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Revolutionizing AI Development: Building Deep Work Agents with Autonomy Mrinal the CTO and Founder of Autonomy, demonstrates the future of AI development through building and deploying deep work agents. Using Autonomy's platform, Mrinal showcases a live demo where a multi-agent research application is created and deployed in just 10 minutes. He delves into the complexity of building autonomous agents, defining them as intelligent actors that autonomously achieve goals using large language models (LLMs). Mrinal illustrates how Autonomy simplifies the process of creating, managing, and scaling these agents efficiently. From running thousands of parallel agents on efficient infrastructure, to integrating streaming APIs and context templates for enhanced performance, Autonomy provides a robust solution for developing sophisticated AI products. Watch as Mrinal builds a live FactCheck app, illustrating the powerful capabilities and flexibility offered by Autonomy.Computer. 00:00 Introduction and Agenda 01:15 Understanding Deep Work Agents 01:57 Building and Managing Agents 05:01 Challenges and Solutions in Agent Development 08:20 Introducing Autonomy 09:38 Autonomy in Action: Demo and Features 10:52 Advanced Features and Use Cases 19:20 Conclusion and Final Thoughts