Philipp Schmid
Beyond Chatbots: How to build Agentic AI systems
#1about 4 minutes
Tracing the evolution from language models to AI agents
The history of AI agents is traced from simple text completion models to complex, multi-step reasoning systems using frameworks like ReAct.
#2about 2 minutes
Defining the core components of an AI agent
An AI agent is a system where an LLM decides the application's control flow using reasoning, memory, and tools.
#3about 4 minutes
Exploring common design patterns for building AI agents
Several composable patterns like reflection, tool use, planning, and multi-agent collaboration provide structured approaches for building agentic systems.
#4about 1 minute
Why design patterns are crucial for scalable agents
Agentic design patterns are essential building blocks that provide structure, enable composition, and improve the testability of complex AI applications.
#5about 4 minutes
Evaluating agent reliability over model capability
Agent evaluation shifts focus from single-attempt model capability to multi-attempt reliability, requiring custom benchmarks to measure real-world task success.
#6about 3 minutes
Moving from prompt engineering to context engineering
Context engineering expands on prompt engineering by systematically providing the right information, tools, and memory to the LLM at the right time.
#7about 4 minutes
Building agents with Google Gemini and open source tools
You can build agents using Google Gemini through AI Studio, the native SDK, or integrations with open-source libraries like LangChain and CrewAI.
#8about 2 minutes
Predictions on the future impact of AI agents
Future agentic systems are predicted to enable zero-cost software creation, personalized multimodal interfaces, and accelerated adoption in robotics.
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Matching moments
00:06 MIN
The evolution from chatbots to autonomous AI agents
On a Secret Mission: Developing AI Agents
02:48 MIN
Tracing the evolution from LLMs to agentic AI
Exploring LLMs across clouds
02:10 MIN
Understanding the shift to the agentic era
Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents
12:29 MIN
Defining agentic AI and its role as a colleague
Management in times of Agentic AI - The Human Premium
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The conceptual shift in modern AI development
On a Secret Mission: Developing AI Agents
05:55 MIN
Understanding AI agents as collaborative assistants
Designing the Future of Human<>Agent Collaboration
31:28 MIN
Designing cooperative and controllable AI agents for developers
Innovating Developer Tools with AI: Insights from GitHub Next
22:52 MIN
The future of AI protocols and agent ecosystems
From A2A to MCP: How AI’s “Brains” are Connecting to “Arms and Legs”
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