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The Calum Johnson ShowAI Reporter: The NEW Way To Use A.I. To Get Rich in 2025 (Chat GPT, Gemini & Perplexity Labs!)
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WHAT IT’S REALLY ABOUT
Matt Wolfe Shows How ChatGPT, Perplexity and Gemini Boost Productivity
- Matt Wolfe argues that three tools, ChatGPT, Perplexity and Gemini, cover most of what he needs, so people who learn them stay well ahead of most of the world without chasing every new release.
- He says the winners will be AI orchestrators who know the tool landscape and can prompt well, and that he thinks elaborate prompt engineering is overvalued compared with talking to the AI like a teammate and giving it good context.
- He demonstrates ChatGPT projects with custom instructions for scripting Shorts and explaining research papers, plus analysis of YouTube analytics and image generation that serves as one asset in a larger workflow.
- He shows Perplexity as his replacement for Google searches, and Perplexity Labs as a roughly 10-minute consultant-style report with charts, sources and action steps, while Gemini Deep Research and AI Studio handle interview prep and very long documents or videos.
- Wolfe says it has never been easier to build quick MVPs and test viability, and he closes with a weekend challenge of journaling or voice-dumping about work and life into ChatGPT.
IDEAS WORTH REMEMBERING
5 ideasThree tools are enough to stay ahead
Wolfe says ChatGPT, Perplexity and Gemini are the big players, and learning them keeps you roughly 90% ahead of people not paying attention to AI, even if you only stay aware of other releases.
Orchestrators will be the long-term winners
Wolfe compares the future skill to a symphony conductor who knows the landscape of tools, prompts them well and sends AI agents off to handle sales, coding, design and video. He still expects roles like coders and editors to persist for craft and enjoyment.
Prompt engineering is overvalued; context is not
Wolfe says role-priming prompts like 'you are an expert' haven't made a big difference for him, but more context, such as analytics screenshots, past writing samples and memory, consistently improves results.
Projects turn ChatGPT into reusable departments
By putting custom instructions and example transcripts into a project folder, Wolfe can upload just a PDF and get a Short script or a simplified explainer back with no extra prompt. He still rewrites the draft to sound like himself.
Pick the model by task
Wolfe uses o3 for analytical work like finding correlations in data and charts, and 4o for writing, brainstorming and creative tasks, and says 4o is his main go-to.
WORDS WORTH SAVING
5 quotesI am prompting them like I am talking to another team member on Slack, right?
— Matt Wolfe
the people who learn to be the conductors of all of these tools are the ones that are gonna be the winners
— Matt Wolfe
AI is an amazing correlation-finding machine, right?
— Matt Wolfe
I don't think there's ever been a better time to sort of test and rapidly iterate and see will this work?
— Matt Wolfe
Figuring out what to make the videos about and then writing the script is the hard part, and that's what I lean on AI for.
— Matt Wolfe
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SPEAKERS
Matt Wolfe
guestAI-focused YouTuber and podcast host (Next Wave), covering practical workflows with tools like ChatGPT, Gemini, and Perplexity.
Calum Johnson
hostHost of The Calum Johnson Show, interviewing creators and entrepreneurs about AI and business workflows.
High quality AI-generated summary created from speaker-labeled transcript.