Category
Slides
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Dense Slide Library
Dense Slide Library This indexes slide only cropped decks produced from captured video frames. Use these when the wiki needs actual visible slide images rather than speaker shots, title cards, or demo/browser frames. Cov
Dense Slides: 120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
Dense Slides 120k players in a week Lessons from the first viral CLIP app Joseph Nelson Source Video 120k players in a week Lessons from the first viral CLIP app Joseph Nelson https //www.youtube.com/watch?v=OimPoLxioYg
Dense Slides: 2026: The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding
Dense Slides 2026 The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding Source Video 2026 The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding https //www.youtube.com/watch?v=7Dtu2bilcFs Me
Dense Slides: [Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han
Dense Slides Full Workshop Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han Source Video Full Workshop Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han https //
Dense Slides: Agents for Everything Else — swyx
Dense Slides Agents for Everything Else — swyx Source Video Agents for Everything Else — swyx https //www.youtube.com/watch?v=zepu8Kk6FBQ Method This deck is slide only. The existing captured video frame set supplies can
Dense Slides: Agents need more than a chat - Jacob Lauritzen, CTO Legora
Dense Slides Agents need more than a chat Jacob Lauritzen, CTO Legora Source Video Agents need more than a chat Jacob Lauritzen, CTO Legora https //www.youtube.com/watch?v=XNtkiQJ49Ps Method This deck is slide only. The
Dense Slides: AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft
Dense Slides AI Red Teaming Agent Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft Source Video AI Red Teaming Agent Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft https //www.youtube.co
Dense Slides: Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo
Dense Slides Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo Source Video Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo https //www.youtube.com/watch?v=dvft0Gp9sEE Method This deck is slide
Dense Slides: Architecting and Testing Controllable Agents: Lance Martin
Dense Slides Architecting and Testing Controllable Agents Lance Martin Source Video Architecting and Testing Controllable Agents Lance Martin https //www.youtube.com/watch?v=ib wTAvCZqg Method This deck is slide only. Th
Dense Slides: Arrakis: How To Build An AI Sandbox From Scratch - Abhishek Bhardwaj, OpenAI
Dense Slides Arrakis How To Build An AI Sandbox From Scratch Abhishek Bhardwaj, OpenAI Source Video Arrakis How To Build An AI Sandbox From Scratch Abhishek Bhardwaj, OpenAI https //www.youtube.com/watch?v=wsFd22SL1s8 Me
Dense Slides: Automating Large Scale Refactors with Parallel Agents - Robert Brennan, OpenHands
Dense Slides Automating Large Scale Refactors with Parallel Agents Robert Brennan, OpenHands Source Video Automating Large Scale Refactors with Parallel Agents Robert Brennan, OpenHands https //www.youtube.com/watch?v=rc
Dense Slides: Build & deploy AI-powered apps — Paige Bailey, Google DeepMind
Dense Slides Build & deploy AI powered apps — Paige Bailey, Google DeepMind Source Video Build & deploy AI powered apps — Paige Bailey, Google DeepMind https //www.youtube.com/watch?v=G bHFmEAarM Method This deck is slid
Dense Slides: Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali, Arize
Dense Slides Build a Prompt Learning Loop SallyAnn DeLucia & Fuad Ali, Arize Source Video Build a Prompt Learning Loop SallyAnn DeLucia & Fuad Ali, Arize https //www.youtube.com/watch?v=SbcQYbrvAfI Method This deck is sl
Dense Slides: Building a Smarter AI Agent with Neural RAG - Will Bryk, Exa.ai
Dense Slides Building a Smarter AI Agent with Neural RAG Will Bryk, Exa.ai Source Video Building a Smarter AI Agent with Neural RAG Will Bryk, Exa.ai https //www.youtube.com/watch?v=xnXqpUW Kp8 Method This deck is slide
Dense Slides: Building Agents at Cloud Scale — Antje Barth, AWS
Dense Slides Building Agents at Cloud Scale — Antje Barth, AWS Source Video Building Agents at Cloud Scale — Antje Barth, AWS https //www.youtube.com/watch?v=WJjInLeaJjo Method This deck is slide only. The existing captu
Dense Slides: Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop)
Dense Slides Building Agents with Amazon Nova Act and MCP Du'An Lightfoot, Amazon Full Workshop Source Video Building Agents with Amazon Nova Act and MCP Du'An Lightfoot, Amazon Full Workshop https //www.youtube.com/watc
Dense Slides: Building AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndex
Dense Slides Building AI Agents that actually automate Knowledge Work Jerry Liu, LlamaIndex Source Video Building AI Agents that actually automate Knowledge Work Jerry Liu, LlamaIndex https //www.youtube.com/watch?v=jVGC
Dense Slides: Building an Agentic Platform — Ben Kus, CTO Box
Dense Slides Building an Agentic Platform — Ben Kus, CTO Box Source Video Building an Agentic Platform — Ben Kus, CTO Box https //www.youtube.com/watch?v=12v5S1n1eOY Method This deck is slide only. The existing captured
Dense Slides: Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind
Dense Slides Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind Source Video Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind https //www.youtube.com/watch?
Dense Slides: Building Cursor Composer – Lee Robinson, Cursor
Dense Slides Building Cursor Composer – Lee Robinson, Cursor Source Video Building Cursor Composer – Lee Robinson, Cursor https //www.youtube.com/watch?v=fL1iJHtl51Q Method This deck is slide only. The existing captured
Dense Slides: Building Intelligent Research Agents with Manus - Ivan Leo, Manus AI (now Meta Superintelligence)
Dense Slides Building Intelligent Research Agents with Manus Ivan Leo, Manus AI now Meta Superintelligence Source Video Building Intelligent Research Agents with Manus Ivan Leo, Manus AI now Meta Superintelligence https
Dense Slides: Building voice agents with OpenAI — Dominik Kundel, OpenAI
Dense Slides Building voice agents with OpenAI — Dominik Kundel, OpenAI Source Video Building voice agents with OpenAI — Dominik Kundel, OpenAI https //www.youtube.com/watch?v=iXhba366fQc Method This deck is slide only.
Dense Slides: Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar
Dense Slides Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar Source Video Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar https //www.youtube.com/watch?v=NuePCNMpWGc Method This
Dense Slides: Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic
Dense Slides Claude Agent SDK Full Workshop — Thariq Shihipar, Anthropic Source Video Claude Agent SDK Full Workshop — Thariq Shihipar, Anthropic https //www.youtube.com/watch?v=TqC1qOfiVcQ Method This deck is slide only
Dense Slides: Cognitive Shield Real Time Real Smart - Rachna Srivastava
Dense Slides Cognitive Shield Real Time Real Smart Rachna Srivastava Source Video Cognitive Shield Real Time Real Smart Rachna Srivastava https //www.youtube.com/watch?v=5 QWh4LGoxg Method This deck is slide only. The ex
Dense Slides: Cohere for VPs of AI: Vivek Muppalla
Dense Slides Cohere for VPs of AI Vivek Muppalla Source Video Cohere for VPs of AI Vivek Muppalla https //www.youtube.com/watch?v=u3NofYYstaY Method This deck is slide only. The existing captured video frame set supplies
Dense Slides: Connecting the Dots with Context Graphs — Stephen Chin, Neo4j
Dense Slides Connecting the Dots with Context Graphs — Stephen Chin, Neo4j Source Video Connecting the Dots with Context Graphs — Stephen Chin, Neo4j https //www.youtube.com/watch?v=eW vxrjvERk Method This deck is slide
Dense Slides: Context Is the New Code — Patrick Debois, Tessl
Dense Slides Context Is the New Code — Patrick Debois, Tessl Source Video Context Is the New Code — Patrick Debois, Tessl https //www.youtube.com/watch?v=bSG9wUYaHWU Method This deck is slide only. The existing captured
Dense Slides: Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs
Dense Slides Deterministic Infra for Non Deterministic AI Agents Nishant Gupta, Meta Superintelligence Labs Source Video Deterministic Infra for Non Deterministic AI Agents Nishant Gupta, Meta Superintelligence Labs http
Dense Slides: DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners
Dense Slides DSPy The End of Prompt Engineering Kevin Madura, AlixPartners Source Video DSPy The End of Prompt Engineering Kevin Madura, AlixPartners https //www.youtube.com/watch?v= cKUW6n8hBU Method This deck is slide
Dense Slides: Evals 101 — Doug Guthrie, Braintrust
Dense Slides Evals 101 — Doug Guthrie, Braintrust Source Video Evals 101 — Doug Guthrie, Braintrust https //www.youtube.com/watch?v=bk0TmxoZlUY Method This deck is slide only. The existing captured video frame set suppli
Dense Slides: From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents — Cormac Brick, Google
Dense Slides From 46% to 90% Fine Tuning Tiny LLMs for On Device Agents — Cormac Brick, Google Source Video From 46% to 90% Fine Tuning Tiny LLMs for On Device Agents — Cormac Brick, Google https //www.youtube.com/watch?
