Article by Latish Jenkins
Which AI Tool Should I Actually Use?
Not sure whether to use ChatGPT, Claude, Gemini, or Perplexity? Here's how I stopped looking for the "best" AI and started choosing the right tool for the job instead.
How I Decide Between ChatGPT, Claude, Gemini, Perplexity, and Other AI Tools Without Wasting Time
I typed "best AI tool" into Google one night, expecting a simple answer.
Instead, I found hundreds of videos, rankings, and reviews, each confidently recommending a different tool. One creator insisted ChatGPT was the only AI anyone needed. Another swore Claude was miles ahead. Gemini had its supporters. Perplexity had its fans. Every company claimed to be the best, which somehow made all of them sound less believable.
Twenty minutes later, I realized I wasn't researching AI anymore.
I was researching other people's opinions about AI.
Why There Isn't One Best AI
Eventually I realized the question itself was the problem. Asking which AI tool is "the best" is a little like asking which kitchen tool is the best — a chef's knife and a whisk aren't competing with each other, because they're built for different jobs. AI tools work the same way. Different tools genuinely excel at different tasks, and the tool that handles one job beautifully might be a mediocre fit for a completely different one.
Some AI tools are better for writing. Others are stronger at research, coding, brainstorming, image generation, document analysis, or working with current information. The differences aren't always obvious at first, but they're enough to matter. Using the right tool for the right job often saves more time than spending an hour trying to decide which company has the "best" AI.
What I Actually Reach For
In practice, I've settled into using a few different tools depending on what I'm actually trying to get done, without any particular loyalty to one over the others.
I don't open one AI expecting it to do everything well anymore. I start with the job I need done, then choose the tool that seems best suited for it.
When I'm working through something that needs careful writing or thoughtful editing — an article, a longer piece of reasoning, something where tone and nuance actually matter — I tend to reach for Claude. It's been the tool I come back to most often when I want something that reads like it was actually thought through, rather than just generated quickly. When I need something explained differently, brainstormed from a few angles, or want a familiar starting point for a task I've done a hundred times before, ChatGPT is usually where I go, mostly out of comfort and consistency built up over time.
I've used Gemini occasionally as a second opinion when I wanted to compare how a different tool approached the same problem, especially on more technical tasks where seeing two different answers side by side helped me trust the result more. When I need something that leans harder into current information with sources attached, rather than a general answer, that's usually when Perplexity earns its place in the rotation.
None of this is about any of these tools being flawless. Each one has genuinely surprised me with a wrong answer at some point, and each one has also handled something better than I expected. My reasoning isn't loyalty. It's just noticing, over time, which tool tends to actually deliver what I need for a given kind of task.
Where AI Actually Helped
The real shift happened once I stopped searching for "the best AI" as if that question had a single correct answer, and started asking a much narrower one instead: what's the best tool for this specific task, right now, in front of me.
That reframing made the whole decision faster and less stressful. I wasn't trying to pick a permanent favorite or defend a choice against everyone else's opinion. I was just matching a tool to a job, the same way I'd pick a specific tool out of a toolbox without needing to declare it the best tool that has ever existed. Some tasks genuinely don't care which tool I use. Others clearly benefit from one over another, and once I stopped overthinking the decision, I got a lot faster at just picking something reasonable and moving forward.
What AI Couldn't Do
No matter which tool I'm using, none of them know everything, and all of them make mistakes. I've had confidently wrong answers from every single one of these tools at some point — a fabricated detail stated as fact, a misunderstanding of what I actually asked, a piece of information that sounded right and simply wasn't. That's not unique to one of them. It's a limitation that comes with the category, not a flaw specific to any single product.
Every model has genuine strengths and genuine weaknesses, and none of that changes the fact that critical thinking still has to sit on my end of the conversation. I still verify anything that matters. I still read the actual output instead of trusting it automatically just because it came from a tool with a good reputation for a particular task. The tool can help me move faster. It can't replace actually paying attention to what it gives me back.
The Prompt I Use
When I'm genuinely unsure which tool makes sense for something new, this is the kind of question I ask before diving in.
I need help deciding which AI tool is best for a specific task. Here's what I'm trying to accomplish: [DESCRIBE THE TASK] Recommend the most appropriate type of AI tool based on my goal. Explain why that tool fits the task better than other common options. If multiple tools would work, explain the tradeoffs. Do not recommend a tool simply because it's popular. Help me choose based on the work I'm actually trying to do.
What Changed
I stopped asking which AI tool is the best, because that question never actually had a real answer waiting for me. Instead, I started asking a smaller, more useful one: what's the best tool for this particular job, right now.
Today I don't waste nearly as much time trying to pick the perfect AI before I begin. I pick the tool that seems like the best fit for the job in front of me, knowing I can always switch if I need to. AI isn't about finding one platform that does everything. It's about building a toolbox and knowing which tool to reach for when a particular problem shows up.
I think that's a much stronger closing.