Evolution of agentic surfaces
Conference Context
- Date/time: 2026-06-29 · 4:30pm-5:30pm
- Track/room: Workshops Day 1 · Track 9
- Speaker(s): Gagan Bhat, Isabella Kai He
- Session type/status: workshop · confirmed
- Track: Workshops Day 1
- Room: Track 9
- Session type: workshop
- Status: confirmed
Session Description
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.
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
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Synthesis
Synthesized Breakdown
Evolution of agentic surfaces ## Conference Context - Date/time: 2026-06-29 · 4:30pm-5:30pm - Track/room: Workshops Day 1 · Track 9 - Speaker(s): Gagan Bhat, Isabella Kai He - Session type/status: workshop · confirmed - Track: Workshops Day 1 - Room: Track 9 - Session type: workshop - Status: confirmed ## Session Description 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. ## 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
- Gagan Bhat — Member of Technical Staff at Anthropic.
- Isabella Kai He — Member of Technical Staff at Anthropic.
Topics Covered
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.