---
title: "Building AI Agents with Real-Time Web Data"
category: "talks"
date: "2026-06-29"
time: "12:10pm-1:10pm"
track: "Track 8"
room: "Track 8"
speakers: ["Yohan Raju"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Track 8"
scheduleRoom: "Track 8"
scheduleLabels: ["Track 8", "Track 8", "workshop", "confirmed"]
---
# Building AI Agents with Real-Time Web Data

## Conference Context
- Date/time: 2026-06-29 · 12:10pm-1:10pm
- Track/room: Track 8 · Track 8
- Speaker(s): Yohan Raju
- Session type/status: workshop · confirmed

- Track: Track 8
- Room: Track 8
- Session type: workshop
- Status: confirmed

## Session Description
Your AI agent is only as good as the data it can access — and static training data isn't enough anymore. In this hands-on workshop, you'll learn how to connect AI agents to the live web using Bright Data's MCP (Model Context Protocol) server and scraping APIs, turning any LLM into a real-time web-aware system.

## 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
- [[yohan-raju]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# Building AI Agents with Real-Time Web Data ## Conference Context - Date/time: 2026-06-29 · 12:10pm-1:10pm - Track/room: Track 8 · Track 8 - Speaker(s): Yohan Raju - Session type/status: workshop · confirmed - Track: Track 8 - Room: Track 8 - Session type: workshop - Status: confirmed ## Session Description Your AI agent is only as good as the data it can access — and static training data isn't enough anymore. In this hands-on workshop, you'll learn how to connect AI agents to the live web using Bright Data's MCP (Model Context Protocol) server and scraping APIs, turning any LLM into a real-time web-aware system. ## 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.

### Speaker And Company Context
- [[yohan-raju|Yohan Raju]] — Pre-Sales Expert at [[bright-data|Bright Data]].

### Topics Covered
- [[mcp]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### 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.