Dense Slides: From Mixture of Experts to Mixture of Agents with Super Fast Inference - Daniel Kim & Daria Soboleva
Dense Slides From Mixture of Experts to Mixture of Agents with Super Fast Inference Daniel Kim & Daria Soboleva Source Video From Mixture of Experts to Mixture of Agents with Super Fast Inference Daniel Kim & Daria Sobol
Dense Slides: From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
Dense Slides From Text to Vision to Voice Exploring Multimodality with Open AI Romain Huet Source Video From Text to Vision to Voice Exploring Multimodality with Open AI Romain Huet https //www.youtube.com/watch?v=yJHw33
Dense Slides: From Transcription to Live Music: Gemini's Audio Stack — Thor Schaeff, Google DeepMind
Dense Slides From Transcription to Live Music Gemini's Audio Stack — Thor Schaeff, Google DeepMind Source Video From Transcription to Live Music Gemini's Audio Stack — Thor Schaeff, Google DeepMind https //www.youtube.co
Dense Slides: Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter
Dense Slides Fun stories from building OpenRouter and where all this is going Alex Atallah, OpenRouter Source Video Fun stories from building OpenRouter and where all this is going Alex Atallah, OpenRouter https //www.yo
Dense Slides: GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
Dense Slides GraphRAG The Marriage of Knowledge Graphs and RAG Emil Eifrem Source Video GraphRAG The Marriage of Knowledge Graphs and RAG Emil Eifrem https //www.youtube.com/watch?v=knDDGYHnnSI Method This deck is slide
Dense Slides: Harnesses in AI: A Deep Dive — Tejas Kumar, IBM
Dense Slides Harnesses in AI A Deep Dive — Tejas Kumar, IBM Source Video Harnesses in AI A Deep Dive — Tejas Kumar, IBM https //www.youtube.com/watch?v=C GG5g38vLU Method This deck is slide only. The existing captured vi
Dense Slides: How fast are LLM inference engines anyway? — Charles Frye, Modal
Dense Slides How fast are LLM inference engines anyway? — Charles Frye, Modal Source Video How fast are LLM inference engines anyway? — Charles Frye, Modal https //www.youtube.com/watch?v=DeFF3J8T5Pk Method This deck is
Dense Slides: How LLMs work for Web Devs: GPT in 600 lines of Vanilla JS - Ishan Anand
Dense Slides How LLMs work for Web Devs GPT in 600 lines of Vanilla JS Ishan Anand Source Video How LLMs work for Web Devs GPT in 600 lines of Vanilla JS Ishan Anand https //www.youtube.com/watch?v=ZuiJjkbX0Og Method Thi
Dense Slides: How to Build Planning Agents without losing control - Yogendra Miraje, Factset
Dense Slides How to Build Planning Agents without losing control Yogendra Miraje, Factset Source Video How to Build Planning Agents without losing control Yogendra Miraje, Factset https //www.youtube.com/watch?v=sl3icG I
Dense Slides: How to build world-class AI products — Sarah Sachs (AI lead @ Notion) & Carlos Esteban (Braintrust)
Dense Slides How to build world class AI products — Sarah Sachs AI lead @ Notion & Carlos Esteban Braintrust Source Video How to build world class AI products — Sarah Sachs AI lead @ Notion & Carlos Esteban Braintrust ht
Dense Slides: How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)
Dense Slides How to look at your data — Jeff Huber Chroma + Jason Liu 567 Source Video How to look at your data — Jeff Huber Chroma + Jason Liu 567 https //www.youtube.com/watch?v=jryZvCuA0Uc Method This deck is slide on
Dense Slides: How Windsurf writes 90% of your code with an Agentic IDE - Kevin Hou, Windsurf
Dense Slides How Windsurf writes 90% of your code with an Agentic IDE Kevin Hou, Windsurf Source Video How Windsurf writes 90% of your code with an Agentic IDE Kevin Hou, Windsurf https //www.youtube.com/watch?v=bVNNvWq6
Dense Slides: Jack Morris: Stuffing Context is not Memory, Updating Weights is
Dense Slides Jack Morris Stuffing Context is not Memory, Updating Weights is Source Video Jack Morris Stuffing Context is not Memory, Updating Weights is https //www.youtube.com/watch?v=Jty4s9 Jb78 Method This deck is sl
Dense Slides: Katelyn Lesse – Evolving Claude APIs for Agents, Anthropic
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.
Dense Slides: Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)
Dense Slides Leadership in AI Assisted Engineering – Justin Reock, DX acq. Atlassian Source Video Leadership in AI Assisted Engineering – Justin Reock, DX acq. Atlassian https //www.youtube.com/watch?v=PmZDupFP3UM Method
Dense Slides: Letting AI Interface with your App with MCP — Kent C Dodds
Dense Slides Letting AI Interface with your App with MCP — Kent C Dodds Source Video Letting AI Interface with your App with MCP — Kent C Dodds https //www.youtube.com/watch?v=EyZiAp0pelw Method This deck is slide only.
Dense Slides: LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize
Dense Slides LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize Source Video LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize https //www.youtube.com/watch?v=JsCCrBF7F1g Meth
Dense Slides: Making Codebases Agent Ready – Eno Reyes, Factory AI
Dense Slides Making Codebases Agent Ready – Eno Reyes, Factory AI Source Video Making Codebases Agent Ready – Eno Reyes, Factory AI https //www.youtube.com/watch?v=ShuJ CN6zr4 Method This deck is slide only. The existing
Dense Slides: MCP is all you need — Samuel Colvin, Pydantic
Dense Slides MCP is all you need — Samuel Colvin, Pydantic Source Video MCP is all you need — Samuel Colvin, Pydantic https //www.youtube.com/watch?v=bmWZk9vTze0 Method This deck is slide only. The existing captured vide
Dense Slides: MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps
Dense Slides MCP UI Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps Source Video MCP UI Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps https //www.youtube.com/watch?v=o zkvb0iFDQ Method This
Dense Slides: Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked
Dense Slides Mergeable by default Building the context engine to save time and tokens — Peter Werry, Unblocked Source Video Mergeable by default Building the context engine to save time and tokens — Peter Werry, Unblocke
Dense Slides: Minimax M2: Building the #1 Open Model – Olive Song, MiniMax
Dense Slides Minimax M2 Building the 1 Open Model – Olive Song, MiniMax Source Video Minimax M2 Building the 1 Open Model – Olive Song, MiniMax https //www.youtube.com/watch?v=lY1iFbDPRlw Method This deck is slide only.
Dense Slides: New York Times' Connections: A Case Study on NLP in Word Games — Shafik Quoraishee, NYT Games
Dense Slides New York Times' Connections A Case Study on NLP in Word Games — Shafik Quoraishee, NYT Games Source Video New York Times' Connections A Case Study on NLP in Word Games — Shafik Quoraishee, NYT Games https //
Dense Slides: No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer
Dense Slides No Vibes Allowed Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer Source Video No Vibes Allowed Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer https //www.youtube.com/
Dense Slides: OpenAI + @Temporalio : Building Durable, Production Ready Agents - Cornelia Davis, Temporal
Dense Slides OpenAI + @Temporalio Building Durable, Production Ready Agents Cornelia Davis, Temporal Source Video OpenAI + @Temporalio Building Durable, Production Ready Agents Cornelia Davis, Temporal https //www.youtub
Dense Slides: Optimizing inference for voice models in production - Philip Kiely, Baseten
Dense Slides Optimizing inference for voice models in production Philip Kiely, Baseten Source Video Optimizing inference for voice models in production Philip Kiely, Baseten https //www.youtube.com/watch?v=gmTHs5T YAE Me
Dense Slides: RAG Evaluation Is Broken! Here's Why (And How to Fix It) - Yuval Belfer and Niv Granot
Dense Slides RAG Evaluation Is Broken! Here's Why And How to Fix It Yuval Belfer and Niv Granot Source Video RAG Evaluation Is Broken! Here's Why And How to Fix It Yuval Belfer and Niv Granot https //www.youtube.com/watc
Dense Slides: Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison
Dense Slides Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison Source Video Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison ht
Dense Slides: Real-time Experiments with an AI Co-Scientist - Stefania Druga, fmr. Google Deepmind
Dense Slides Real time Experiments with an AI Co Scientist Stefania Druga, fmr. Google Deepmind Source Video Real time Experiments with an AI Co Scientist Stefania Druga, fmr. Google Deepmind https //www.youtube.com/watc
Dense Slides: Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley
