menu
{ "item_title" : "Stop Guessing, Start Engineering", "item_author" : [" Mike Pritula "], "item_description" : "I've read AI prompts from more than 150,000 HR professionals across 200+ countries. Almost every one makes thesame mistake.Someone opens ChatGPT, types write a job description for a sales manager, and hits enter. Out comes generic mush -the same bland paragraph a thousand other companies got that morning. They paste it, half-fix it by hand, and quietlydecide AI isn't ready for HR. Then they do it again the next day, from zero, burning hours re-editing output they nevershould have generated.It keeps happening for one reason: no one ever showed them that a prompt has an anatomy, the same way a good job ad ora clean policy does. The tool was never the problem. The instruction was. One vague line in, one vague answer out.What works: The 7-Block Prompt - the structure every reliable HR prompt sharesThe PAIR System - four layers that cover ninety percent of HR workChain-of-Thought - makes the model reason, lifting accuracy on judgment calls by up to thirty-nine percentContext Engineering - an assistant that already knows your company, policies, and toneWhat doesn't: One-line prompts typed on hopeDownloaded prompt packs you don't understandTreating a reasoning engine like a search boxThe system in this book is what I've watched work, in company after company. 57 ready-to-use templates inside - nodownloads, no email walls, just turn the page.A single prompt-engineering course runs $200 or more; an AI-for-HR consultant charges that for one afternoon. This is thesame system, tool-agnostic across Claude, ChatGPT, and Gemini, for the price of a paperback.Stop pasting hope into a text box. Read it once, then watch your next week of AI work go differently.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/819/028/9798190283235_b.jpg", "price_data" : { "retail_price" : "24.99", "online_price" : "24.99", "our_price" : "24.99", "club_price" : "24.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Stop Guessing, Start Engineering|Mike Pritula

Stop Guessing, Start Engineering : Prompt Engineering for HR - The PAIR System for Reliable AI at Work

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

I've read AI prompts from more than 150,000 HR professionals across 200+ countries. Almost every one makes thesame mistake.

Someone opens ChatGPT, types "write a job description for a sales manager," and hits enter. Out comes generic mush -the same bland paragraph a thousand other companies got that morning. They paste it, half-fix it by hand, and quietlydecide AI "isn't ready for HR." Then they do it again the next day, from zero, burning hours re-editing output they nevershould have generated.

It keeps happening for one reason: no one ever showed them that a prompt has an anatomy, the same way a good job ad ora clean policy does. The tool was never the problem. The instruction was. One vague line in, one vague answer out.

What works:

  • The 7-Block Prompt - the structure every reliable HR prompt shares
  • The PAIR System - four layers that cover ninety percent of HR work
  • Chain-of-Thought - makes the model reason, lifting accuracy on judgment calls by up to thirty-nine percent
  • Context Engineering - an assistant that already knows your company, policies, and tone

What doesn't:

  • One-line prompts typed on hope
  • Downloaded "prompt packs" you don't understand
  • Treating a reasoning engine like a search box

The system in this book is what I've watched work, in company after company. 57 ready-to-use templates inside - nodownloads, no email walls, just turn the page.

A single prompt-engineering course runs $200 or more; an AI-for-HR consultant charges that for one afternoon. This is thesame system, tool-agnostic across Claude, ChatGPT, and Gemini, for the price of a paperback.

Stop pasting hope into a text box. Read it once, then watch your next week of AI work go differently.

This item is Non-Returnable

Details

  • ISBN-13: 9798190283235
  • ISBN-10: 9798190283235
  • Publisher: Independently Published
  • Publish Date: August 2026
  • Dimensions: 9 x 6 x 0.64 inches
  • Shipping Weight: 0.84 pounds
  • Page Count: 284

Related Categories

You May Also Like...

    1

BAM Customer Reviews