May 2026
4 Mon
5 Tue
6 Wed
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9 Sat 03:00 PM – 05:00 PM IST
10 Sun
Manas Chaturvedi
@manaschaturvedi
Submitted Apr 29, 2026
AI agents are powerful—but scaling them into reliable production systems is far from straightforward.
Most multi-agent implementations struggle with unpredictable behavior, rising costs, and brittle workflows once they move beyond demos. In this talk, we’ll explore how to design scalable, orchestrated multi-agent systems that prioritize control, reliability, and efficiency.
We’ll break down the architecture into key layers—from orchestration and role-based agent design to distributed execution and tool integration—and discuss how these pieces come together to handle complex, long-running workflows.
This session focuses on practical architecture patterns and real-world lessons—not frameworks or demos—helping you move from experimental agent setups to production-ready systems that actually scale.
Key Takeaways:
Who should attend:
This session is especially valuable for AI/ML engineers, solution architects, backend developers, and engineering leaders building or scaling multi-agent, workflow-driven, or LLM-powered applications. Product managers and technical leaders evaluating generative AI for complex automations will also benefit.
Speaker’s bio:
Manas Chaturvedi is an Architect in IDfy and has about 10+ years of experience in building distributed systems, AI-powered workflows and internal developer tools in various startups and product-based companies.
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