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

Building Agentic Applications: A Deep Dive into Zooka, an AI Cardiologist Assistant

Ahmad Adel

Are you building true AI agents or just glorified RAG? Learn to build an autonomous AI cardiologist using the orchestrator-worker pattern, ReAct framework, and long-term memory.

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#1 about 3 min

Defining agentic workflows versus traditional generative AI applications

Distinguishing true agentic autonomy from basic prompting, retrieval-augmented generation, and fixed sequences.

#2 about 3 min

Implementing the orchestrator-worker pattern in agentic workflows

How delegating tasks among specialized agents drives lower costs and higher accuracy in enterprise processes.

#3 about 2 min

Applying the ReAct framework for continuous reasoning and acting

How agents use a continuous loop of thought, action, and observation to automate complex enterprise tasks.

#4 about 3 min

Choosing the right runtime environment for hosting AI agents

Understanding the trade-offs between managed services and custom platforms for agent logging, tracing, and memory management.

#5 about 4 min

Managing working, short-term, and long-term memory in orchestration

How the orchestration layer handles internal monologues, session history, and persistent facts across multiple user turns.

#6 about 2 min

Integrating foundation models and specialized tools for agent actions

Extending the capabilities of multimodal large language models using functional execution tools and natural language database queries.

#7 about 2 min

Standardizing tool integration with the Model Context Protocol

Using an open protocol to create a unified API interface between AI agents and external data systems.

#8 about 3 min

Evaluating frameworks and abstraction levels for building AI agents

Comparing development approaches from low-level LangChain protocols to higher-level frameworks like LangGraph and the Agent Development Kit.

#9 about 5 min

Configuring the Zuka cardiologist assistant using the Agent Development Kit

Examining the Python codebase to define agent profiles, connect tools, and establish a remote server session.

#10 about 6 min

Demonstrating medical diagnostics and long-term memory persistence in Zuka

Interacting with the agent interface to process patient symptoms, search knowledge graphs, and recall medical history across sessions.

Matching moments

40 sec

Empowering automated workflows with agentic AI models

Mike Mike · World Congress 2025

1:09 min

Visualizing the future of proactive multi-tool agent orchestration

Rishabh Budhiraja Rishabh Budhiraja +1 · World Congress 2026 Europe

1:27 min

Moving beyond chat interfaces using intelligent agents

Viktoria Semaan Viktoria Semaan · World Congress 2025

3:56 min

The evolution of AI programming and agentic workflows

Fabian Hedin Fabian Hedin · World Congress 2026 Europe

1:29 min

Utilizing the ADK framework for agent logic

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

1:32 min

Building autonomous functions with conversational agent frameworks

Modood Alvi · World Congress 2025

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