Dense Slides Reinforcement Learning for Agents Will Brown, ML Researcher at Morgan Stanley Source Video Reinforcement Learning for Agents Will Brown, ML Researcher at Morgan Stanley https //www.youtube.com/watch?v=JIsgyk
Dense Slides: Run Frontier AI at Home — Alex Cheema, EXO Labs
Dense Slides Run Frontier AI at Home — Alex Cheema, EXO Labs Source Video Run Frontier AI at Home — Alex Cheema, EXO Labs https //www.youtube.com/watch?v=ESbWpPT 9 o Method This deck is slide only. The existing captured
Dense Slides: Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner
Dense Slides Running AI Application in Minutes w/ AI Templates Gabriela de Queiroz, Pamela Fox, Harald Kirschner Source Video Running AI Application in Minutes w/ AI Templates Gabriela de Queiroz, Pamela Fox, Harald Kirs
Dense Slides: Self-Training Agents: Hermes Agent, HF Traces, Skills, MCP & Finetuning — Merve Noyan, Hugging Face
Dense Slides Self Training Agents Hermes Agent, HF Traces, Skills, MCP & Finetuning — Merve Noyan, Hugging Face Source Video Self Training Agents Hermes Agent, HF Traces, Skills, MCP & Finetuning — Merve Noyan, Hugging F
Dense Slides: Ship Agents that Ship: A Hands-On Workshop - Kyle Penfound, Jeremy Adams, Dagger
Dense Slides Ship Agents that Ship A Hands On Workshop Kyle Penfound, Jeremy Adams, Dagger Source Video Ship Agents that Ship A Hands On Workshop Kyle Penfound, Jeremy Adams, Dagger https //www.youtube.com/watch?v=Fzb1a2
Dense Slides: Ship it! Building Production Ready Agents — Mike Chambers, AWS
Dense Slides Ship it! Building Production Ready Agents — Mike Chambers, AWS Source Video Ship it! Building Production Ready Agents — Mike Chambers, AWS https //www.youtube.com/watch?v=HT4l0DeP69I Method This deck is slid
Dense Slides: Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize
Dense Slides Ship Real Agents Hands On Evals for Agentic Applications — Laurie Voss, Arize Source Video Ship Real Agents Hands On Evals for Agentic Applications — Laurie Voss, Arize https //www.youtube.com/watch?v=Xfl505
Dense Slides: Stop babysitting your agents... — Brandon Waselnuk, Unblocked
Dense Slides Stop babysitting your agents... — Brandon Waselnuk, Unblocked Source Video Stop babysitting your agents... — Brandon Waselnuk, Unblocked https //www.youtube.com/watch?v=BiG2ssibKGc Method This deck is slide
Dense Slides: Stop Using RAG as Memory — Daniel Chalef, Zep
Dense Slides Stop Using RAG as Memory — Daniel Chalef, Zep Source Video Stop Using RAG as Memory — Daniel Chalef, Zep https //www.youtube.com/watch?v=T5IMo5ntyhA Method This deck is slide only. The existing captured vide
Dense Slides: Structuring a modern AI team — Denys Linkov, Wisedocs
Dense Slides Structuring a modern AI team — Denys Linkov, Wisedocs Source Video Structuring a modern AI team — Denys Linkov, Wisedocs https //www.youtube.com/watch?v=SbUxRluVRwk Method This deck is slide only. The existi
Dense Slides: Teaching Gemini to Speak YouTube: Adapting LLMs for Video Recommendations to 2B+DAU - Devansh Tandon
Dense Slides Teaching Gemini to Speak YouTube Adapting LLMs for Video Recommendations to 2B+DAU Devansh Tandon Source Video Teaching Gemini to Speak YouTube Adapting LLMs for Video Recommendations to 2B+DAU Devansh Tando
Dense Slides: The 1,000x AI Engineer: Swyx
Dense Slides The 1,000x AI Engineer Swyx Source Video The 1,000x AI Engineer Swyx https //www.youtube.com/watch?v=qaJXBMwUkoE Method This deck is slide only. The existing captured video frame set supplies candidate frame
Dense Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify
Dense Slides The 2025 AI Engineering Report — Barr Yaron, Amplify Source Video The 2025 AI Engineering Report — Barr Yaron, Amplify https //www.youtube.com/watch?v=mQ7 Zje7WKE Method This deck is slide only. The existing
Dense Slides: The Bitter Layout or: How I Learned to Love the Model Picker — Maximillian Piras, Yutori
Dense Slides The Bitter Layout or How I Learned to Love the Model Picker — Maximillian Piras, Yutori Source Video The Bitter Layout or How I Learned to Love the Model Picker — Maximillian Piras, Yutori https //www.youtub
Dense Slides: The era of unbounded products: Designing for Multimodal IO: Ben Hylak
Dense Slides The era of unbounded products Designing for Multimodal IO Ben Hylak Source Video The era of unbounded products Designing for Multimodal IO Ben Hylak https //www.youtube.com/watch?v=5nOLb27hQ5w Method This de
Dense Slides: The rise of the agentic economy on the shoulders of MCP — Jan Curn, Apify
Dense Slides The rise of the agentic economy on the shoulders of MCP — Jan Curn, Apify Source Video The rise of the agentic economy on the shoulders of MCP — Jan Curn, Apify https //www.youtube.com/watch?v=blW lSd5CYQ Me
Dense Slides: The State of MCP observability: Observable.tools — Alex Volkov and Benjamin Eckel, W&B and Dylibso
Dense Slides The State of MCP observability Observable.tools — Alex Volkov and Benjamin Eckel, W&B and Dylibso Source Video The State of MCP observability Observable.tools — Alex Volkov and Benjamin Eckel, W&B and Dylibs
Dense Slides: The Web Browser Is All You Need - Paul Klein IV, Browserbase
Dense Slides The Web Browser Is All You Need Paul Klein IV, Browserbase Source Video The Web Browser Is All You Need Paul Klein IV, Browserbase https //www.youtube.com/watch?v=YRGjll7uu5w Method This deck is slide only.
Dense Slides: Training Agentic Reasoners — Will Brown, Prime Intellect
Dense Slides Training Agentic Reasoners — Will Brown, Prime Intellect Source Video Training Agentic Reasoners — Will Brown, Prime Intellect https //www.youtube.com/watch?v=PbHm2qKnu10 Method This deck is slide only. The
Dense Slides: Trends Across the AI Frontier — George Cameron, ArtificialAnalysis.ai
Dense Slides Trends Across the AI Frontier — George Cameron, ArtificialAnalysis.ai Source Video Trends Across the AI Frontier — George Cameron, ArtificialAnalysis.ai https //www.youtube.com/watch?v=sRpqPgKeXNk Method Thi
Dense Slides: Trust, but Verify: Shreya Rajpal
Dense Slides Trust, but Verify Shreya Rajpal Source Video Trust, but Verify Shreya Rajpal https //www.youtube.com/watch?v=9 vGxMoUM9Y Method This deck is slide only. The existing captured video frame set supplies candida
Dense Slides: Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI
Dense Slides Turn 10,994 Notes Into Memory Paul Iusztin, Decoding AI & Louis François Bouchard, Towards AI Source Video Turn 10,994 Notes Into Memory Paul Iusztin, Decoding AI & Louis François Bouchard, Towards AI https
Dense Slides: Voice AI: when is the \"Her\" moment? — Neil Zeghidour, CEO, Gradium AI
Dense Slides Voice AI when is the "Her" moment? — Neil Zeghidour, CEO, Gradium AI Source Video Voice AI when is the "Her" moment? — Neil Zeghidour, CEO, Gradium AI https //www.youtube.com/watch?v=P RI1kCkRbo Method This
Dense Slides: WF2026: Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recursive
Dense Slides WF2026 Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recursive Source Video WF2026 Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recurs
Dense Slides: WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF
Dense Slides WF2026 Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai GLM , MiniMax, HF Source Video WF2026 Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai GLM , MiniMax, HF https //
Dense Slides: What if the network was the sandbox? — Remy Guercio, Tailscale
Dense Slides What if the network was the sandbox? — Remy Guercio, Tailscale Source Video What if the network was the sandbox? — Remy Guercio, Tailscale https //www.youtube.com/watch?v=BM2JX9hqsVQ Method This deck is slid
Dense Slides: Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind
Dense Slides Why Senior Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind Source Video Why Senior Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind https //www.youtube.com/watc
Dense Slides: Why Agent Engineering — swyx
Dense Slides Why Agent Engineering — swyx Source Video Why Agent Engineering — swyx https //www.youtube.com/watch?v=5N33E9tC400 Method This deck is slide only. The existing captured video frame set supplies candidate fra
Dense Slides: Why Can't Anyone Answer Questions About the Business? — Garrett Galow, WorkOS
Dense Slides Why Can't Anyone Answer Questions About the Business? — Garrett Galow, WorkOS Source Video Why Can't Anyone Answer Questions About the Business? — Garrett Galow, WorkOS https //www.youtube.com/watch?v=iUWwcG
Dense Slides: Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
Dense Slides Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j Source Video Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j https //www.youtube.com/watch?
