😎 Deep Research Is More Than the New Cool Tool
Forget spending weeks on market research, competitive analysis, or due diligence, these tools can do it in minutes. But how do they work, and which ones are leading the way?
Key Facts
- 🚀 Speed Boost: Research that once took 40–80 hours can now be completed in just 5–30 minutes.
- 💰 Cost Efficiency: Open-source alternatives cost as little as $0.30 per report, while premium tools like OpenAI’s Deep Research run $200/month.
- 📊 Scalability: Platforms like Perplexity Deep Research analyze 49+ sources per query, enabling us to go way faster
AI-driven Deep Research tools are changing the way agencies, researchers, students, and all of us handle data-heavy tasks.
Deep Research AI is not just another chatbot.
These tools go beyond simple Q&A by using multi-agent reasoning, autonomous web browsing, and structured synthesis to generate in-depth reports.
Lot’s of fancy words there, I know.
But, imagine this:
✅ A market research report that would normally take a consultant a week, done in under 30 minutes.
✅ Investment analysis with financial modeling and regulatory insights, ready by the time you grab a coffee.
✅ Competitive intelligence that tracks industry trends in real time, giving you an edge before your competitors even notice.
So, which tools are making waves?
🔹 OpenAI Deep Research – Best for in-depth, citation-heavy reports but comes at a premium price.
🔹 DeepSeek R1 – Lightning-fast and cost-effective, great for data science consulting and content localization.
🔹 Perplexity Deep Research – Ideal for real-time market intelligence, pulling insights from 49+ sources per query.
Last week I gave a talk to thousands of Non-profit professionals about how to start leaning-in to AI. It was all about comparing how big Fortune 500 companies are using AI and relating it to the NGO industry.
The chat was ON FIRE sharing how relatable and comprehensive all the examples were, and the feedback I received from so many was absolutely incredible.
Then, for the last example, I got to share with everyone that my deck was inspired by the Deep Research session I made which helped get me as much value as possible in < 30mins
The 🤯 and 🫢 emoji’s made my day.
I wasn’t fooling anyone, I was sharing the new normal.
Ten years ago when I started speaking and teaching, I hired a research assistant off of UpWork.
I remember paying her for a month of research and to compile it all for me so I could give my talks.
The same thing now takes 5-45mins.
💡 The Takeaway:
Deep Research AI can scale your output 10x without increasing headcount or overhead.
Whether you need faster reports, better insights, or more personalized content, these tools are changing the game.
Curious to give them a try? Start here:
🏎️ Formula 1’s AI Fixes Issues in Minutes, Not Weeks
Formula 1 has always been about speed, on and off the track. Now, thanks to AI-powered troubleshooting, the sport is solving critical race-day issues 89% faster, ensuring seamless broadcasts and preventing costly disruptions.
Key Facts
- ⏱️ 99% Faster Fixes: AI has slashed issue detection from 36 hours to just 2 minutes.
💰 $18.7M Saved: Preventing outages has cut major revenue losses across 23 races.
📺 Broadcast Uptime: 99.98%: AI ensures 500M global viewers never miss a moment.
Before AI, a single technical issue could take up to three weeks to diagnose and fix, putting races, broadcasts, and millions in sponsorship revenue at risk.
But now? F1 teams are using AI to detect, diagnose, and resolve problems in real time.
Take the Canadian Grand Prix:
- 🚨 4K video feeds froze during qualifying
- ⚡ AI pinpointed a software conflict in 18 seconds
- 🛠️ Solution deployed in 11 minutes (vs. 3-day manual fix in 2023)
- 📊 8.2M viewers retained instead of a projected 40% dropout
Or the Spanish Grand Prix:
- 🚨 Lap times were showing incorrect race standings
- ⚡ AI analyzed 12 million data points across 3 systems
- 🛠️ Issue resolved in 2 hours 17 minutes (vs. 19 days pre-AI)
And it’s not just about fixing problems, AI is preventing them before they happen. 87% of race-day issues are now flagged before they cause disruptions, and AI-powered logistics have even cut generator fuel use by 22% at night races.
I love examples like this.
We tend to forget that sometimes it’s easier to retain the customers we have vs. go find more.
Consider where AI can support helping you keep what you already have vs. all the “growth strategies” you get inundated with everywhere else.
💡 The Big Picture:
Formula 1 isn’t replacing humans with AI, it’s freeing up engineers to focus on innovation, not firefighting.
And with other major sports like the Premier League and Olympic Committees adopting similar AI-driven solutions, this is just the beginning.
Would you trust AI to keep your industry running smoothly?
If you’re curious and want to explore this one a bit more, check this out: Formula 1’s AI Partnership with AWS 🔗
The Latest on The Prompt
As you know, my show The Prompt is now totally AI generated and one of my favorite things to experiment with and grow.
I cover the topics that matter each week, but last week I got back on the microphone and recorded this fantastic show with my good friend Jess DeRose.
If you are already running a business, looking to grow one, or just have an idea to get off the ground THIS is the episode you want to listen to.
