Lessons from building verticalized AI agents

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Practical skills & tools to accelerate your career

Lessons from building verticalized AI agents

Hosted by Jason Liu and Chris Lovejoy

Wed, Aug 13, 2025

5:00 PM UTC (1 hour)

Virtual (Zoom)

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Systematically Improving RAG Applications

Jason Liu

View syllabus

Wed, Aug 13, 2025

5:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

Systematically Improving RAG Applications

Jason Liu

View syllabus

What you'll learn

Bridge Data and AI with Failure Mode Taxonomy

Use domain expert feedback to systematically identify and fix AI failures in vertical applications.

Choose Prompting vs Finetuning for Domain AI

Build expert-driven knowledge bases and UIs that enable non-technical users to improve model performance.

Design Secure Vertical AI Architecture

Create systems handling sensitive industry data while enabling expert loops and knowledge generation.

Why this topic matters

Vertical AI represents a multi-trillion-dollar opportunity where the next software giants will emerge. Generic LLMs aren't enough, you need domain expertise integration. This lesson teaches you to build differentiated AI systems that solve real industry problems, positioning you to lead the next wave of AI innovation and capture massive market opportunities.

You'll learn from

Jason Liu

Consultant at the intersection of Information Retrieval and AI

Jason has built search and recommendation systems for the past 6 years. He has consulted and advised a dozens startups in the last year to improve their RAG systems. He is the creator of the Instructor Python library.

Chris Lovejoy

Head of Clinical AI at Anterior

Chris is a machine learning engineer and former medical doctor with 7 years experience building AI-powered products in specialised industries like healthcare. He built out the AI function at Cera Care, a tech-enabled home care company that recently hit $500m ARR, and now works at Anterior, a Sequoia-backed start-up building clinical reasoning tools for health administration.

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