Dense Slides: Your Agent Failed in Prod. Good Luck Reproducing It. - Tisha Chawla & Susheem Koul, Microsoft
Dense Slides Your Agent Failed in Prod. Good Luck Reproducing It. Tisha Chawla & Susheem Koul, Microsoft Source Video Your Agent Failed in Prod. Good Luck Reproducing It. Tisha Chawla & Susheem Koul, Microsoft https //ww
Dense Slides: Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect
Dense Slides Your MCP Server is Bad and you should feel bad Jeremiah Lowin, Prefect Source Video Your MCP Server is Bad and you should feel bad Jeremiah Lowin, Prefect https //www.youtube.com/watch?v=96G7FLab8xc Method T
Dense Slides: Your realtime AI is ngmi — Sean DuBois (OpenAI), Kwindla Kramer (Daily)
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Reconstructed Slide Library
Reconstructed Slide Library This page indexes cleaner companion decks reconstructed by cropping likely slide regions from the extracted video frames. These pages preserve the original full stage frame decks and add a sli
Reconstructed Slides: 120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
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Reconstructed Slides: 2026: The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding
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Reconstructed Slides: [Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han
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Reconstructed Slides: AgentCraft: Putting the Orc in Orchestration — Ido Salomon
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Reconstructed Slides: Agents for Everything Else — swyx
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Reconstructed Slides: Agents need more than a chat - Jacob Lauritzen, CTO Legora
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Reconstructed Slides: Agents vs Workflows: Why Not Both? — Sam Bhagwat, Mastra.ai
Reconstructed Slides Agents vs Workflows Why Not Both? — Sam Bhagwat, Mastra.ai Source Video Agents vs Workflows Why Not Both? — Sam Bhagwat, Mastra.ai https //www.youtube.com/watch?v=8SUJEqQNClw Method This deck is reco
Reconstructed Slides: AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft
Reconstructed Slides AI Red Teaming Agent Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft Source Video AI Red Teaming Agent Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft https //www.yo
Reconstructed Slides: Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo
Reconstructed Slides Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo Source Video Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo https //www.youtube.com/watch?v=dvft0Gp9sEE Method This deck i
Reconstructed Slides: Architecting and Testing Controllable Agents: Lance Martin
Reconstructed Slides Architecting and Testing Controllable Agents Lance Martin Source Video Architecting and Testing Controllable Agents Lance Martin https //www.youtube.com/watch?v=ib wTAvCZqg Method This deck is recons
Reconstructed Slides: Arrakis: How To Build An AI Sandbox From Scratch - Abhishek Bhardwaj, OpenAI
Reconstructed Slides Arrakis How To Build An AI Sandbox From Scratch Abhishek Bhardwaj, OpenAI Source Video Arrakis How To Build An AI Sandbox From Scratch Abhishek Bhardwaj, OpenAI https //www.youtube.com/watch?v=wsFd22
Reconstructed Slides: Automating Large Scale Refactors with Parallel Agents - Robert Brennan, OpenHands
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Reconstructed Slides: AX is the only Experience that Matters - Ivan Burazin, Daytona
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Reconstructed Slides: Build & deploy AI-powered apps — Paige Bailey, Google DeepMind
Reconstructed Slides Build & deploy AI powered apps — Paige Bailey, Google DeepMind Source Video Build & deploy AI powered apps — Paige Bailey, Google DeepMind https //www.youtube.com/watch?v=G bHFmEAarM Method This deck
Reconstructed Slides: Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali, Arize
Reconstructed Slides Build a Prompt Learning Loop SallyAnn DeLucia & Fuad Ali, Arize Source Video Build a Prompt Learning Loop SallyAnn DeLucia & Fuad Ali, Arize https //www.youtube.com/watch?v=SbcQYbrvAfI Method This de
Reconstructed Slides: Building a Smarter AI Agent with Neural RAG - Will Bryk, Exa.ai
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Reconstructed Slides: Building Agents at Cloud Scale — Antje Barth, AWS
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Reconstructed Slides: Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop)
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Reconstructed Slides: Building AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndex
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Reconstructed Slides: Building an Agentic Platform — Ben Kus, CTO Box
Reconstructed Slides Building an Agentic Platform — Ben Kus, CTO Box Source Video Building an Agentic Platform — Ben Kus, CTO Box https //www.youtube.com/watch?v=12v5S1n1eOY Method This deck is reconstructed from the exi
Reconstructed Slides: Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind
Reconstructed Slides Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind Source Video Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind https //www.youtube.co
Reconstructed Slides: Building Cursor Composer – Lee Robinson, Cursor
Reconstructed Slides Building Cursor Composer – Lee Robinson, Cursor Source Video Building Cursor Composer – Lee Robinson, Cursor https //www.youtube.com/watch?v=fL1iJHtl51Q Method This deck is reconstructed from the exi
Reconstructed Slides: Building Intelligent Research Agents with Manus - Ivan Leo, Manus AI (now Meta Superintelligence)
Reconstructed Slides Building Intelligent Research Agents with Manus Ivan Leo, Manus AI now Meta Superintelligence Source Video Building Intelligent Research Agents with Manus Ivan Leo, Manus AI now Meta Superintelligenc
Reconstructed Slides: Building voice agents with OpenAI — Dominik Kundel, OpenAI
Reconstructed Slides Building voice agents with OpenAI — Dominik Kundel, OpenAI Source Video Building voice agents with OpenAI — Dominik Kundel, OpenAI https //www.youtube.com/watch?v=iXhba366fQc Method This deck is reco
Reconstructed Slides: Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar
Reconstructed Slides Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar Source Video Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar https //www.youtube.com/watch?v=NuePCNMpWGc Meth
Reconstructed Slides: CIAM for AI: Authn/Authz for Agents — Michael Grinich, CEO of WorkOS
Reconstructed Slides CIAM for AI Authn/Authz for Agents — Michael Grinich, CEO of WorkOS Source Video CIAM for AI Authn/Authz for Agents — Michael Grinich, CEO of WorkOS https //www.youtube.com/watch?v=D4Dswf RM Method T
Reconstructed Slides: Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic
Reconstructed Slides Claude Agent SDK Full Workshop — Thariq Shihipar, Anthropic Source Video Claude Agent SDK Full Workshop — Thariq Shihipar, Anthropic https //www.youtube.com/watch?v=TqC1qOfiVcQ Method This deck is re
Reconstructed Slides: Cognitive Shield Real Time Real Smart - Rachna Srivastava
Reconstructed Slides Cognitive Shield Real Time Real Smart Rachna Srivastava Source Video Cognitive Shield Real Time Real Smart Rachna Srivastava https //www.youtube.com/watch?v=5 QWh4LGoxg Method This deck is reconstruc
Reconstructed Slides: Cohere for VPs of AI: Vivek Muppalla
Reconstructed Slides Cohere for VPs of AI Vivek Muppalla Source Video Cohere for VPs of AI Vivek Muppalla https //www.youtube.com/watch?v=u3NofYYstaY Method This deck is reconstructed from the existing video frame captur
Reconstructed Slides: Connecting the Dots with Context Graphs — Stephen Chin, Neo4j
Reconstructed Slides Connecting the Dots with Context Graphs — Stephen Chin, Neo4j Source Video Connecting the Dots with Context Graphs — Stephen Chin, Neo4j https //www.youtube.com/watch?v=eW vxrjvERk Method This deck i
Reconstructed Slides: Context Is the New Code — Patrick Debois, Tessl
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Reconstructed Slides: Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs
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Reconstructed Slides: Dream Machine: Scaling to 1m users in 4 days — Keegan McCallum, Luma AI
Reconstructed Slides Dream Machine Scaling to 1m users in 4 days — Keegan McCallum, Luma AI Source Video Dream Machine Scaling to 1m users in 4 days — Keegan McCallum, Luma AI https //www.youtube.com/watch?v=EY4O9M6AsWI
Reconstructed Slides: DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners
Reconstructed Slides DSPy The End of Prompt Engineering Kevin Madura, AlixPartners Source Video DSPy The End of Prompt Engineering Kevin Madura, AlixPartners https //www.youtube.com/watch?v= cKUW6n8hBU Method This deck i
Reconstructed Slides: Evals 101 — Doug Guthrie, Braintrust
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Reconstructed Slides: From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents — Cormac Brick, Google
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Reconstructed Slides: From MCP to Scale: Pipelines That Build Themselves — Rafael Levi, Bright Data
Reconstructed Slides From MCP to Scale Pipelines That Build Themselves — Rafael Levi, Bright Data Source Video From MCP to Scale Pipelines That Build Themselves — Rafael Levi, Bright Data https //www.youtube.com/watch?v=
Reconstructed Slides: From Mixture of Experts to Mixture of Agents with Super Fast Inference - Daniel Kim & Daria Soboleva
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Reconstructed Slides: From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
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Reconstructed Slides: From Transcription to Live Music: Gemini's Audio Stack — Thor Schaeff, Google DeepMind
Reconstructed Slides From Transcription to Live Music Gemini's Audio Stack — Thor Schaeff, Google DeepMind Source Video From Transcription to Live Music Gemini's Audio Stack — Thor Schaeff, Google DeepMind https //www.yo
Reconstructed Slides: Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter
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Reconstructed Slides: GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
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Reconstructed Slides: Harnesses in AI: A Deep Dive — Tejas Kumar, IBM
Reconstructed Slides Harnesses in AI A Deep Dive — Tejas Kumar, IBM Source Video Harnesses in AI A Deep Dive — Tejas Kumar, IBM https //www.youtube.com/watch?v=C GG5g38vLU Method This deck is reconstructed from the exist
Reconstructed Slides: How fast are LLM inference engines anyway? — Charles Frye, Modal
Reconstructed Slides How fast are LLM inference engines anyway? — Charles Frye, Modal Source Video How fast are LLM inference engines anyway? — Charles Frye, Modal https //www.youtube.com/watch?v=DeFF3J8T5Pk Method This
Reconstructed Slides: How LLMs work for Web Devs: GPT in 600 lines of Vanilla JS - Ishan Anand
Reconstructed Slides How LLMs work for Web Devs GPT in 600 lines of Vanilla JS Ishan Anand Source Video How LLMs work for Web Devs GPT in 600 lines of Vanilla JS Ishan Anand https //www.youtube.com/watch?v=ZuiJjkbX0Og Me
Reconstructed Slides: How to Build Planning Agents without losing control - Yogendra Miraje, Factset
