Name: The Only AI Tools You Need (12-Minute Guide)
Uploaded: 2026-01-26T04:32:23.000Z
Duration: 11 min 56 s
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I use around 10 AI tools for 90% of my work, and

But figuring out which tool works best for what task usually takes months of trial and error.

So I'll share the one thing each tool does better than alternatives, so you walk away with a clear mental model for when to use what.

I've grouped these tools into four categories across a two part series.

This video covers everyday and specialist AI.

While part two covers the remaining two categories, let's get started kicking things off with everyday AI.

These are your general purpose chatbots, ChatGPT, Gemini, and Claude.

And while they seem interchangeable, their motes the specific things they do best have actually become quite distinct, starting with the OG ChatGPT.

While Gemini and Claude are arguably just as capable in raw power, ChatGPT still holds the crown in one area.

It's in plain English, ChatGPT drops fewer balls when you hand it a complex checklist.

give them a lengthy set of instructions and they'll sometimes skip a step or decide they know better.

If you want proof of this, just ask each model to optimize a rough prompt for itself.

ChatGPT will generate a noticeably longer and more detailed prompt, because it knows it can handle the complexity.

And if you run that optimized ChatGPT prompt through both ChatGPT and Gemini, for example, you'll notice two things.

First, ChatGPT thinks longer because it's actually checking every requirement, and it follows each instruction to the letter.

Gemini, on the other hand, often takes shortcuts.

Pro tip I share the exact prompt optimizer in the Essential Power Prompts template linked below, but

you can test this yourself with something as simple as optimize this prompt for ChatGPT.

Diving into a real world example, I gave both ChatGPT and Gemini the same complex prompt, a hiring rubric with a dozen requirements.

Gemini's output looked right at first glance, but

when I checked it against my original list, it had quietly dropped a few rules.

ChatGPT doesn't decide which instructions matter, it just follows them.

Sometimes when you explicitly tell Gemini to search the web, it just doesn't.

Which is wild, since Gemini and Google Search are both Google products, right?

Whereas with ChatGPT, when you enable web search, it performs the web search every single time.

I know this is a small example, but it's downstream from ChatGPT's core superpower.

Obedience means you can trust the behavior you ask for.

So as a rule of thumb, if the task has a lot of moving parts and getting one wrong breaks the whole thing.

Next up, Gemini where ChatGPT wins on obedience, Gemini wins on multimodality.

In plain English, Gemini is able to process a massive amount of mixed media video, audio, images and text natively.

Taking a look at this table, we see that only Gemini can handle all four types of media natively.

It's able to quote unquote, listen to audio and quote unquote watch videos while ChatGPT and Claude use roundabout ways to access that information.

What's more, Gemini's massive 1 million token context window means it can handle large video recordings, hour long audio recordings, full slide decks all together that would literally choke other models.

If you watch my latest Gemini video, you remember the use case where I screen recorded a messy walkthrough of myself completing a task, uploading that video onto Gemini and asking Gemini to turn it into a ready to use SOP with perfect formatting, which is an example of Gemini ingesting video and turning it into text.

Imagine you just finished a weekly meeting.

You have a video recording of the call, a 20 slide deck and a and a photo of a messy whiteboard session.

You can upload all three and ask Gemini to summarize what was discussed, pull out the key decisions and draft the follow up email.

Gemini is the only tool that can synthesize all three in one go.

All that said, I have to point out that Gemini's raw reasoning capabilities sometimes feels slightly behind ChatGPT, but

when the task involves video, audio or massive files, the trade off is obviously worth it.

Speaking of matching the right tool to the task, today's sponsor HubSpot put together a free guide called the AI Productivity Stack that covers 50 tools organized by use case.

While this video focuses on my personal favorites, your workflow probably needs something different.

Maybe you're in marketing and need SEO specific tools, or you manage a team and want to build automated workflows with reliable AI.

This guide breaks down tools across business functions like research, design and marketing, and

for each tool it shows you the best use case, key features, pricing, and

What I found most useful is the decision logic at the end of each.

So for example, the research category tells you exactly when to use Perplexity versus Claude versus Humada based on what you're actually trying to do, it's a great way to quickly understand what each tool does well.

I'll leave a link to this free guide down below.

Thank you HubSpot for sponsoring this video.

Rounding out the everyday AI category Claude Claude Superpower is producing higher quality first drafts than the other models.

In plain English, that means Claude's first attempt is usually closer to done.

The latest version of Gemini beat the older version of Claude in every single benchmark score, except for the coding one, which is crazy.

So obviously Anthropic has figured out something related to coding, the others haven't.

And in practice, developers universally agree that Claude writes functional code on the first try more consistently than alternatives.

I needed to bulk export conversations from a customer service platform, but

the support team said only developers could do it.

I described the problem and Claude not only gave me step by step instructions, but

also wrote a script in Go that worked on the first try.

I don't even know what Go is, nor can I write code.

Another example I asked all three models to turn a static image into an interactive chart, and

Claude performed the best on the first try.

So basically, anything that requires generating working code tends to favor Claude Pro Tip when it comes to diagrams, you can ask Claude to generate mermaid code, which you can then paste directly into tools like Excalidraw to get clean visuals in minutes.

Area 2 Polishing copy beyond Code Claude produces written drafts that sound human and need fewer revisions.

When you need to tighten an argument or match a specific voice, Claude just gets it.

Put simply, it's exceptionally good at style matching.

Once you share examples of your existing work, it replicates your tone almost perfectly.

When I was in corporate, I'd shared previous documents so Claude could replicate that voice across presentations and performance reviews.

And now as a creator, I feed it my existing YouTube scripts to help refine new drafts.

At this point, you might be wondering how I use all three everyday AI tools together.

In a nutshell, ChatGPT or Gemini usually handles the beginning of my work ideation research, drafting the outline of a presentation Claude that handles the last mile, turning that rough output into something I'm ready to present or publish.

Quick note on Grok A lot of people ask why I don't use it.

Grok's superpower is its direct access to the Twitter x Firehose right?

So it's the best option for people who need to analyze breaking news events in real time.

And as a rule of thumb, we should never use tools just for the sake of using tools.

We should only add them to our toolkit when they solve an actual problem.

We have Here's a quick recap of the three models and when to use them.

And if you're wondering whether you need all three, the short answer is no.

Most people should stick with a paid version of ChatGPT and get really good at it.

But if you can afford multiple subscriptions and your workflow can take advantage of their individual superpowers, mix and match as needed.

Fun fact According to this study on open router data models from different labs like ChatGPT and Gemini and expand the pie of AI use cases precisely because they excel at different things onto the second category, specialist AI.

Before diving in, let's clear up a very common misconception.

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The Only AI Tools You Need (12-Minute Guide)

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