World Congress 2025 Aug 20, 2025 Session details

Beyond Chatbots: How to build Agentic AI systems

Philipp Schmid

Stop building passive chatbots and start engineering autonomous AI. Learn to design self-correcting, multi-agent architectures that reason, plan, and execute complex workflows.

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#1 about 5 min

Evolution of AI models into autonomous agents

The shift from language model text completion to instruction following and dynamic reasoning loops.

#2 about 3 min

Defining agents versus traditional programmatic workflows

How agents leverage language models to dynamically decide application control flows instead of following predefined sequences.

#3 about 6 min

Architectural patterns for composing dynamic AI agents

Combining design structures like reflection, tool use, planning orchestration, and multi-agent personas for complex tasks.

#4 about 4 min

Evaluating agent reliability and execution success rates

Shifting evaluation frameworks to measure execution cost, pass rate reliability, and safeguard against infinite execution loops.

#5 about 3 min

Context engineering for dynamic model reasoning

Structuring system instructions, user preferences, and tools dynamically to optimize an agent's reasoning conditions.

#6 about 5 min

Building practical AI agents using Google Gemini

Practical implementations using Gemini APIs, native SDKs, and open-source frameworks like LangChain and CrewAI.

#7 about 2 min

Future predictions for autonomous agent environments and robotics

How optimized hardware, critical data engineering, and reasoning models will accelerate personalized software and robotics access.

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The evolution of AI programming and agentic workflows

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The evolution of artificial intelligence into the agentic era

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Locating AI agents within the broader machine learning landscape

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Architectural patterns for developing robust generative AI applications

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Building autonomous functions with conversational agent frameworks

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2:38 min

The evolution toward agentic and literate software programming

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