Evolution of agentic surfaces
Gagan Bhat, Isabella Kai He
- When
- Monday, June 294:30 PM – 5:30 PM · 60 min
- Where
- Track 9San Francisco, CA · imported from ai.engineer's public schedule feed
About this session
Getting an agent into production takes more than a good prompt: it needs somewhere to run code, credentials it can't leak, sessions that survive interruption, and infrastructure that scales. This talk traces how Anthropic's agentic surfaces evolved from the raw API to Claude Managed Agents, and what our Applied AI team has learned about harness design along the way.
Speakers (2)
Member of Technical Staff, Anthropic
Gagan is a Product Engineer on Anthropic's Applied AI team. He focuses on prototyping consumer AI features, evaluating model output in vertical domains, and partnering with industry leaders to productize use-cases. Prior to Anthropic, he was an engineer at NVIDIA and Netflix.
Member of Technical Staff, Anthropic
Member of Technical Staff on the Applied AI team at Anthropic, building at the intersection of product, research, and our customers. Previously studied at Stanford and worked at D.E. Shaw and SGNL.ai.
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- AI Security Engineer Foundations + CertificateMonday, June 29 · 9:00 AM – 11:00 AM · Track 5
- Total Recall: Agent Memory and Harness EngineeringMonday, June 29 · 9:00 AM – 11:00 AM · Track 6
- Open-Source Inference Engineering for the Agentic EraMonday, June 29 · 9:00 AM – 11:00 AM · Track 8
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.