🏴‍☠️ Upgrade Your Choices with ChatGPT

Weigh 5 Factors First

Author

Captain YAR
January 21, 2026 • Estimated Reading Time: 9 minutes

Most people treat AI like a slot machine: pull the lever, hope for magic, feel disappointed.
But the fastest way to get great output is to stop guessing and start directing.
I just came across a brilliant guide from a talented LinkedIn creator who lays out a simple system for doing exactly that.
It’s practical, repeatable, and it removes the weird randomness that makes AI feel unreliable.
And once you use it a few times, you’ll wonder why you ever prompted any other way.

The engine behind this method is a shift from “asking” to “modeling.” Instead of describing what you want with fuzzy adjectives, you reverse engineer a real example that already nails the vibe. When the AI can study a “golden sample,” it stops guessing what you mean by phrases like “professional but witty.” It can see the pattern, copy the structure, and reproduce the feel with far less drift.

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Turning Logic into a Science
The core philosophy behind this creator’s approach is moving away from open-ended questions and toward structured frameworks. Instead of simply asking “What should I do?”, the expert demonstrates how to force the AI to build a Decision Matrix. When you tell it to weigh factors like ROI, feasibility, and risk against each other, you get a calculated recommendation instead of a generic opinion.

Here’s the value-add most people miss: your matrix is only as good as your inputs. If you give fuzzy criteria, you get fuzzy output. If you define what “risk” means to you and what “success” looks like, the model becomes a rational sounding board that stays consistent, even when you’re tired or stressed.

Strategic Business Matrices
The first major takeaway is for business owners facing complex trade-offs. You list your options, for example Option A, B, and C, and require the AI to score them against specific evaluation metrics. The creator emphasizes assigning weights, which is the whole game.

A practical tip: start with 4 to 6 metrics max. Too many metrics turns into noise and you will rationalize anything. Also, write one sentence under each metric explaining how you will judge it, so you don’t “move the goalposts” after you see the result.

Balancing Head and Heart
I loved how this same logic works for personal dilemmas. We treat career moves or major life changes as purely emotional decisions, then wonder why we feel regret later. This creator suggests feeding the AI constraints like financial stability, location, and lifestyle impact alongside your personal values.

One small upgrade that makes this far more honest: add a “regret test.” Ask the model to predict what you might regret in 6 months for each option, and what you would be proud of. It helps you see the friction between what you want and what you need without pretending you are a robot.

Resource Optimization
The third insight focuses on time, because time is always the hidden constraint. The LinkedIn user shares a method for strictly allocating hours between competing activities. The prompt doesn’t just ask for a schedule; it asks for optimization based on effectiveness and rest.

That rest requirement is not fluff. A schedule that ignores recovery is just a plan to fail on Wednesday. When you force the AI to account for sustainability, it stops giving fantasy calendars and starts giving something you can actually follow.

The Human Element
This creator also adds the reminder that matters most: AI is for processing, not final judgment. It can surface blind spots, trade-offs, and second-order effects you forgot to consider. But it cannot live with the consequences, so you still own the decision.

Use the output like a flashlight, not a steering wheel. If your intuition disagrees, don’t ignore it. Investigate why.

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Prompt of the Day
Here are the specific prompts the creator shared that you can copy and use immediately:

Strategic Business Decision Evaluation

“I am deciding between [Option A], [Option B], and [Option C] for my business. Provide a structured decision matrix where you track each option against evaluation metrics such as long-term ROI, alignment, risks, and feasibility. Assign weights to each factor, rank for each score, and end with a scenario recommendation of the best choice along with possible trade-offs.”

Personal Life Choice Analysis

“I need to decide between [Choice A], [Choice B], and [Choice C] for my personal situation. Consider life constraints like financial stability, budget, time, location, lifestyle impact, and weighted pros/cons to create a logical framework that concludes, supports, risks, and recommends the best direction based on what aligns with a clear justification.”

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