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Agentic Web #01 — Why fetch() Isn't Enough: Reliable Web Access for AI Agents at 625 2nd St

Agentic Web #01 — Why fetch() Isn't Enough: Reliable Web Access for AI Agents

This technical meetup features demos of agent and web-data workflows, a panel on reliable web access for AI agents, and networking with builders working on agents and supporting infrastructure.

AI summary · From the event listing

October 28, 2026 · 5 PM – 8:30 PM

625 2nd St, San Francisco · Free ·

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See demos of agent and web-data workflows, then hear builders discuss the engineering behind reliable web access for AI agents.

AI · From the event listing

Organizer’s description

Getting a page once is a small part of giving an AI agent dependable access to the web. Dynamic content, changing page structure, browser state, retries, and growing traffic all shape whether an agent can consistently get the context it needs. Join HackerSquad and Bright Data for the first Agentic Web meetup, a technical evening on web access, browser infrastructure, and agent reliability. We'll begin with a few demos of agent and web-data workflows, then move into a panel discussion about the engineering behind reliable access at scale. Stay for networking with the builders working on agents, frameworks, and the web infrastructure that supports them. What we'll explore Where a simple fetch works, where a browser or scraping API is useful, and how to choose the right access method. Turning live web content into structured, usable context while handling failures and changing pages. Scaling access across many tasks: orchestration, observability, latency, and cost. Who this is for Engineers and founders building AI agents, agent frameworks, coding tools, web-data products, and browser infrastructure. Bring the web-access problem you are working on and the tradeoffs your team is considering. Schedule All times are Pacific Time (America/Los_Angeles). 5:00 PM — Doors Open: Check in, meet fellow builders, and settle in. 5:45 PM — Programming Begins: A few short demos, with builders showing their work and sharing the data and engineering decisions behind it.

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Hosted by Adam Chan

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