Aug 29, 2026

Agentic Sites: Building Hyper Personalized Websites — Carlos Sanchez, Adobe

Carlos Sanchez from Adobe presents "Agility Sites," a novel approach to building hyper-personalized websites in real-time. By dynamically generating specific content blocks and grounding responses in the site's corpus, these sites achieve an "audience of one" experience. Key innovations include rapid LLM inference (1.1s average latency with Cerebras), continuous model evaluation for speed and accuracy, and leveraging user intent to deliver tailored content, as demonstrated by an on-the-fly camping coffee machine page and an AI conference comparison site.

Aug 05, 2026

Gadgets: Personal app vibe coding that is actually safe — Kenton Varda, Cloudflare

Kenton Varda introduces "Gadgets," a new architecture built on Cloudflare Workers, addressing the challenge of user-driven AI customization in a world where traditional cloud infrastructure restricts personalization. He demonstrates how AI agents can add features directly to applications, while a unique security model, leveraging `null origin iframes` and isolated server-side sandboxes, renders XSS vulnerabilities irrelevant. The entire system operates without containers or traditional databases, running efficiently on the `workerd` runtime.

Jul 19, 2026

Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO)

Elizabeth Stone, Netflix CPTO, discusses how AI is transforming product development and company culture. She highlights the increasing importance of "systems thinking," managing the influx of AI-generated output with clear guardrails, fostering "AI fluency" across all roles, and maintaining Netflix's unique "excellence as an operating system" through high talent density and a comfort with risk-taking. The conversation also explores AI's impact on content creation, the future of entertainment, and talent management.

May 19, 2026

Personalization in the Era of LLMs - Shivam Verma, Spotify

Spotify is personalizing open-weight LLMs without full fine-tuning by combining three key components: foundational user embeddings from streaming history, 'Semantic IDs' that tokenize its 100M+ item catalog, and a 'soft tokenization' layer that projects a user's embedding directly into the LLM's context. This allows the model to autoregressively generate the next song or podcast as the next token in a sequence.

Mar 09, 2026

OpenClaw's Memory Sucks and the fix is simple — Dhravya Shah, Supermemory

Dhravya Shah, founder of Super Memory, details the evolution of his company from a simple RAG-based consumer app to a sophisticated, open-source context infrastructure for AI, and introduces a novel hooks-based memory solution for OpenClaw.

Feb 25, 2026

Multi-Agent Personalization with Shared Memory: From Email to Website to Proposal // Hamed Taheri

This talk explores the challenges of using multi-agent systems for mass personalization, highlighting the inconsistencies and inaccuracies that arise from traditional methods like RAG and function calling. The speaker introduces Cortex UCM, a unified customer memory system that proactively infers and standardizes customer insights. This shared, structured memory layer enables agents to achieve a deep, consistent understanding of customers, leading to high-quality, scalable generative personalization for emails, websites, and product pages.