How to Improve Your AI Prompts: A Simple Trick for Complex Tasks

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Sound familiar?

You wrote a long prompt — but AI forgot the most important condition at the end.

Your prompt works sometimes, fails other times — same request, different results.

The longer and more complex the prompt — the worse the output.

You spend more time fixing AI mistakes than doing the actual work.

Знакомая картина — разберём, что с этим делать ниже.

The Real Problem

Why Complex Prompts Don't Work

We tend to think of AI as software: 'If I write A, it must do B'. But AI doesn't work like that. It predicts words, it doesn't execute commands.

Imagine giving an intern a task: 'Sort the mail, but if it's from a VIP, reply politely, but if it's spam, delete it, but if it has an attachment, save it...'. The intern will get confused and make mistakes. AI does too.

Every extra condition in your prompt increases the chance of errors. It's not a bug — it's how neural networks work. And this is the number one prompting mistake — trying to cram everything into a single request.

How to Make Your Prompt Effective

Don't try to cram a complex task into one prompt. Split it into simple steps — like an assembly line. This principle works for ad copywriting, meeting notes, and any multi-step task.

Instead of one complex prompt — two or three simple ones.

Each step is a separate prompt. One step's output → next step's input.

Simple prompt = effective prompt. Simplify.

Example 1: Ad Copy for a Campaign

Step 1: Describe Your Product

Describe your product in a notebook and enable context. AI will see it in every request.

In the notebook, write: what the product is, who it's for, how it's better than competitors.
Enable notebook context — now AI 'knows' your product.

Describe once — no need to repeat. AI sees the notebook context in every request.

Step 2: Ad Headlines

Ask for headlines only — AI already knows the product and focuses on brevity.

Prompt: 'Suggest 10 ad headlines, under 30 words each'.
AI doesn't get distracted describing the product — it's already in context.

One prompt = one task. AI generates only headlines — and each within the limit.

Step 3: Review and Refine

A separate request for review — AI finds mistakes better than it prevents them.

Prompt: 'Review the headlines: are they all under 30 words? Any duplicates? Suggest replacements'.

A separate review prompt — a simple way to improve quality. AI is better at finding others' mistakes.

Example 2: Meeting Notes → Team Action Items

Step 1: Structure the Chaos

Dump your messy notes into a notebook. Don't waste time formatting.

Write everything down: who said what, decisions, open questions.
Prompt: 'Organize these notes by discussion topics'.

No need to format your notes — let AI figure it out. One prompt = one task.

Step 2: Extract Action Items

Now ask to extract specific action items — AI already sees the structure.

Prompt: 'Extract tasks, owners, and deadlines. Format: task → who → when'.
AI works with already structured text — accuracy is higher.

First step's result → context for the second. Each next prompt builds on the previous one.

Step 3: Format for the Team

Final request — prepare a message ready to send.

Prompt: 'Format a meeting summary and task list for the team chat. Brief, to the point'.

Three prompts instead of one — and messy notes became a ready-to-send message for the team.

One Prompt vs Three Prompts

Compare: one complex prompt against three simple ones.

One Complex Prompt

A prompt with 5 conditions — result: 2 out of 5 followed.

Three Simple Prompts

3 prompts in sequence — result: 5 out of 5 followed.

Q&A

Stop Fixing AI's Mistakes

Try splitting your task into steps right now. The result will surprise you.

How to Improve Your Prompt for Complex Tasks