Reconstructed Slides How to Build Planning Agents without losing control Yogendra Miraje, Factset Source Video How to Build Planning Agents without losing control Yogendra Miraje, Factset https //www.youtube.com/watch?v=
Reconstructed Slides: How to build world-class AI products — Sarah Sachs (AI lead @ Notion) & Carlos Esteban (Braintrust)
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Reconstructed Slides: How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)
Reconstructed Slides How to look at your data — Jeff Huber Chroma + Jason Liu 567 Source Video How to look at your data — Jeff Huber Chroma + Jason Liu 567 https //www.youtube.com/watch?v=jryZvCuA0Uc Method This deck is
Reconstructed Slides: How Windsurf writes 90% of your code with an Agentic IDE - Kevin Hou, Windsurf
Reconstructed Slides How Windsurf writes 90% of your code with an Agentic IDE Kevin Hou, Windsurf Source Video How Windsurf writes 90% of your code with an Agentic IDE Kevin Hou, Windsurf https //www.youtube.com/watch?v=
Reconstructed Slides: Jack Morris: Stuffing Context is not Memory, Updating Weights is
Reconstructed Slides Jack Morris Stuffing Context is not Memory, Updating Weights is Source Video Jack Morris Stuffing Context is not Memory, Updating Weights is https //www.youtube.com/watch?v=Jty4s9 Jb78 Method This de
Reconstructed Slides: Katelyn Lesse – Evolving Claude APIs for Agents, Anthropic
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Reconstructed Slides: Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)
Reconstructed Slides Leadership in AI Assisted Engineering – Justin Reock, DX acq. Atlassian Source Video Leadership in AI Assisted Engineering – Justin Reock, DX acq. Atlassian https //www.youtube.com/watch?v=PmZDupFP3U
Reconstructed Slides: Letting AI Interface with your App with MCP — Kent C Dodds
Reconstructed Slides Letting AI Interface with your App with MCP — Kent C Dodds Source Video Letting AI Interface with your App with MCP — Kent C Dodds https //www.youtube.com/watch?v=EyZiAp0pelw Method This deck is reco
Reconstructed Slides: LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize
Reconstructed Slides LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize Source Video LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize https //www.youtube.com/watch?v=JsCCrBF7
Reconstructed Slides: Make your LLM app a Domain Expert: How to Build an Expert System — Christopher Lovejoy, Anterior
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Reconstructed Slides: Making Codebases Agent Ready – Eno Reyes, Factory AI
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Reconstructed Slides: MCP is all you need — Samuel Colvin, Pydantic
Reconstructed Slides MCP is all you need — Samuel Colvin, Pydantic Source Video MCP is all you need — Samuel Colvin, Pydantic https //www.youtube.com/watch?v=bmWZk9vTze0 Method This deck is reconstructed from the existin
Reconstructed Slides: MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps
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Reconstructed Slides: Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked
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Reconstructed Slides: Minimax M2: Building the #1 Open Model – Olive Song, MiniMax
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Reconstructed Slides: Moving away from Agile: What's Next – Martin Harrysson & Natasha Maniar, McKinsey & Company
Reconstructed Slides Moving away from Agile What's Next – Martin Harrysson & Natasha Maniar, McKinsey & Company Source Video Moving away from Agile What's Next – Martin Harrysson & Natasha Maniar, McKinsey & Company http
Reconstructed Slides: New York Times' Connections: A Case Study on NLP in Word Games — Shafik Quoraishee, NYT Games
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Reconstructed Slides: No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer
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Reconstructed Slides: OpenAI + @Temporalio : Building Durable, Production Ready Agents - Cornelia Davis, Temporal
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Reconstructed Slides: Optimizing inference for voice models in production - Philip Kiely, Baseten
Reconstructed Slides Optimizing inference for voice models in production Philip Kiely, Baseten Source Video Optimizing inference for voice models in production Philip Kiely, Baseten https //www.youtube.com/watch?v=gmTHs5
Reconstructed Slides: RAG Evaluation Is Broken! Here's Why (And How to Fix It) - Yuval Belfer and Niv Granot
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Reconstructed Slides: Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison
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Reconstructed Slides: Real-time Experiments with an AI Co-Scientist - Stefania Druga, fmr. Google Deepmind
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Reconstructed Slides: Realtime Data Connectivity for AI: Tanmai Gopal
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Reconstructed Slides: Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs - Eugene Yan, Amazon
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Reconstructed Slides: Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley
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Reconstructed Slides: Run Frontier AI at Home — Alex Cheema, EXO Labs
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Reconstructed Slides: Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner
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Reconstructed Slides: Self-Training Agents: Hermes Agent, HF Traces, Skills, MCP & Finetuning — Merve Noyan, Hugging Face
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Reconstructed Slides: Ship Agents that Ship: A Hands-On Workshop - Kyle Penfound, Jeremy Adams, Dagger
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Reconstructed Slides: Ship it! Building Production Ready Agents — Mike Chambers, AWS
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Reconstructed Slides: Stop babysitting your agents... — Brandon Waselnuk, Unblocked
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Reconstructed Slides: Stop Using RAG as Memory — Daniel Chalef, Zep
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Reconstructed Slides: Structuring a modern AI team — Denys Linkov, Wisedocs
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Reconstructed Slides: Teaching Gemini to Speak YouTube: Adapting LLMs for Video Recommendations to 2B+DAU - Devansh Tandon
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Reconstructed Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify
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Reconstructed Slides: The Bitter Layout or: How I Learned to Love the Model Picker — Maximillian Piras, Yutori
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Reconstructed Slides: The emerging skillset of wielding coding agents — Beyang Liu, Sourcegraph / Amp
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Reconstructed Slides: The era of unbounded products: Designing for Multimodal IO: Ben Hylak
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Reconstructed Slides: The rise of the agentic economy on the shoulders of MCP — Jan Curn, Apify
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Reconstructed Slides: The Small Model Infrastructure Nobody Built (So We Did) — Filip Makraduli, Superlinked
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Reconstructed Slides: The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo
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Reconstructed Slides: The State of MCP observability: Observable.tools — Alex Volkov and Benjamin Eckel, W&B and Dylibso
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Reconstructed Slides: The Web Browser Is All You Need - Paul Klein IV, Browserbase
Reconstructed Slides The Web Browser Is All You Need Paul Klein IV, Browserbase Source Video The Web Browser Is All You Need Paul Klein IV, Browserbase https //www.youtube.com/watch?v=YRGjll7uu5w Method This deck is reco
Reconstructed Slides: Training Agentic Reasoners — Will Brown, Prime Intellect
Reconstructed Slides Training Agentic Reasoners — Will Brown, Prime Intellect Source Video Training Agentic Reasoners — Will Brown, Prime Intellect https //www.youtube.com/watch?v=PbHm2qKnu10 Method This deck is reconstr
Reconstructed Slides: Trends Across the AI Frontier — George Cameron, ArtificialAnalysis.ai
Reconstructed Slides Trends Across the AI Frontier — George Cameron, ArtificialAnalysis.ai Source Video Trends Across the AI Frontier — George Cameron, ArtificialAnalysis.ai https //www.youtube.com/watch?v=sRpqPgKeXNk Me
Reconstructed Slides: Trust, but Verify: Shreya Rajpal
Reconstructed Slides Trust, but Verify Shreya Rajpal Source Video Trust, but Verify Shreya Rajpal https //www.youtube.com/watch?v=9 vGxMoUM9Y Method This deck is reconstructed from the existing video frame captures by de
Reconstructed Slides: Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI
Reconstructed Slides Turn 10,994 Notes Into Memory Paul Iusztin, Decoding AI & Louis François Bouchard, Towards AI Source Video Turn 10,994 Notes Into Memory Paul Iusztin, Decoding AI & Louis François Bouchard, Towards A
Reconstructed Slides: Voice AI: when is the \"Her\" moment? — Neil Zeghidour, CEO, Gradium AI
Reconstructed Slides Voice AI when is the "Her" moment? — Neil Zeghidour, CEO, Gradium AI Source Video Voice AI when is the "Her" moment? — Neil Zeghidour, CEO, Gradium AI https //www.youtube.com/watch?v=P RI1kCkRbo Meth
Reconstructed Slides: WF2026: Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recursive
Reconstructed Slides WF2026 Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recursive Source Video WF2026 Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena
Reconstructed Slides: WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF
Reconstructed Slides WF2026 Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai GLM , MiniMax, HF Source Video WF2026 Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai GLM , MiniMax, HF
Reconstructed Slides: What if the network was the sandbox? — Remy Guercio, Tailscale
Reconstructed Slides What if the network was the sandbox? — Remy Guercio, Tailscale Source Video What if the network was the sandbox? — Remy Guercio, Tailscale https //www.youtube.com/watch?v=BM2JX9hqsVQ Method This deck
Reconstructed Slides: Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind
Reconstructed Slides Why Senior Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind Source Video Why Senior Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind https //www.youtube.
Reconstructed Slides: Why Agent Engineering — swyx
Reconstructed Slides Why Agent Engineering — swyx Source Video Why Agent Engineering — swyx https //www.youtube.com/watch?v=5N33E9tC400 Method This deck is reconstructed from the existing video frame captures by detectin
Reconstructed Slides: Why Can't Anyone Answer Questions About the Business? — Garrett Galow, WorkOS
Reconstructed Slides Why Can't Anyone Answer Questions About the Business? — Garrett Galow, WorkOS Source Video Why Can't Anyone Answer Questions About the Business? — Garrett Galow, WorkOS https //www.youtube.com/watch?
