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[Hands-on Workshop] Building Declarative AI Agents Supervised and Hierarchical with Auth
The future of AI agents is declarative, not imperative.
Define what you want in YAML, let the platform handle the complexity.
Hands-on workshop designed for engineers to build declarative AI agents supervised and hierarchical with Auth.
This is your chance to learn a new, more efficient way to build.
We'll show you how to solve the most common agent development challenges.
By the end of this workshop, participants will understand:
The fundamental principle: AI agents are just prompts + tools
How Arcade abstracts complexity (auth, tool calling, MCP hosting)
The Model Context Protocol (MCP) and its role in agent architectures
How to build production-ready agents with zero infrastructure setup
Hierarchical agent patterns for complex workflows
Meet the conductor
Shub Argha, Arcade's Founding Solutions Engineer. In his own words, he gives AI agents hands, tools, and permission to use them.
Who this is for: (Level Intermediate to Advanced)
This workshop is for software engineers who are comfortable with the command line and want to get hands-on with building real-world AI applications.
This is a technical deep dive, not a high-level overview.
Software Engineers who want to level up their skills in AI and LLM application development.
Engineers who are tired of fighting infrastructure and want to learn new, powerful workflows.
Pre-Workshop Requirements:
Basic Python knowledge, understanding of APIs and LLMs
Food, drinks and good vibes will be provided during the workshop.