How many words should a good prompt have?

From 10 to 200 words. A short prompt gives a general answer. A long one with context gives a precise one. The sweet spot: 30-80 words with examples and output format.

Which prompt frameworks actually work?

None are mandatory. If you need a structure — 'Role + Task + Format + Example'. But the main thing is to write as you think. The neural network understands natural language.

How to Write a Prompt for a Neural Network

Q: How to write a prompt for a neural network?

Start with a simple question — write it however you know how. You don't need frameworks or formulas. The neural network is a library, not a person. Direct your stream of thoughts into the machine and get a result. If you don't like it, clarify.

Short answer: Forget about "frameworks," "methodologies," and "ideal prompt formulas." They're gimmicks. Start with what you know: just write the question as you think. The neural network is not a person and not part of culture; it's a library. A modern one. Direct your stream of thoughts into the machine — you get a result.

Why the "Ideal Prompt" is a Myth

The internet is flooded with guides on "10 formulas for the perfect prompt" and "RTF-CTF-ACTOR methodology." The authors of these guides have never generated 200 texts in a day. They wrote one guide — and that's it.

The truth is that neural networks in 2026 understand natural language. They don't need special incantations. You can write "make it good" — and the model will understand. You can write a stream of consciousness for half a page — and the model will figure it out. The quality of the answer depends not on a magic formula, but on two things: how clearly you described the task and how good the model itself is.

Where to Actually Start

Step 1: Write as you think. Don't edit. Don't try to do it "correctly." Just spill the task into the chat window.

Step 2: Look at the answer. It will likely be "okay" but not "wow."

Step 3: Refine it. "Make it shorter," "add numbers," "write in a different tone," "you misunderstood, I meant..." — this works better than crafting a new perfect prompt from scratch. The neural network learns from dialogue — use that.

Step 4: After 3-4 iterations, you'll have an excellent result. Save this dialogue as a template for similar tasks.

Real Example

Bad prompt:

"Write an article about marketing"

Good prompt:

"I am a marketer, I need a blog article on the topic 'how neural networks are changing job searching in 2026'. Audience: job seekers aged 25-40. Format: 3 sections with subheadings, each with 2-3 paragraphs. Tone: direct, no fluff. Add 2-3 specific examples with numbers"

The difference: in the first case, the neural network is guessing. In the second, it has context, audience, format, tone. The result differs by 5-10 times.

What Actually Works

Role: "You are a marketer with 10 years of experience" — sets the tone and expertise
Audience: "For job seekers aged 25-40" — narrows down style and vocabulary
Format: "3 sections, each with a table of numbers" — defines the structure
Example: "Here is a style I like: [link]" — the best way to set the tone of voice
Taboo: "Don't use the words: innovative, unique, revolutionary" — cleans out clichés

I will set up prompts for your business. The first task is a free audit.

@axelfreeman →