Reconstructed Slides: Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
Reconstructed Slides Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j Source Video Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j https //www.youtube.co
Reconstructed Slides: Your Agent Failed in Prod. Good Luck Reproducing It. - Tisha Chawla & Susheem Koul, Microsoft
Reconstructed Slides Your Agent Failed in Prod. Good Luck Reproducing It. Tisha Chawla & Susheem Koul, Microsoft Source Video Your Agent Failed in Prod. Good Luck Reproducing It. Tisha Chawla & Susheem Koul, Microsoft ht
Reconstructed Slides: Your Attention Is the Bottleneck, Not Your Agents — Zack Proser, WorkOS
Reconstructed Slides Your Attention Is the Bottleneck, Not Your Agents — Zack Proser, WorkOS Source Video Your Attention Is the Bottleneck, Not Your Agents — Zack Proser, WorkOS https //www.youtube.com/watch?v=so9l MwS2y
Reconstructed Slides: Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect
Reconstructed Slides Your MCP Server is Bad and you should feel bad Jeremiah Lowin, Prefect Source Video Your MCP Server is Bad and you should feel bad Jeremiah Lowin, Prefect https //www.youtube.com/watch?v=96G7FLab8xc
Reconstructed Slides: Your realtime AI is ngmi — Sean DuBois (OpenAI), Kwindla Kramer (Daily)
Reconstructed Slides Your realtime AI is ngmi — Sean DuBois OpenAI , Kwindla Kramer Daily Source Video Your realtime AI is ngmi — Sean DuBois OpenAI , Kwindla Kramer Daily https //www.youtube.com/watch?v=E71YtNbCFXY Meth
Slide Library
Slide Library This page summarizes extracted slide decks from speaker matched AI Engineer YouTube videos. OCR is best effort and should be checked against the embedded slide images. Coverage Slide decks 380 Extracted sli
Slides: 120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
Slides 120k players in a week Lessons from the first viral CLIP app Joseph Nelson Source Video 120k players in a week Lessons from the first viral CLIP app Joseph Nelson https //www.youtube.com/watch?v=OimPoLxioYg Relati
Slides: 20 days of compute vs 7 hours: rethinking what state-of-the-art means — Bertrand Charpentier, Pruna
Slides 20 days of compute vs 7 hours rethinking what state of the art means — Bertrand Charpentier, Pruna Source Video 20 days of compute vs 7 hours rethinking what state of the art means — Bertrand Charpentier, Pruna ht
Slides: 2026 AI Engineer Vibe Reel
Slides 2026 AI Engineer Vibe Reel Source Video 2026 AI Engineer Vibe Reel https //www.youtube.com/watch?v=gUMwt4 5kn0 Relationship To World's Fair 2026 These slides are extracted from a public AI Engineer YouTube video c
Slides: 2026: The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding
Slides 2026 The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding Source Video 2026 The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding https //www.youtube.com/watch?v=7Dtu2bilcFs Relation
Slides: 6 Things to Know about AIE World's Fair 2026
Slides 6 Things to Know about AIE World's Fair 2026 Source Video 6 Things to Know about AIE World's Fair 2026 https //www.youtube.com/watch?v=0S8xe9ftGTM Relationship To World's Fair 2026 These slides are extracted from
Slides: [Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han
Slides Full Workshop Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han Source Video Full Workshop Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han https //www.yo
Slides: A Genius With Amnesia - Victor Savkin, Nx
Slides A Genius With Amnesia Victor Savkin, Nx Source Video A Genius With Amnesia Victor Savkin, Nx https //www.youtube.com/watch?v=jVjt 2g8NMY Relationship To World's Fair 2026 These slides are extracted from a public A
Slides: AgentCraft: Putting the Orc in Orchestration — Ido Salomon
Slides AgentCraft Putting the Orc in Orchestration — Ido Salomon Source Video AgentCraft Putting the Orc in Orchestration — Ido Salomon https //www.youtube.com/watch?v=kR64LOqBBCU Relationship To World's Fair 2026 These
Slides: Agents Building Agents - Alfonso Graziano, Nearform
Slides Agents Building Agents Alfonso Graziano, Nearform Source Video Agents Building Agents Alfonso Graziano, Nearform https //www.youtube.com/watch?v=aHhB3sjGjkI Relationship To World's Fair 2026 These slides are extra
Slides: Agents for Everything Else — swyx
Slides Agents for Everything Else — swyx Source Video Agents for Everything Else — swyx https //www.youtube.com/watch?v=zepu8Kk6FBQ Relationship To World's Fair 2026 These slides are extracted from a public AI Engineer Y
Slides: Agents in Production: How OpenGov Built and Scaled OG Assist - Gabe De Mesa, OpenGov
Slides Agents in Production How OpenGov Built and Scaled OG Assist Gabe De Mesa, OpenGov Source Video Agents in Production How OpenGov Built and Scaled OG Assist Gabe De Mesa, OpenGov https //www.youtube.com/watch?v=4uFV
Slides: Agents need more than a chat - Jacob Lauritzen, CTO Legora
Slides Agents need more than a chat Jacob Lauritzen, CTO Legora Source Video Agents need more than a chat Jacob Lauritzen, CTO Legora https //www.youtube.com/watch?v=XNtkiQJ49Ps Relationship To World's Fair 2026 These sl
Slides: Agents vs Workflows: Why Not Both? — Sam Bhagwat, Mastra.ai
Slides Agents vs Workflows Why Not Both? — Sam Bhagwat, Mastra.ai Source Video Agents vs Workflows Why Not Both? — Sam Bhagwat, Mastra.ai https //www.youtube.com/watch?v=8SUJEqQNClw Relationship To World's Fair 2026 Thes
Slides: AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft
Slides AI Red Teaming Agent Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft Source Video AI Red Teaming Agent Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft https //www.youtube.com/watc
Slides: AI System Design: From Idea to Production - Apoorva Joshi, MongoDB
Slides AI System Design From Idea to Production Apoorva Joshi, MongoDB Source Video AI System Design From Idea to Production Apoorva Joshi, MongoDB https //www.youtube.com/watch?v=T0HhO4YtTfE Relationship To World's Fair
Slides: AI-Driven Multi-Document Correlation for Financial Compliance - Varsha Shah, Independent
Slides AI Driven Multi Document Correlation for Financial Compliance Varsha Shah, Independent Source Video AI Driven Multi Document Correlation for Financial Compliance Varsha Shah, Independent https //www.youtube.com/wa
Slides: Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo
Slides Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo Source Video Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo https //www.youtube.com/watch?v=dvft0Gp9sEE Relationship To World's Fair 202
Slides: Architecting and Testing Controllable Agents: Lance Martin
Slides Architecting and Testing Controllable Agents Lance Martin Source Video Architecting and Testing Controllable Agents Lance Martin https //www.youtube.com/watch?v=ib wTAvCZqg Relationship To World's Fair 2026 These
Slides: Arrakis: How To Build An AI Sandbox From Scratch - Abhishek Bhardwaj, OpenAI
Slides Arrakis How To Build An AI Sandbox From Scratch Abhishek Bhardwaj, OpenAI Source Video Arrakis How To Build An AI Sandbox From Scratch Abhishek Bhardwaj, OpenAI https //www.youtube.com/watch?v=wsFd22SL1s8 Relation
Slides: Automating Large Scale Refactors with Parallel Agents - Robert Brennan, OpenHands
Slides Automating Large Scale Refactors with Parallel Agents Robert Brennan, OpenHands Source Video Automating Large Scale Refactors with Parallel Agents Robert Brennan, OpenHands https //www.youtube.com/watch?v=rcsliSIy
Slides: AX is the only Experience that Matters - Ivan Burazin, Daytona
Slides AX is the only Experience that Matters Ivan Burazin, Daytona Source Video AX is the only Experience that Matters Ivan Burazin, Daytona https //www.youtube.com/watch?v=e9sLVMN76qU Relationship To World's Fair 2026
Slides: BDD, ADR, PRD, WTF: Capturing Decisions for Humans and AI Alike — Michal Cichra, Safe Intelligence
Slides BDD, ADR, PRD, WTF Capturing Decisions for Humans and AI Alike — Michal Cichra, Safe Intelligence Source Video BDD, ADR, PRD, WTF Capturing Decisions for Humans and AI Alike — Michal Cichra, Safe Intelligence http
Slides: Benchmarking semantic code retrieval on Claude Code — Kuba Rogut, Turbopuffer
Slides Benchmarking semantic code retrieval on Claude Code — Kuba Rogut, Turbopuffer Source Video Benchmarking semantic code retrieval on Claude Code — Kuba Rogut, Turbopuffer https //www.youtube.com/watch?v=zKk7sDMGDEQ
Slides: Beyond Components: Designing Generative UI for MCP Apps — Ruben Casas, Postman
Slides Beyond Components Designing Generative UI for MCP Apps — Ruben Casas, Postman Source Video Beyond Components Designing Generative UI for MCP Apps — Ruben Casas, Postman https //www.youtube.com/watch?v=hCMrEfPG2Yg
Slides: Beyond Transcription: Building Voice AI That Understands Conversations — Hervé Bredin, pyannoteAI
Slides Beyond Transcription Building Voice AI That Understands Conversations — Hervé Bredin, pyannoteAI Source Video Beyond Transcription Building Voice AI That Understands Conversations — Hervé Bredin, pyannoteAI https
Slides: Browser Agents Don't Need Better Models. They Need Better Eyes. - Kushan Raj, ARK
Slides Browser Agents Don't Need Better Models. They Need Better Eyes. Kushan Raj, ARK Source Video Browser Agents Don't Need Better Models. They Need Better Eyes. Kushan Raj, ARK https //www.youtube.com/watch?v=JnubYCYu
Slides: Build & deploy AI-powered apps — Paige Bailey, Google DeepMind
Slides Build & deploy AI powered apps — Paige Bailey, Google DeepMind Source Video Build & deploy AI powered apps — Paige Bailey, Google DeepMind https //www.youtube.com/watch?v=G bHFmEAarM Relationship To World's Fair 2
Slides: Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali, Arize
Slides Build a Prompt Learning Loop SallyAnn DeLucia & Fuad Ali, Arize Source Video Build a Prompt Learning Loop SallyAnn DeLucia & Fuad Ali, Arize https //www.youtube.com/watch?v=SbcQYbrvAfI Relationship To World's Fair
Slides: Build Systems, Not Code - Angie Jones, Agentic AI Foundation
Slides Build Systems, Not Code Angie Jones, Agentic AI Foundation Source Video Build Systems, Not Code Angie Jones, Agentic AI Foundation https //www.youtube.com/watch?v=ZD9 4fW2HhM Relationship To World's Fair 2026 Thes
Slides: Building a Smarter AI Agent with Neural RAG - Will Bryk, Exa.ai
Slides Building a Smarter AI Agent with Neural RAG Will Bryk, Exa.ai Source Video Building a Smarter AI Agent with Neural RAG Will Bryk, Exa.ai https //www.youtube.com/watch?v=xnXqpUW Kp8 Relationship To World's Fair 202
Slides: Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents — Michael Hablich, Google
Slides Building Agent Interfaces Lessons from Chrome DevTools MCP for Agents — Michael Hablich, Google Source Video Building Agent Interfaces Lessons from Chrome DevTools MCP for Agents — Michael Hablich, Google https //
Slides: Building Agents at Cloud Scale — Antje Barth, AWS
Slides Building Agents at Cloud Scale — Antje Barth, AWS Source Video Building Agents at Cloud Scale — Antje Barth, AWS https //www.youtube.com/watch?v=WJjInLeaJjo Relationship To World's Fair 2026 These slides are extra
Slides: Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop)
Slides Building Agents with Amazon Nova Act and MCP Du'An Lightfoot, Amazon Full Workshop Source Video Building Agents with Amazon Nova Act and MCP Du'An Lightfoot, Amazon Full Workshop https //www.youtube.com/watch?v=wF
Slides: Building AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndex
Slides Building AI Agents that actually automate Knowledge Work Jerry Liu, LlamaIndex Source Video Building AI Agents that actually automate Knowledge Work Jerry Liu, LlamaIndex https //www.youtube.com/watch?v=jVGCulhBRZ
Slides: Building an Agentic Platform — Ben Kus, CTO Box
Slides Building an Agentic Platform — Ben Kus, CTO Box Source Video Building an Agentic Platform — Ben Kus, CTO Box https //www.youtube.com/watch?v=12v5S1n1eOY Relationship To World's Fair 2026 These slides are extracted
Slides: Building an Autonomous Engineering Org - Angie Jones, Agentic AI Foundation
Slides Building an Autonomous Engineering Org Angie Jones, Agentic AI Foundation Source Video Building an Autonomous Engineering Org Angie Jones, Agentic AI Foundation https //www.youtube.com/watch?v=whue9 YquGA Relation
Slides: Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind
Slides Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind Source Video Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind https //www.youtube.com/watch?v=cVzf
Slides: Building Cursor Composer – Lee Robinson, Cursor
Slides Building Cursor Composer – Lee Robinson, Cursor Source Video Building Cursor Composer – Lee Robinson, Cursor https //www.youtube.com/watch?v=fL1iJHtl51Q Relationship To World's Fair 2026 These slides are extracted
Slides: Building Great Agent Skills: The Missing Manual
Slides Building Great Agent Skills The Missing Manual Source Video Building Great Agent Skills The Missing Manual https //www.youtube.com/watch?v=UNzCG3lw6O0 Relationship To World's Fair 2026 These slides are extracted f
Slides: Building Intelligent Research Agents with Manus - Ivan Leo, Manus AI (now Meta Superintelligence)
Slides Building Intelligent Research Agents with Manus Ivan Leo, Manus AI now Meta Superintelligence Source Video Building Intelligent Research Agents with Manus Ivan Leo, Manus AI now Meta Superintelligence https //www.
