If mastering 1 skill could boost your content results by 1000%, would you do it?
That skill is Deep Research, one of the most slept on content levers made possible by AI.
You’re a good fit for this training if you:
want quick, repeatable methods
want to generate high quality content
are a leader, solopreneur, or student with content research needs
Start generating the type of content your audience is already asking for.
Remember your old iPod? Maybe yours, maybe your parents'?
Last year, nostalgic, I discovered an entire community still devoted to keeping these relics alive:
Replacing batteries with help from YouTube
Buying, selling refurbished iPods online
Upgrading memory, adding Bluetooth, and more
Truth is, I got here running from my own screen addiction
😳 It started with self-disgust (4-5 hours screen time per day)
👣 Which led me to looking at phones like this
(yes, CAT)
‼️ Which led me to r/iPod, shopgoodwill.com, and more.
After far too many scrolling sessions, I snagged a used iPod 7th gen.
(Isn’t this article supposed to be about AI?)
Glad you asked.
(iPods are dead, bro)
Right again.
The iPhone dominated…
The iPod died… because it couldn’t update itself or pull in new data.
Modern AI is winning because it can.
Today’s lesson: Tools need access and retrieval.
ChatGPT, Gemini, Claude
Let’s talk about the evolution of LLM’s.
The Static Era:
Ready, set, iPod Analogy.
Your classic iPod was a one-way street. Load songs from your laptop once, that’s it.
No Beyoncé songs on the initial upload? She doesn’t exist, because there’s no web access.
Early AI models were trained once, like filling an iPod once.
If you ask it about something new, it can’t answer - not because it’s dumb - because the information simply isn’t there.
The Generative Era (Remix)
ChatGPT, Claude, Gemini, Grok.
Your favorite AI tool can ‘remix’ its trained knowledge to generate new combinations. Words, ideas, summaries…
It feels fresh, but it’s still built entirely on the data it saw during training.
(RAG’s Version)
Here’s the major upgrade: Web access.
Today’s AI isn’t just remixing stale knowledge anymore. RAG helps the AI ground it’s answers in real data, letting it fetch and blend current information.
Today’s models can retrieve:
Recent industry news
Your own business reports.
Industry benchmarks.
Internal documents you’ve uploaded.
Then it generates an answer that’s grounded in your context, your data, and today’s world.
That’s how deep research delivers the content your audience actually wants.
Businesses who want serious AI leverage aren't just “using ChatGPT.”
They’re learning how to build retrieval pipelines.
Their AI isn’t just smart, it’s relevant.
You can find the research function near your chat box on every AI platform.
What topic will YOU deep dive first?
Provider | Feature Name (look for button!) |
---|---|
Perplexity AI | Research (formerly Deep Research) |
Claude (Anthropic) | Research (formerly Compass) |
Google Gemini | Deep Research |
Meta LLaMA | N/A (no branded feature) |
Grok (xAI) | DeepSearch / DeeperSearch |
P.S.
Did anyone else notice something missing?
Provider | Feature Name (look for button!) |
---|---|
OpenAI (ChatGPT) | Deep Research |
SMH
If you’ve scrolled this far, here’s more about my screen time journey.
I went cold turkey on the iPhone. I had to.
My unihertz jellystar sucks, but that’s the point.
If you want to know more you’re welcome to reach out.
My latest AI Power Move combines Deep Research with Google’s NotebookLM to create custom podcasts that actually sound good.
Here’s how it works:
Conduct a deep research query on any topic.
Don’t read it whatsoever
Upload the report into NotebookLM.
Click to generate an audio overview.
*Select longer or custom instructions to the audio overview if needed.
I guarantee you will be impressed by the quality of the podcast hosts!
*NotebookLM is free for Google Workspace customers.
If you know someone who would enjoy this content,
Tuesdays: The next episode with Chip & Scoops, a couple of AI-curious friends just like you.
(Catch up on the last episode here) I might sunset this series. TBD.
Thursdays: We’ll cover LLM and AI concepts. (Don’t worry. I put the cookies on the lower shelf, where anyone can reach ‘em.) I teach advanced concepts in simple, bite-sized chunks that anyone can understand.
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