Markdown source

Agentic Sites: Building Hyper Personalized Websites

Conference Context

Session Description

The era of static, one-size-fits-all websites is over. Users expect personalized experiences that adapt to their preferences, context, and intent in real-time. But building truly personalized websites at scale requires more than just A/B testing or basic recommendation engines—it demands an agentic approach where AI agents autonomously orchestrate content, layout, and interactions. At Adobe, we are pioneering the concept of Agentic Sites—web experiences powered by AI agents that continuously learn from user behavior, analyze context signals, and dynamically compose hyper-personalized pages. These agents go beyond simple personalization rules: they reason about user intent, select optimal content variations, and adapt the experience in real-time while maintaining brand consistency and performance. In this session, we'll show how we leverage LLMs to deliver personalized experiences to our customers.

Media Evidence

No related AI Engineer channel video found yet.

Evidence Graph

This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

Media Signals

No linked video, transcript, or slide source has been attached yet.

Agent Reading Notes

Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

Transcript Status

No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

People

Notes

Synthesis

Synthesized Breakdown

Agentic Sites: Building Hyper Personalized Websites ## Conference Context - Date/time: 2026-06-30 · 3:20pm-3:40pm - Track/room: AI-Native Enterprises · Leadership 1 - Speaker(s): Carlos Sanchez - Session type/status: session · confirmed - Track: AI-Native Enterprises - Room: Leadership 1 - Session type: session - Status: confirmed ## Session Description The era of static, one-size-fits-all websites is over. Users expect personalized experiences that adapt to their preferences, context, and intent in real-time. But building truly personalized websites at scale requires more than just A/B testing or basic recommendation engines—it demands an agentic approach where AI agents autonomously orchestrate content, layout, and interactions. At Adobe, we are pioneering the concept of Agentic Sites—web experiences powered by AI agents that continuously learn from user behavior, analyze context signals, and dynamically compose hyper-personalized pages.

Speaker And Company Context

Topics Covered

Derived Links And Source Material

Novel Concepts / Clever Methods

Evidence Boundary

This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.