Slides: Building Interactive UIs in VS Code with MCP Apps — Marlene Mhangami & Liam Hampton, GitHub
Slides Building Interactive UIs in VS Code with MCP Apps — Marlene Mhangami & Liam Hampton, GitHub Source Video Building Interactive UIs in VS Code with MCP Apps — Marlene Mhangami & Liam Hampton, GitHub https //www.yout
Slides: Building safe Payment Infrastructure for the autonomous economy — Steve Kaliski, Stripe
Slides Building safe Payment Infrastructure for the autonomous economy — Steve Kaliski, Stripe Source Video Building safe Payment Infrastructure for the autonomous economy — Steve Kaliski, Stripe https //www.youtube.com/
Slides: Building voice agents with OpenAI — Dominik Kundel, OpenAI
Slides Building voice agents with OpenAI — Dominik Kundel, OpenAI Source Video Building voice agents with OpenAI — Dominik Kundel, OpenAI https //www.youtube.com/watch?v=iXhba366fQc Relationship To World's Fair 2026 Thes
Slides: Bypassing the Multimodal Tax: Hybrid RAG, SQL RRF & UI Telemetry - Abed Matini, Ogilvy
Slides Bypassing the Multimodal Tax Hybrid RAG, SQL RRF & UI Telemetry Abed Matini, Ogilvy Source Video Bypassing the Multimodal Tax Hybrid RAG, SQL RRF & UI Telemetry Abed Matini, Ogilvy https //www.youtube.com/watch?v=
Slides: Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar
Slides Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar Source Video Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar https //www.youtube.com/watch?v=NuePCNMpWGc Relationship To Wo
Slides: CIAM for AI: Authn/Authz for Agents — Michael Grinich, CEO of WorkOS
Slides CIAM for AI Authn/Authz for Agents — Michael Grinich, CEO of WorkOS Source Video CIAM for AI Authn/Authz for Agents — Michael Grinich, CEO of WorkOS https //www.youtube.com/watch?v=D4Dswf RM Relationship To World'
Slides: Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic
Slides Claude Agent SDK Full Workshop — Thariq Shihipar, Anthropic Source Video Claude Agent SDK Full Workshop — Thariq Shihipar, Anthropic https //www.youtube.com/watch?v=TqC1qOfiVcQ Relationship To World's Fair 2026 Th
Slides: Cognitive Shield Real Time Real Smart - Rachna Srivastava
Slides Cognitive Shield Real Time Real Smart Rachna Srivastava Source Video Cognitive Shield Real Time Real Smart Rachna Srivastava https //www.youtube.com/watch?v=5 QWh4LGoxg Relationship To World's Fair 2026 These slid
Slides: Cohere for VPs of AI: Vivek Muppalla
Slides Cohere for VPs of AI Vivek Muppalla Source Video Cohere for VPs of AI Vivek Muppalla https //www.youtube.com/watch?v=u3NofYYstaY Relationship To World's Fair 2026 These slides are extracted from a public AI Engine
Slides: Connecting the Dots with Context Graphs — Stephen Chin, Neo4j
Slides Connecting the Dots with Context Graphs — Stephen Chin, Neo4j Source Video Connecting the Dots with Context Graphs — Stephen Chin, Neo4j https //www.youtube.com/watch?v=eW vxrjvERk Relationship To World's Fair 202
Slides: Context Is the New Code — Patrick Debois, Tessl
Slides Context Is the New Code — Patrick Debois, Tessl Source Video Context Is the New Code — Patrick Debois, Tessl https //www.youtube.com/watch?v=bSG9wUYaHWU Relationship To World's Fair 2026 These slides are extracted
Slides: Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAI
Slides Continual Learning for AI Agents From Failures to Durable Improvements Soheil Feizi, RELAI Source Video Continual Learning for AI Agents From Failures to Durable Improvements Soheil Feizi, RELAI https //www.youtub
Slides: Dark Factory: OpenClaw Ships Faster Than You Can Read the Diff — Vincent Koc, OpenClaw
Slides Dark Factory OpenClaw Ships Faster Than You Can Read the Diff — Vincent Koc, OpenClaw Source Video Dark Factory OpenClaw Ships Faster Than You Can Read the Diff — Vincent Koc, OpenClaw https //www.youtube.com/watc
Slides: Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs
Slides Deterministic Infra for Non Deterministic AI Agents Nishant Gupta, Meta Superintelligence Labs Source Video Deterministic Infra for Non Deterministic AI Agents Nishant Gupta, Meta Superintelligence Labs https //ww
Slides: Dream Machine: Scaling to 1m users in 4 days — Keegan McCallum, Luma AI
Slides Dream Machine Scaling to 1m users in 4 days — Keegan McCallum, Luma AI Source Video Dream Machine Scaling to 1m users in 4 days — Keegan McCallum, Luma AI https //www.youtube.com/watch?v=EY4O9M6AsWI Relationship T
Slides: DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners
Slides DSPy The End of Prompt Engineering Kevin Madura, AlixPartners Source Video DSPy The End of Prompt Engineering Kevin Madura, AlixPartners https //www.youtube.com/watch?v= cKUW6n8hBU Relationship To World's Fair 202
Slides: Evals 101 — Doug Guthrie, Braintrust
Slides Evals 101 — Doug Guthrie, Braintrust Source Video Evals 101 — Doug Guthrie, Braintrust https //www.youtube.com/watch?v=bk0TmxoZlUY Relationship To World's Fair 2026 These slides are extracted from a public AI Engi
Slides: Evals Are Broken, Use Them Anyway — Ara Khan, Cline
Slides Evals Are Broken, Use Them Anyway — Ara Khan, Cline Source Video Evals Are Broken, Use Them Anyway — Ara Khan, Cline https //www.youtube.com/watch?v=QuuIywMG4s8 Relationship To World's Fair 2026 These slides are e
Slides: Field Guide to Fable — Thariq Shihipar, Anthropic
Slides Field Guide to Fable — Thariq Shihipar, Anthropic Source Video Field Guide to Fable — Thariq Shihipar, Anthropic https //www.youtube.com/watch?v=9fubhllmsBU Relationship To World's Fair 2026 These slides are extra
Slides: From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents — Cormac Brick, Google
Slides From 46% to 90% Fine Tuning Tiny LLMs for On Device Agents — Cormac Brick, Google Source Video From 46% to 90% Fine Tuning Tiny LLMs for On Device Agents — Cormac Brick, Google https //www.youtube.com/watch?v= TiE
Slides: From MCP to Scale: Pipelines That Build Themselves — Rafael Levi, Bright Data
Slides From MCP to Scale Pipelines That Build Themselves — Rafael Levi, Bright Data Source Video From MCP to Scale Pipelines That Build Themselves — Rafael Levi, Bright Data https //www.youtube.com/watch?v=zTZ0qunQXnM Re
Slides: From Mixture of Experts to Mixture of Agents with Super Fast Inference - Daniel Kim & Daria Soboleva
Slides From Mixture of Experts to Mixture of Agents with Super Fast Inference Daniel Kim & Daria Soboleva Source Video From Mixture of Experts to Mixture of Agents with Super Fast Inference Daniel Kim & Daria Soboleva ht
Slides: From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
Slides From Text to Vision to Voice Exploring Multimodality with Open AI Romain Huet Source Video From Text to Vision to Voice Exploring Multimodality with Open AI Romain Huet https //www.youtube.com/watch?v=yJHw33cVeHo
Slides: From Transcription to Live Music: Gemini's Audio Stack — Thor Schaeff, Google DeepMind
Slides From Transcription to Live Music Gemini's Audio Stack — Thor Schaeff, Google DeepMind Source Video From Transcription to Live Music Gemini's Audio Stack — Thor Schaeff, Google DeepMind https //www.youtube.com/watc
Slides: Frontier results, on device - RL Nabors, Arize
Slides Frontier results, on device RL Nabors, Arize Source Video Frontier results, on device RL Nabors, Arize https //www.youtube.com/watch?v=fWXJM J0ZB8 Relationship To World's Fair 2026 These slides are extracted from
Slides: Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter
Slides Fun stories from building OpenRouter and where all this is going Alex Atallah, OpenRouter Source Video Fun stories from building OpenRouter and where all this is going Alex Atallah, OpenRouter https //www.youtube.
