World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

From minutes to seconds: Lessons learned optimizing multi-turn agentic workflows

AI workflow latency doesn't have to bottleneck your scaling. Discover architectural tweaks, from token masking to deterministic fallbacks, that slash processing time from minutes to seconds.

Starting at 5:45 · Watch from the beginning

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Matching moments

5:58 min

Architecting inference layers and meta harnesses to manage token costs

Hari Lingamagunta

Hari Lingamagunta +3 · World Congress 2026 North America

4:26 min

Optimizing AI infrastructure costs by maximizing token caching

Liran Hason

Liran Hason · World Congress 2026 Europe

1:08 min

Rebuilding complex agent architectures to optimize token utilization

April Yoho

April Yoho · World Congress 2026 Europe

3:46 min

Advantages of multi-agent architectures over single models

Mitesh Patel

Mitesh Patel +3 · World Congress 2026 North America

2:01 min

Transitioning toward AI-first coding and managing token costs

Clemens Wasner

Clemens Wasner +4 · World Congress 2026 Europe

3:21 min

Optimizing AI token consumption and running local language models

Chris Heilmann

Chris Heilmann +2 · LIVE

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