Build AI Agents You Can Trust E05

Live Sessions
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:glowing_star: Building one working agent is great. Building agents you can reuse everywhere is better.

Build AI Agents You Can Trust
Build AI Agents You Can Trust1920×1080 223 KB

In this session, @John_Rippy will show you how to move beyond one-off experiments and start creating scalable, reusable agent patterns you can apply across workflows.

John is CTO of Local Howl, Drive Social Media & Krafzen AI. Having been CTO for over 11 years, he has heavy experience in MarTech, SaaS applications and AI solutions. He has led many engineering, tech, development and analyst teams, and built integration as a service team.

You’ll learn:

:backhand_index_pointing_right: The 5 core agent patterns:

  • Conversational
  • Qualifier
  • Router
  • Synthesizer
  • Orchestrator (intro level)

:backhand_index_pointing_right: When to start from the Agent Library vs a blank canvas:

  • How to simplify advanced templates
  • How to make agents reusable across multiple workflows
  • How to balance the three key knobs:
  • Reliability
  • Speed
  • Cost

Live demo: Refactor an existing agent into a reusable component—then clone it into a second workflow to see how patterns scale in practice.

:student: Walk away knowing how to turn agents into durable building blocks—not just impressive demos.

:date: Join the session

:backhand_index_pointing_right: CLICK HERE TO REGISTER

Free registration • Live build • Q&A session

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Is this going to be recorded?

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This session on building reusable AI agents with John Rippy offers valuable insights for anyone looking to scale AI solutions. The focus on core agent patterns like Conversational, Qualifier, Router, Synthesizer, and Orchestrator is key for creating versatile agents that can be applied across multiple workflows. Learning when to use an Agent Library versus starting from scratch will help simplify complex templates and enhance scalability. The live demo, where John refactors an agent into a reusable component, is especially practical for understanding how to balance reliability, speed, and cost while developing durable AI building blocks.

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Yes, all sessions are recorded. Everyone who has registered to watch this session will receive an email with the recording of the session after the session ends :slight_smile: