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Ai Agents and Applications: A Practical Guide to Building Autonomous Tools That Actually Work-logo

Ai Agents and Applications: A Practical Guide to Building Autonomous Tools That Actually Work

Ryan Kessler

Bridge the gap between flashy AI demos and robust software engineering by building autonomous agents that drive results. Whether you are optimizing your morning commute with focused learning or architecting your tech startup during deep work sessions,...

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Opening Credits

1/10/2026
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Chapter 1: From Chatbots to Agents Defining the New Application Pattern

1/10/2026
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Chapter 2: Picking the Right Problems Where Agents Actually Add Value

1/10/2026
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Chapter 3: Architecting Agent Systems Patterns for Single and Multi Agent Designs

1/10/2026
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Chapter 4: Designing Agent Behavior System Prompts, Roles, and Control Logic

1/10/2026
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Chapter 5: Tools, APIs, and the Outside World Teaching Agents to Act

1/10/2026
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Chapter 6: Memory and Knowledge Giving Agents Context and Recall

1/10/2026
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Chapter 7: End to End Case Study Customer Support Agents in Production

1/10/2026
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Chapter 8: End to End Case Study Internal Operations and Workflow Automation

1/10/2026
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Chapter 9: End to End Case Study Coding Assistants for Developers

1/10/2026
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Chapter 10: Operating, Securing, and Evolving Agentic Applications

1/10/2026
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Closing Credits

1/10/2026