Slides: GPU Cloud Deployment Without Leaving Your IDE — Audry Hsu, RunPod
Slides GPU Cloud Deployment Without Leaving Your IDE — Audry Hsu, RunPod Source Video GPU Cloud Deployment Without Leaving Your IDE — Audry Hsu, RunPod https //www.youtube.com/watch?v=zDGHt0LB dA Relationship To World's
Slides: GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
Slides GraphRAG The Marriage of Knowledge Graphs and RAG Emil Eifrem Source Video GraphRAG The Marriage of Knowledge Graphs and RAG Emil Eifrem https //www.youtube.com/watch?v=knDDGYHnnSI Relationship To World's Fair 202
Slides: Harnesses in AI: A Deep Dive — Tejas Kumar, IBM
Slides Harnesses in AI A Deep Dive — Tejas Kumar, IBM Source Video Harnesses in AI A Deep Dive — Tejas Kumar, IBM https //www.youtube.com/watch?v=C GG5g38vLU Relationship To World's Fair 2026 These slides are extracted f
Slides: How fast are LLM inference engines anyway? — Charles Frye, Modal
Slides How fast are LLM inference engines anyway? — Charles Frye, Modal Source Video How fast are LLM inference engines anyway? — Charles Frye, Modal https //www.youtube.com/watch?v=DeFF3J8T5Pk Relationship To World's Fa
Slides: How LLMs work for Web Devs: GPT in 600 lines of Vanilla JS - Ishan Anand
Slides How LLMs work for Web Devs GPT in 600 lines of Vanilla JS Ishan Anand Source Video How LLMs work for Web Devs GPT in 600 lines of Vanilla JS Ishan Anand https //www.youtube.com/watch?v=ZuiJjkbX0Og Relationship To
Slides: How Lovable self-improves every hour — Benjamin Verbeek, Lovable
Slides How Lovable self improves every hour — Benjamin Verbeek, Lovable Source Video How Lovable self improves every hour — Benjamin Verbeek, Lovable https //www.youtube.com/watch?v=KA5kPbdkK2E Relationship To World's Fa
Slides: How to Build Planning Agents without losing control - Yogendra Miraje, Factset
Slides How to Build Planning Agents without losing control Yogendra Miraje, Factset Source Video How to Build Planning Agents without losing control Yogendra Miraje, Factset https //www.youtube.com/watch?v=sl3icG IjHo Re
Slides: How to build world-class AI products — Sarah Sachs (AI lead @ Notion) & Carlos Esteban (Braintrust)
Slides How to build world class AI products — Sarah Sachs AI lead @ Notion & Carlos Esteban Braintrust Source Video How to build world class AI products — Sarah Sachs AI lead @ Notion & Carlos Esteban Braintrust https //
Slides: How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)
Slides How to look at your data — Jeff Huber Chroma + Jason Liu 567 Source Video How to look at your data — Jeff Huber Chroma + Jason Liu 567 https //www.youtube.com/watch?v=jryZvCuA0Uc Relationship To World's Fair 2026
Slides: How to talk to statues — Joe Reeve, ElevenLabs
Slides How to talk to statues — Joe Reeve, ElevenLabs Source Video How to talk to statues — Joe Reeve, ElevenLabs https //www.youtube.com/watch?v=u rJwPPU3QA Relationship To World's Fair 2026 These slides are extracted f
Slides: How Windsurf writes 90% of your code with an Agentic IDE - Kevin Hou, Windsurf
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Slides: Jack Morris: Stuffing Context is not Memory, Updating Weights is
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Slides: Katelyn Lesse – Evolving Claude APIs for Agents, Anthropic
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Slides: Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)
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Slides: Letting AI Interface with your App with MCP — Kent C Dodds
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Slides: LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize
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Slides: Make your LLM app a Domain Expert: How to Build an Expert System — Christopher Lovejoy, Anterior
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Slides: Making Codebases Agent Ready – Eno Reyes, Factory AI
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Slides: MCP Apps: Primitives, discovery, and the Future of Software - Pietro Zullo, Manufact, Inc
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Slides: MCP is all you need — Samuel Colvin, Pydantic
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Slides: MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps
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Slides: Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked
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Slides: Moving away from Agile: What's Next – Martin Harrysson & Natasha Maniar, McKinsey & Company
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Slides: OpenAI + @Temporalio : Building Durable, Production Ready Agents - Cornelia Davis, Temporal
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Slides: OpenClaw in Your Hand: Building a Physical AI Terminal - Lech Kalinowski, Callstack
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Slides: OpenThoughts: Data Recipes for Reasoning Models — Ryan Marten, Bespoke Labs
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Slides: Production Evals For Agentic AI Systems - Nishant Gupta, Meta Superintelligence Labs
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Slides: RAG Evaluation Is Broken! Here's Why (And How to Fix It) - Yuval Belfer and Niv Granot
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Slides: Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison
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Slides: Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs - Eugene Yan, Amazon
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Slides: Recursive Coding Agents - Raymond Weitekamp, OpenProse
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Slides: Research to Reality: Bringing Frontier ML Research to Production - Vaidas Razgaitis, Higharc
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Slides: Road to 5 Million Tokens: Breaking Barriers in Long Context Training — Max Ryabinin, Together AI
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Slides: Run Frontier AI at Home — Alex Cheema, EXO Labs
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Slides: Self Driving Products: Product Signals to Pull Requests — Joshua Snyder, PostHog
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Slides: Ship Agents that Ship: A Hands-On Workshop - Kyle Penfound, Jeremy Adams, Dagger
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Slides: Ship it! Building Production Ready Agents — Mike Chambers, AWS
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Slides: Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize
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Slides: Sovereign Escape Velocity: Ownership w Open Models — Gus Martins, & Ian Ballantyne, Google DeepMind
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Slides: Stop babysitting your agents... — Brandon Waselnuk, Unblocked
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Slides: Stop Making Models Bigger, Make Them Behave — Kobie Crawford, Snorkel
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Slides: Structuring a modern AI team — Denys Linkov, Wisedocs
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Slides: Structuring the Unstructured - Cedric Clyburn, Red Hat
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Slides: Teaching Gemini to Speak YouTube: Adapting LLMs for Video Recommendations to 2B+DAU - Devansh Tandon
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Slides: Text Diffusion — Brendan O’Donoghue, Google DeepMind
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Slides: The 1,000x AI Engineer: Swyx
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Slides: The 100-Tool Agent Is a Trap - Sohail Shaikh & Ankush Rastogi, Prosodica
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Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify
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Slides: The agent-ready web: Simplify user actions with WebMCP — Tara Agyemang, Google
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Slides: The Art & Science of Benchmarking Agents — Vincent Chen, Snorkel AI
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Slides: The emerging skillset of wielding coding agents — Beyang Liu, Sourcegraph / Amp
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Slides: The Future Is Domain-Specific Agents - Justin Schroeder, StandardAgents
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Slides: The Log Is The Agent - Ishaan Sehgal, Omnara
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Slides: The Production AI Playbook: Deploying Agents at Enterprise Scale — Sandipan Bhaumik, Databricks
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Slides: The rise of the agentic economy on the shoulders of MCP — Jan Curn, Apify
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Slides: The Small Model Infrastructure Nobody Built (So We Did) — Filip Makraduli, Superlinked
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Slides: The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo
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Slides: The State of MCP observability: Observable.tools — Alex Volkov and Benjamin Eckel, W&B and Dylibso
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Slides: Voice In, Visuals Out: The Agony and the Ecstasy - Allen Pike, Forestwalk Labs
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Slides: WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF
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Slides: Why More Context Makes Your Agent Dumber and What to Do About It — Nupur Sharma, Qodo
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Slides: Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
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Slides: You Can't Prompt the Room: The Last Skill AI Won't Replace - Balázs Horváth, VisualLabs
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Slides: You Might Not Need 50 Diffusion Steps — Ziv Ilan, Nvidia
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Slides: Your Agent Failed in Prod. Good Luck Reproducing It. - Tisha Chawla & Susheem Koul, Microsoft
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Slides: Your Agent Is Wasting Tokens and You Don't Know It - Erik Hanchett, AWS
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Slides: Your Agent's Biggest Lie: \"I Searched the Web\" — Rafael Levi, Bright Data
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Slides: Your AI Product Will Fail Unless You Can Explain It - Veronica Hylak, Hey AI
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Slides: Your Attention Is the Bottleneck, Not Your Agents — Zack Proser, WorkOS
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Slides: Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect
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Slides: Your realtime AI is ngmi — Sean DuBois (OpenAI), Kwindla Kramer (Daily)
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