Session

Embedding AI Copilots into Web Apps

In a galaxy not so far away, every user deserves a trusty sidekick like R2-D2—a copilot that truly understands their needs. What if our web apps could offer the same seamless interaction? In this presentation, we'll explore how to embed AI copilots into React apps to read contextual data, such as user inputs, form elements, and navigation patterns. These copilots can make your app smarter by anticipating user needs and responding to context in real-time, significantly enhancing engagement and responsiveness. We’ll also dive into how large language models (LLMs) predict user intent and personalize interactions, creating intuitive, immersive experiences. You'll leave with actionable insights to elevate your app’s UX. May the AI be with you!

What you will learn:

- Embed a contextual chat feature: Engage users by answering queries and performing tasks based on conversational inputs.
- Enable action-driven assistance: Allow the copilot to autonomously perform tasks, boosting interactivity and efficiency.
- Offer dynamic content recommendations: Suggest personalized content, tailoring the user experience to individual needs.

Ron Dagdag

Engineering Manager at 7-Eleven and Microsoft AI MVP

Fort Worth, Texas, United States

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