Why prompts fail | Master AI Automation in 4 hours Master AI Automation in 4 hours Course About Ayush Modules Sample chapter Toolbox The Microcap Minute Module 02: Talking to Machines: Prompting / Chapter 1 Why prompts fail Watch first, then read.
Same lesson, your pace.
What you will learn - The single cause behind almost every bad AI answer - What a model does with vague instructions - The two-sentence fix that upgrades any prompt The vagueness tax Try an experiment in your head.
A friend says: "Make food." What do you cook?
For four people or forty?
You'd have to guess, and whatever you make has maybe a one-in-ten chance of being what they wanted.
When you type "write about climate change" or "make it better" or "fix my essay" , the model is that friend in the kitchen.
It must guess: length?
It guesses from the most average patterns on the internet, and serves you the most plausible answer instead of the right one.
Every guess the machine makes for you is a tax on quality.
Call it the vagueness tax .
Bad prompts pay it constantly; good prompts refuse to.
What the machine actually hears An LLM has no access to your intention, only to your words.
So: "Short summary" → short by whose standard?