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Inference for Async Agents in Production | Doubleword

AI Council
2026/6/2224:07226 回視聴YouTube で見る

[2026 - Day 1 - AGENT INFRASTRUCTURE] As models improve, we are starting to build long-running, asynchronous agents such as deep research agents and browser agents that can execute multi-step workflows autonomously. These systems unlock new use cases, but they use orders of magnitude more tokens and compute, creating scaling bottlenecks. This talk discusses practical strategies builders can use to maximize async agent performance while keeping inference costs under control. Topics covered include context engineering, compaction, cache maintenance, model routing, and batch inference. This talk is aimed at use case developers, with secondary relevance to platform engineers. SPEAKER: Meryem Arik - Co-founder & CEO, Doubleword 👉 Sign up for our "No BS" Newsletter to get the latest technical data & AI content: https://aicouncil.com/newsletter ABOUT AI COUNCIL: AI Council brings together the brightest minds in data to share industry knowledge, technical architectures and best practices in building cutting edge data & AI systems and tools. FIND US: Website: https://aicouncil.com/ LinkedIn: https://www.linkedin.com/company/aicouncilconf/ X: https://x.com/aicouncilconf

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