🏴‍☠️ One prompt built around you beats 200

Most people copy prompts off the internet like recipes: paste the magic words, hope the model behaves. That seldom lands, because those prompts are built around a task instead of around you. One contributor on the r/ChatGPTPromptGenius forum decided to flip that.

The original poster tested this single template across more than 200 tasks before sharing it, and instead of one prompt for writing and another for coding, it's a single structure with brackets you fill in: your name, your role, your domain, your current goal, and the constraint you can't move around. Swap the brackets, keep the bones, and it handles writing, deciding, learning, or fixing a draft. The claim sounds bold, but the logic holds up under a real look.

Here's why I think it earns your ten minutes: it stops treating the model like a vending machine and starts treating it like a colleague who already knows your situation. You stop rewriting prompts from scratch every session and build one that adapts instead. That single shift moves output quality more than any clever wording ever will.

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The core move: load the model with a fixed identity before it reads your request. The template opens with two blocks, WHO I AM and WHAT I'M WORKING ON, where you set your role, your domain, your style, and this week's real goal. Every answer then runs through your context instead of a generic one.

I've watched this fail with lazy inputs, and the author flags the same trap. Type 'marketing person' and you get a bland marketing answer. Type 'growth lead at a 12-person B2B SaaS startup running paid acquisition and partner deals' and the model builds for that exact job.

Precision in, precision out. That single detail separates a toy you abandon after a week from a tool you keep reaching for on real work.

Before it writes a word, the template forces the model into a private <thinking> block you never see. Inside it, the model answers four questions: what you're after, which assumption it should flag, what makes the reply genuinely useful, and what format fits. Then, and only then, it responds.

This is chain-of-thought prompting, hidden from the final output so you only get the polished result. The expert who posted it swears the gap between a reply that ran this step and one that skipped it is not subtle. I ran it on a messy email draft and came away convinced the step is the difference.

Cutting the block for speed backfires fast. That reasoning step is where the model works out what you meant, not just what you typed.

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The template's smartest section routes your ask into one of five behaviors. Ask for a decision and it leads with a real recommendation in the first sentence, no 'on one hand, on the other' waffle that leaves you to decide anyway. Ask it to improve your writing and it preserves your voice instead of flattening it into AI tone.

Ask it to think something through and it works step by step, then surfaces the part you're probably missing. Ask it to teach and it explains like an expert talking to a sharp non-specialist, with one example and the thing most people get wrong. Each type gets its own rule.

Then comes the part I rate highest: RUNNING PREFERENCES. Say 'shorter' once and it holds for the rest of the session. Correct the model and the fix sticks without you saying it twice.

Reading the structure and building the reflex are two different jobs, and only one of them takes reps. I've been running short daily ones in 3 Minute AI, where every lesson hands you a task plus a built-in chat lab to run it in instead of a summary to nod at. Two full courses are free, which is enough to find out whether the format sticks for you.

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There's a quieter block too, OUTPUT RULES, telling the model to lead with the answer and skip the 'great question' preamble. A quick ask gets three sentences. A hard problem gets the full treatment, no padding and no restating your question back at you.

Three failure modes exist, and all trace back to skipping steps. Vague brackets produce vague output, the same way a fuzzy brief gets you a fuzzy answer from any human. Cutting the thinking block guts quality, and ignoring the preferences block wastes the smoothest part of the whole thing.

You can extend it, too. The template ships with five request types, but if your work leans on a sixth, add another block in the same arrow format with its own rule, and it slots in without friction. If you steal one thing, steal the thinking block: a single line you can bolt onto almost any prompt for a fast quality jump.

Open a blank note right now and fill in the brackets for your role, your goal, and your constraints, then save it as the one prompt you reuse everywhere.

If you want the ready-to-paste template with the thinking block and routing already wired in, grab the full template and setup.

Worth 10 minutes if you want one reusable prompt that adapts to you instead of hunting for a new one on every task.

Credits to the original creator.

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