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Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop)
AI Engineer· 2025-06-19 02:04
Workshop Overview - The workshop focuses on building AI agents using Amazon's agent technologies [1] - Participants will gain hands-on experience in building sophisticated AI agents [1] - The workshop is 2-hour long [1] Technologies Highlighted - Amazon Nova Act is used for reliable web navigation [1] - Model Context Protocol (MCP) connects agents to external data sources and APIs [1] - Amazon Bedrock Agents orchestrates complex workflows [1] Skills Acquired - Participants will learn to build agents that can navigate the web like humans [1] - Participants will learn to perform complex multi-step tasks [1] - Participants will learn to leverage specialized tools through natural language commands [1]
Model Context Protocol: Origins and Requests For Startups — Theodora Chu, MCP PM, Anthropic
AI Engineer· 2025-06-18 22:55
[Music] right. Hello everyone. Who's excited to chat about MCP today.Okay, we can we can work on that. We can get it a little bit better by the end of this talk. Uh but I'm Theo.I am a product manager at Anthropic work on MCP. Uh prior to this was also a startup founder uh working in the AI space. Um couple fun facts about me because everyone says make yourself a little bit more personable.Uh is that I like playing poker mostly losing money at poker, not uh making money at poker. Uh and I also really like c ...
Building Protected MCP Servers — Den Delimarsky and Julia Kasper, Microsoft DevDiv
AI Engineer· 2025-06-18 18:50
Join us to see how VS Code and GitHub Copilot's expanding suite of AI features can match or even surpasses the benefits of other popular AI developer tools. We'll focus on practical scenarios to ensure immediate applicability and work through live demos of Copilot features such as: Code generation using Edits, Planning/problem solving using Chat, Inline terminal command generation, Boilerplate code generation using Agent mode, Improving boilerplate with custom instructions and then refactoring using Agent m ...
The Geopolitics of AI Infrastructure - Dylan Patel, SemiAnalysis
AI Engineer· 2025-06-18 00:55
As AI reshapes the global balance of power, the infrastructure behind it—chips, data centers, power, and supply chains—has become a new arena for geopolitical competition. This talk explores how nations are racing to secure critical AI hardware, control compute capacity, and assert influence over the technologies and talent that define the future. About Dylan Patel Dylan is the founder, CEO, and Chief Analyst for SemiAnalysis, the preeminent authority on all things AI and semiconductors. Through Dylan’s unw ...
Case Study + Deep Dive: Telemedicine Support Agents with LangGraph/MCP - Dan Mason
AI Engineer· 2025-06-17 18:58
Industry Focus: Autonomous Agents in Healthcare - The workshop explores building autonomous agents for managing complex processes like multi-day medical treatments [1] - The system aims to help patients self-administer medication regimens at home [1] - A key challenge is enabling agents to adhere to protocols while handling unexpected patient situations [1] Technology Stack - The solution utilizes a hybrid system of code and prompts, leveraging LLM decision-making to drive a web application, message queue, and database [1] - The stack includes LangGraph/LangSmith, Claude, MCP, Nodejs, React, MongoDB, and Twilio [1] - Treatment blueprints, designed in Google Docs, guide LLM-powered agents [1] Agent Evaluation and Human Support - The system incorporates an agent evaluation system using LLM-as-a-judge to assess interaction complexity [1] - The evaluation system escalates complex interactions to human support when needed [1] Key Learning Objectives - Participants will learn how to build a hybrid system of code and prompts that leverages LLM decisioning [1] - Participants will learn how to design and maintain flexible agentic workflow blueprints [1] - Participants will learn how to create an agent evaluation system [1]
The Web Browser Is All You Need - Paul Klein IV
AI Engineer· 2025-06-17 18:47
With the rise of MCP servers, A2A, and our trusty friend, OpenAPI, it turns out the web browser may be the default MCP server for the rest of the internet. In this talk, we'll walk through how a web browsing tool is probably the only tool you'll need to enable production AI Agents. About Paul Klein IV Paul Klein IV is a San‑Francisco‑based serial entrepreneur and engineer. After honing his chops at Twilio during it's IPO and founding Stream Club—a live‑streaming platform acquired by Mux in 2021 he launched ...
Veo 3 for Developers - Paige Bailey
AI Engineer· 2025-06-17 18:35
Model Overview - Google DeepMind's Veo 3 is a state-of-the-art video generation model [1] - Veo 3 generates video with synchronized audio from text and image prompts [1] - Veo 3 understands intricate details, maintains coherence, and simulates realistic physics and camera movements [1] Capabilities & Features - Veo 3 offers advanced capabilities like semantic context rendering and cinematic control [1] - Veo 3 can generate dialogue, sound effects, and music [1] Accessibility & Integration - Veo 3 is accessible via Vertex AI (preview) [1] - Developers can integrate Veo 3 into their workflows or test it in the Gemini App, Flow, and via the Gemini APIs on Google Cloud [1] Potential Applications - Veo 3 empowers innovation in filmmaking, game development, and education [1]
Good design hasn’t changed with AI - John Pham
AI Engineer· 2025-06-17 04:15
Bad designs are still bad. AI doesn’t make it good. The novelty of AI makes the bad things tolerable, for a short time. Building great designs and experiences with AI have the same first principles pre-AI. When people use software, they want it to feel responsive, safe, accessible and delightful. We’ll go over the big and small details that goes into software that people want to use, not forced to use. About John Pham I'm John Pham, an engineer and a self-taught designer. I seek the dopamine hits of buildin ...
Building AI Products That Actually Work - Ben Hylak, Sid Bendre
AI Engineer· 2025-06-17 03:50
You've made the demo. How do you make the product? A lot of AI products don't actually work. Even worse, a lot of the techniques being advertised for making AI products better don't work either. We'll cover the challenges + techniques we've seen actually work in the real world. About Ben Hylak Ben Hylak is co-founder at Raindrop, building Sentry for AI products. He was previously a designer at Apple for 4 years, building the Apple Vision Pro. About Sid Bendre Sid Bendre is the co-founder of Oleve, a company ...
Model Maxxing: RFT, DPO, SFT with OpenAI — Ilan Bigio, OpenAI
AI Engineer· 2025-06-17 03:49
Full workshop covering all forms of fine-tuning and prompt engineering, like SFT, DPO, RFT, prompt engineering / optimization, and agent scaffolding. About Ilan Bigio Ilan Bigio is a founding member of OpenAI’s Developer Experience team where he explores model capabilities, builds demos and developer tools, and shares his learnings through talks and docs. His work includes creating the AI phone ordering demo showcased at DevDay 2024, leading technical development for Swarm, the precursor to the Agents SDK, ...