🔍 OpenAI Deep Research + no-cost alternatives (Workshop)

Hey there.

In last week's workshop, we showed University members how to automate tasks with OpenAI's new Operator.

And, since then, OpenAI has released another update—Deep Research—that performed nearly 3x better than competitor models on a 3000-question test that was designed by leading experts.

Their CEO, Sam Altman, even claimed that it will "be able to handle a single-digit percentage of all economically-viable tasks in the world."

With the potential to replace up to 270 million jobs, this autonomous assistant is further proof of how important it is to stay on the cutting edge of AI... or risk being left behind.

Here’s everything you need to know (and how to build your own version):

What this means for your daily work

Right now, many professionals spend countless hours combing through reports, piecing together insights, and hoping nothing important slips through the cracks.

Others are forced to spend half of their time searching for answers before they’re able to take any action.

But with Deep Research you can rapidly analyze hundreds of documents, websites, reports, questions, and data sources, simultaneously, to extract well-sourced patterns and connections that would usually take days to find manually.

For you, this means:

• Preparing client deliverables in 15 minutes instead of 2 hours

• Creating comprehensive market analyses that would take days to do manually

• Turning complex data into clear visualizations automatically

• Getting answers that connect information from multiple sources

• Building reports that actually cite their sources properly

• Going from an idea to a step-by-step, data-backed strategy

• Creating detailed client proposals in a fraction of the time

• Turning customer feedback into actionable reports instantly

• Understanding the implications of business reports in minutes, not days

• Connecting findings from hundreds of papers while you grab a coffee

Whatever your profession, it’s the quickest way to go from information overload to organized insights.

Why building your own version might make sense

Fortunately, you don't need a $200/month ChatGPT Pro subscription to access this powerful breakthrough. Experts in the open-source community have already created alternatives that offer unique advantages.

With the right know-how, you can:

• Pay pennies per query instead of hundreds per month

• Keep sensitive company data private

• Run unlimited analyses without usage restrictions

• Customize your output to your specific industry needs

While Deep Research reigns supreme right now, open-source versions already match 54% of OpenAI's performance – more than enough to completely transform how you work.

But whether you’re keen to understand how to get the most from your ChatGPT subscription, or you’re interested in understanding how to create your own version for free, this week’s workshop has got you covered…

Join Dr. Alvaro Cintas on Friday at 4 PM EST to learn:

• How to use OpenAI's Deep Research and understand its top use cases

• The open-source solutions from the community that you can start using today

• How you can build your own deep research alternative (and avoid a $200 monthly bill)

By the end of the workshop, you'll have the knowledge to leverage deep research tools—through OpenAI or subscription-free alternatives—to generate ‘economically-viable’ results with AI.

Learn exactly how to save hours of time each day—and unlock 260+ courses, guides, and workshops—with a 14-day trial to The Rundown AI University.

See you in class,

Rowan & The Rundown Team

P.S. Early adopters inside The University use innovations like Deep Research to make themselves irreplaceable at work, and even power their side hustles, while others stay stuck in repetitive tasks. Don't wait until these tools become industry standard. Stay ahead of the curve with a free 14-day trial here.