🏴‍☠️ Stop Wishing, Start Constraining

Most people treat LLMs like humans, assuming the computer understands tone, urgency, or implicit intentions. This approach flips that script entirely by treating the model as what it actually is: a probability machine. The industry pro behind this guide, u/Alive_Quantity_7945, argues that AI doesn’t “read” at all: it simply runs math on tokens.

When we prompt casually, we are writing “wishes.” The author suggests we need to write “constraints.” If you don’t use the specific vocabulary of a field, the AI drifts into generic territory. I found this distinction incredibly helpful because it shifts the blame from the “dumb model” to my own lack of clarity.

In partnership with

The Lithium Boom is Heating Up

Thanks to growing demand, lithium stock prices grew 2X+ from June 2025 to January 2026. $ALB climbed as high as 227%. $LAC hit 151%. $SQM, 159%.

But the real winner may be a stock not listed on public exchanges, EnergyX.

This $1B unicorn’s patented technology can recover 3X more lithium than traditional methods. That’s earned investment from leaders like General Motors.

Now they’re preparing for commercial production just as experts project 5X demand growth by 2040. They’ve announced what could be one of the US’ largest lithium production facilities and have rights to approximately 150,000 lithium-rich acres across North and South America.

Unlike public stocks, you can buy private EnergyX shares alongside 40,000+ other investors. Invest for $11/share by the 2/26 deadline.

Invest in EnergyX Today

_{This is a paid advertisement for EnergyX Regulation A offering. Please read the offering circular at invest.energyx.com. Under Regulation A, a company may change its share price by up to 20% without requalifying the offering with the Securities and Exchange Commission.}

Quick Start

• What you’ll learn: How to replace vague instructions with “high signal” vocabulary to stop AI hallucinations.

• What you need: Any LLM and a clear objective.

The Pre-Prompt Audit

Before you type a single word into the chat box, you need to clarify your own thinking. The expert asserts that most failures happen here, not inside the model.

Answer these three questions first:

1. What EXACTLY do I want?

2. How do I make the AI focus on what I want, leaving nothing implicit, since I understand that an AI is not a human who has implicit understanding of most things, but ONLY follows the command that I’m about to give it?

3. What’s the best way to position the AI as a professional on the field I’m targetting?

The Vocabulary Hunt

If you want professional results, you must speak the professional language. If you don’t know the specific jargon for your task (e.g., coding, legal, medical), you need to find it first.

The author recommends opening a separate chat to research keywords. This prevents the AI from having “drifting space.”

Stop typing prompt essays

Dictate full-context prompts and paste clean, structured input into ChatGPT or Claude. Wispr Flow preserves your nuance so AI gives better answers the first time. Try Wispr Flow for AI.

See a demo

*Ad

Other awesome AI guides you may enjoy

• The Idea Destroyer: A Prompt That Roasts Your Bad Ideas

• This “Everyday” System Prompt aims for perfection

• Finding what the internet hides

• Stop Letting AI Think for You

• Stop using AI like a rookie

Use this exact prompt to gather your constraints:

(Note: Replace “build a webpage” with your specific goal.)

Analyze and Construct

The previous step will generate lists of domain-specific terms. In the author’s example regarding web design, the AI returned terms like “modularity,” “hydration,” “affordance,” and “canonical.”

Review these words. If you don’t understand them, you cannot effectively prompt for them. Slow down and learn the context. Once you understand the terminology, write your final prompt using these high-signal words to define the environment and constraints precisely.

Practical Next Steps

The creator emphasizes that depth beats speed. For your next task, don’t just ask the AI to “do X.” Spend five minutes gathering the technical vocabulary for X first. You will likely see a massive jump in quality because you are finally speaking the model’s language.

Check out the full discussion for more community insights on this method.

Facts. Without Hyperbole. In One Daily Tech Briefing

Get the AI & tech news that actually matters and stay ahead of updates with one clear, five-minute newsletter.

Forward Future is read by builders, operators, and leaders from NVIDIA, Microsoft, and Salesforce who want signal over noise and context over headlines.

And you get it all for free, every day.

Sign Up. Stay Ahead.

*Ad