Make Your AI Assistants Smarter

Hosted by Jay Wengrow

Thu, Mar 26, 2026

6:00 PM UTC (30 minutes)

Virtual (Zoom)

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Let's Code LLM Chatbots and Agents from Scratch
Jay Wengrow
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What you'll learn

Common LLM hallucination failures and why they happen

It can be hard to notice when AI assistants provide incorrect info. The first step is to know what LLMs aren't good at.

How to equip an agent with tools that research and calculate

With the right tools, an agent can discover accurate data and correct its own misconceptions.

Incorporate agent techniques in your own code and daily use

Agentic tactics can be employed in your own LLM apps and also when you use plain old ChatGPT or Claude.

Why this topic matters

AI assistants can be so smart, but they can also be so dumb. Whether you get a correct answer or a hallucination often depends on whether you're asking the type of question that an LLM is good at processing. Learn how to get an AI bot to become "smarter" by equipping it with tools that compensate for the LLM's internal deficiencies.

You'll learn from

Jay Wengrow

CEO of Actualize, Author of "A Common-Sense Guide to AI Engineering"

Jay Wengrow is an experienced educator and software engineer, and the author of A Common-Sense Guide to AI Engineering. He is also the founder of Actualize, a software and AI engineering education company - and he specializes in making advanced technical topics approachable for professionals across industries. He additionally wrote the popular Common-Sense Guide to Data Structures and Algorithms book series.

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