How to Build ChatGPT - Part 5: Thinking & Deep Research
Welcome to the How to Build ChatGPT series, where you’ll step-by-step everything you need to build your very own ChatGPT application.
We are currently on Part V of the series, where we will focus on the process for adding features, including both Thinking (Reasoning) models, as well as the ability for our application to do Deep Research.
Check out previous sessions to get up to date!
Adding Features I: Reasoning & Deep Research
Adding Features II: Voice Mode & Image Generation
Agent Mode
Each of these components is required to build our very own ChatGPT application.
⚠️ There will be a few features that we will not cover, including: Canvas and Study Mode.
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Nearly three years ago, ChatGPT was released to the world - it was the fastest-growing app the world had ever seen. At the time, it was just an LLM with a front end.
Now, it’s so much more.
Meanwhile, nearly three years later in 2025, GPT-5 was recently released on the heels of gpt-oss, the first open-weight model release since GPT-2 in 2019.
We intend to follow the journey that the OpenAI product team has taken.
For aspiring AI Engineers, we believe that taking this approach to learning might be one of the best ways to learn to build 🏗️, ship 🚢, and share 🚀 customized production LLM applications for many use cases.
🛣️ Join us for the entire journey!
🤓 Who should attend
Anyone interested in building, shipping, and sharing their own ChatGPT-like production LLM application!
AI Engineers who aim to architect production LLM applications according to emerging industry best practices
AI Engineering leaders who want to build one or more ChatGPT-like production LLM applications for their organization
Speaker Bios
Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. Since 2021, he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Columbus, Ohio.
Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.
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