id: "aqW68Is_Kj4"
sourceLabels: ["Captured video frames", "Local OpenCV slide-region detection"]
---

# Dense Slides: Katelyn Lesse – Evolving Claude APIs for Agents, Anthropic

## Source Video
[Katelyn Lesse – Evolving Claude APIs for Agents, Anthropic](https://www.youtube.com/watch?v=aqW68Is_Kj4)

## 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
![[assets/dense-slides/aqW68Is_Kj4/slide-001.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/aqW68Is_Kj4/slide-001.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: agent_vision.

Slide text:

> How the Claude Developer Platform maximizes intelligence
> Harness Claude's capabilities
> Manage Claude's context
> Give Claude a computer & let it cook

![[assets/dense-slides/aqW68Is_Kj4/slide-002.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/aqW68Is_Kj4/slide-002.html)
- AI slide classifier: `content_slide` confidence `0.96`
- Text source: advanced OCR `rapidocr-live/bright-screen/contrast`.
- OCR decision: ready — Contains a code screenshot with small text; OCR should handle it better than direct transcription.

Slide text:

> response model=°claude-sonnet-4-5-292S8929 ltent.tessoges.
> Thinking Extended max tokens= thtnktng=f:.suoyo)"lobpnq. enabled":True,
> messagcsa
> Content": *Help re debug why this systen fails under load" User
> ANTHROPIC
> AIE / LEAD EVOLVING CLAUDE APISFOR AGENTS
> Google DeepMind PRESENTEDBY KATELYN LESSE/ Engineering Leader ANTHROPIC

![[assets/dense-slides/aqW68Is_Kj4/slide-003.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/aqW68Is_Kj4/slide-003.html)
- AI slide classifier: `content_slide` confidence `0.95`
- Text source: advanced OCR `rapidocr-live/bright-screen/contrast`.
- OCR decision: ready — Dense multi-column diagram text is better suited to OCR than manual transcription.

Slide text:

> Context engineering for agents
> Possible context to give model Contextwindow
> Doc Doo System prompt
> Tool Tool Memory file Tool Too! Memory file Doc Doc2 messoge Assistant
> instructions Comprehensive Tool1 Tool2 Toolcall
> Domain knowledge Usermessoge
> Memory file Doc Metsoge histon
> Tool
> Messoge history
> Toolresult
> ANTHROP\C
> AIE/ LEAD Brian Fioca OpenAl Samir Mody NLW Superintelligent Stanford YegorDenisov-Blanch University DX Justin Reock I:: T Arman
> Google DeepMind PRESENTEDBY stigg Weights & Biases byCoreWeave SENTRY Daytona ^arize Xgoose

![[assets/dense-slides/aqW68Is_Kj4/slide-004.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/aqW68Is_Kj4/slide-004.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`.
- OCR decision: ready — Contains a code screenshot with small text; OCR should extract it more reliably than manual reading.

Slide text:

> MCP response clentit:arltr:.rn0 node1- ttaude sonne1 4-5 2025e929 0 ncp servers=! max tokens? (ur: +pcD/github-server. (ur! a ocp//sentry scrver. 0 numo 'sentry) name o 'glthub+
> messages=[0 (oyids 4subien @ 6snt) foidhp s1ul oip Am. 6 du3juo2. role o user'0
> ANTHROPIC
> AIE/LEAD eligent Stanford Yegor Denisov-Blanch University DX Justin Reock Tenex Arman Hezarkhani Lei Zhang Bloomberg Gene Kim REYOLUTIC
> Google DeepMind Presented eY ne04j autho Workos *sourcegraph stigg::: Weights & Biases by CoreWeiv

![[assets/dense-slides/aqW68Is_Kj4/slide-005.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/aqW68Is_Kj4/slide-005.html)
- AI slide classifier: `content_slide` confidence `0.97`
- Text source: advanced OCR `rapidocr-live/full`.
- OCR decision: ready — Contains a code screenshot with small text; OCR is appropriate.

Slide text:

> Memory response =client.messages.create( max_tokens=4e96, messages=[{ model="claude-sonnet-4-5-20250929"
> prefers circuit breaker pattern logic Ln Paymentcltent.java SAARS "Paymentservtce uses 3os tus
> ANTHROP\C
> AlEngineer Engineering the future of Al


Classification audit: `raw/sources/slide-ai-classification/dense/aqW68Is_Kj4/audit.json`