This Week in Menlo Park Tech Events

<p>Agenda:<br>Doors open: 5pm<br>Training start: 5:45<br>Doors Close 6pm<br><br>This is an evening hands on training open to all. Dinner provided. Please bring your laptops! Training will be about 2 hours.<br><br>Join us for a hands-on Langfuse workshop where we'll show you how to observe, debug, and improve your AI applications, step by step, using a real sample app. Bring your questions and discover how Langfuse can level up your specific use cases!</p><p><strong>Prerequisites:</strong></p><ul><li>Attendees will need a langfuse cloud account (free tier available, no credit card required) or have Langfuse running locally via docker compose.<br>        <a href="https://langfuse.com/self-hosting/deployment/docker-compose?utm_source=luma" target="_blank" rel="noopener noreferrer">Step-by-step-guide to deploy and run Langfuse locally or on a VM using Docker</a></li><li>You will also need an LLM API key (e.g. OpenAI).</li></ul>

<h1>Personal Agents, MCP &amp; the Next Wave of AI</h1><p>Join <strong>Snowflake, ODSC AI and SpaceXAI at SVAI</strong> for an evening focused on one of the biggest AI shifts happening right now: <strong>personal agents</strong>.</p><p>The race is on to build agents that do more than complete tasks. The next generation of agents remembers preferences, learns from behavior, works across tools and data sources, and can act on a user’s behalf.</p><p>At the center of that shift is <strong>MCP - the Model Context Protocol</strong>.</p><p>On <strong>October 19</strong>, during the same week as AGNTCON, MCPCON, and the PyTorch Conference, we’re bringing together builders and practitioners for an evening of technical talks, demos, and conversation around what it actually takes to build personal agents in production.</p><h2>WHAT WE’LL COVER</h2><p>Expect practical conversations around:</p><ul><li>Persistent memory and user-adaptive behavior</li><li>Secure agent actions and purchases</li><li>MCP integrations in production</li><li>Personalization, fine-tuning, RLHF, and on-device inference</li><li>Connecting training-time knowledge with real-time context</li></ul><h2>WHO SHOULD JOIN?</h2><p>This event is for people building or working with:</p><ul><li>AI agents and agent infrastructure</li><li>MCP servers and integrations</li><li>Personalized AI systems</li><li>Model training and fine-tuning</li><li>AI platforms, data infrastructure, and production AI</li></ul><p>Whether you’re building the infrastructure behind agents or shipping user-facing experiences, this is a chance to meet others working on the same problems.</p><h2>WHY ATTEND?</h2><p><strong>See where personal agents are going</strong><br>Learn how teams are moving from generic assistants to agents that remember, adapt, and act.</p><p><strong>Go deeper on MCP</strong><br>Hear what’s working in production, what’s breaking, and what teams are learning as MCP adoption grows.</p><p><strong>Connect models to real-world agent behavior</strong><br>Explore how fine-tuning, RLHF, and inference translate into more personalized agent experiences.</p><p><strong>Meet other builders</strong><br>Connect with 100+ AI practitioners, agent developers, and data leaders across the AGNTCON, MCPCON, and PyTorch ecosystem.</p><h2>AGENDA</h2><p><strong>5:30 PM – 6:00 PM</strong> — Networking &amp; Check-in<br><strong>6:00 PM – 6:10 PM</strong> — Opening Remarks by Snowflake<br><strong>6:10 PM – 6:30 PM</strong> — Personal Work Agents (Snowflake)<br><strong>6:30 PM – 6:50 PM</strong> — Grok Bot (SpaceXAI)<br><strong>6:50 PM – 7:10 PM</strong> — Talk 3<br><strong>7:10 PM – 7:30 PM</strong> — Talk 4<br><strong>7:30 PM – 8:00 PM</strong> — Networking &amp; Wrap-up</p><h2>Meet the Speakers</h2><p>Four speakers, one evening of practical talks and demos on personal agents and MCP. Here’s the first addition to our lineup:</p><p><strong>Effie Goenawan</strong><br><em>Principal Product Manager, Snowflake CoWork &amp; AI</em></p><p>Effie works on Snowflake’s personal work agent, bringing a product perspective to how agents connect data, tools, and everyday work—a natural fit for our conversation about agents that know you.</p><p><strong>Mark Boos</strong><br><em>Field Engineering Leadership, SpaceXAI</em></p><p>Mark is building field engineering at SpaceXAI, the makers of Grok Bot. Grok Bot is your team of always-on agents with their own compute, and connected to your tools and apps.</p><p><strong>More speakers to be announced soon.</strong></p><h2>WHEN</h2><p><strong>October 19, 2026</strong></p><p>Space is limited, so register early to save your spot.</p><p>Come for the technical deep dive, stay for the conversations with people building what’s next.</p>

Get up-to-date information at: https://luma.com/k6qlui66 Address: Silicon Valley AI Hub Menlo Park, CA United States Hosted by ODSC AI & 4 others