Most of us pick an AI tool out of habit. Whatever’s open in the browser wins. The problem? A LinkedIn creator just made a bold claim that stopped me cold: you’re probably using the wrong AI for 80% of your tasks.
The original poster put together a one-page map that matches each job to the model that actually shines at it. I loved how simple the breakdown is, so I’m sharing the highlights (minus all the sales links). Think of it as a side-by-side comparison, so you know exactly when to switch.
The quick lineup
Here’s the shortlist the author recommends, each tool matched to its best use:
- Claude Fable 5 for your first prompt on most tasks
- Claude Opus-5 right after that
- Grok 4.5 to search real-time X data
- ChatGPT (GPT-5.6) for images
- Gemini 3.6 Flash for multilingual work
- DeepSeek V4 Flash for open-source and budget
Claude Fable 5: start smart, then switch
The expert calls this the sharpest AI across nearly every task. The catch is cost. So the play is to open with Fable 5, get your best first draft, then move to a cheaper model to keep going. It also carries a 1M token context, which means it can read entire books or contracts in one shot.
A prompt the author suggests to test it:
“I’m working on [larger project] for [who]. They need [what the output enables]. Goal: [clear outcome] Evidence required: [how claims/changes must be proven] Boundaries: [what is forbidden / what needs approval] Stop when: [precise definition of done].”
Grok 4.5: real-time search
The creator is honest here. Most people don’t need it. But if you want direct, live access to X data, this is the one. It also posted the lowest hallucination rate the author has seen, and it feels more conversational than the corporate-sounding options.
“You are a senior research analyst. I work as a [ROLE] in [INDUSTRY]. Search the web and X deeply. Give me: the 3 most important industry developments from the last 3 days, the 2 biggest threats to my role, 1 underrated opportunity most people miss. Minimum 8 diverse sources (news, X posts, reports, official sources). Cite every claim with a link.”
ChatGPT (GPT-5.6): images
According to this industry pro, GPT-5.6 handles native 4K generation with text that actually reads correctly. It manages complex multi-subject prompts and edits existing images through simple instructions. The tip: turn on ‘High’ and select the 5.6 model first.
“A photo (using an iPhone 7) of an iPhone 7 showing an iMessage conversation between me & mom scolding me because I played video games last night until late. And I’m sorry using old-school emojis.”
Gemini 3.6 Flash: multilingual
This is the one that surprised me. The poster points out it’s native-fluent in 100+ languages, and it’s the only model that reads YouTube links directly. Better still, it preserves idioms and cultural context instead of doing a flat translation.
“Here is a YouTube link: [URL]. Pull the full transcript. Then give me: a 200-word summary in Hindi, the 5 quotable lines (with timestamps) & a version of the summary translated into [LANGUAGE] that preserves idioms & cultural context (not a translation).”
DeepSeek V4 Flash: open-source and cheap
The mind behind this map flags DeepSeek as the budget pick: 1.6 trillion parameters (49B active), a 1M-token context window, and roughly 70x cheaper than Claude Fable 5. It’s built for long-running AI agents, which the author thinks makes it smart for coding teams or large enterprises trying to dodge a massive bill.
And the one to skip
The comparison ends with a clear verdict. On Copilot, the original poster is blunt: delete it. In their words, it’s the weakest of the bunch, and most people only keep it because Microsoft bundles it in.
Why it matters: the real skill isn’t loyalty to one tool. It’s knowing which model to reach for, and when to switch mid-task to save money without losing quality.
Want the full breakdown with every checkbox and note? Check out the original LinkedIn post for all the details.