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How to Improve Your Prompt for Complex Tasks
Wrote a detailed prompt with five conditions — but AI only followed two? Here's a simple trick that makes even complex prompts effective.
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.»
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.
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.
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'.
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'.
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.
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'.
One Prompt vs Three Prompts
Compare: one complex prompt against three simple ones.
A prompt with 5 conditions — result: 2 out of 5 followed.
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.