🔍 Master OpenAI’s new reasoning model [Workshop]

Hey there.

Less than two months after releasing o3, OpenAI have already made o3-pro available.

And, as their most advanced reasoning model to date (with some extremely impressive benchmarks), it’s understandably captured the imagination of early adopters. 

Professionals are redesigning workflows, adding more context to old prompts, and being more ambitious with the challenges they take on…

But inside The Rundown AI University, we're seeing professionals struggle with a deceptively complex decision. And it's costing them time and money.

Here’s what you need to know to continue to get the most out of ChatGPT:

Why choosing the right model is harder than it looks

The difference between o3 and o3-pro is more than just performance. 

o3-pro costs 10x more and runs significantly slower, making every choice a strategic trade-off between speed, cost, and reliability.

Making the wrong choice compounds quickly.

When choosing the right model, it’s important to consider:

• Speed vs. reliability - Do you need rapid iteration cycles or definitive answers on the first try?

• Human oversight availability - Do you want to review and refine outputs, or should the AI work autonomously?

• Problem type - Are you exploring possibilities or executing known procedures?

• Workflow stage - Is this early brainstorming or final implementation?

• Team dynamics - Do you have experts who can catch errors, or are you working independently?

• Risk appetite - Can your process absorb occasional mistakes, or is consistency non-negotiable?

• Output audience - Will humans review this internally, or does it go directly to clients/stakeholders?

• Task frequency - Is this a daily workflow or an urgent one-time analysis?

• Learning curve - Are you experimenting with new approaches or applying proven methods?

Consultants would be better off using one model for initial market research or brainstorming client recommendations but another when preparing final strategic reports for C-suite executives. 

Financial advisors face similar trade-offs when exploring investment scenarios versus creating compliance-critical portfolio analysis. 

Healthcare administrators need different approaches for operational planning compared to synthesizing treatment protocols from research papers.

And your industry is no different.

The professionals who understand these nuances will make strategic model choices that save both time and budget. 

Without guidance on which tasks require which models, you’re very likely to either overspend on unnecessary precision or underdeliver on critical accuracy.

How autonomous workflows can solve complete problems

Both o3 and o3-pro can orchestrate sophisticated and automated workflows. They intelligently decide which tools to use, in what order, then cycle through them until reaching a complete solution. In fact, o3-pro can strategically chain up to 600 tools together to return the most useful result.

These models can automatically coordinate:

• Web search and monitoring - to understand competitors, market changes, or industry developments

• Data analysis and Python execution - to process spreadsheets, run calculations, or generate insights

• File processing and document analysis - to read PDFs, extract information, and cross-reference sources

• Visual reasoning and image analysis - to interpret charts, diagrams, or visual data

• Memory and personalization - to remember preferences and context across conversations

This breakthrough helps you move from single questions to automated solutions by allowing either model to autonomously make decisions about tool usage.

Instead of treating this like a ChatGPT upgrade and hoping it will work with your existing prompts, professionals using these new models properly are constructing sophisticated, reliable workflows that operate independently.

There’s no doubt this is a significant step forward, especially for tasks that need layered, complex “thinking”. But being able to select either model in your dropdown doesn’t automatically unlock those capabilities.

It helps to know exactly what you’re doing…

This Friday at 4 PM ET, Dr. Alvaro Cintas is leading a workshop to show you:

• The key differences between o3 and o3-pro, and what Pro users can expect

• How effective prompting techniques can dramatically improve output quality

• How to use these models in your own creative, technical, or productivity projects

By the end of the workshop, you'll know how to get significantly more value from whichever model you use, whether it's o3 or o3-pro.

The early adopters in this workshop will spend the next few months scaling reasoning workflows that other models simply can’t match.

Join the professionals redefining what's possible with AI (with a personalized path through our expert-led resources) by staring a 14-day trial to The Rundown AI University.

Stay curious,

The Rundown Team

P.S. We recently upgraded The Rundown AI University platform to include personalized learning paths, industry-specific courses, team progress dashboards, and so much more. For the rest of the week, to celebrate our relaunch, we’re inviting you to join for 20% off your first year.