THE DAILY AI INTELLIGENCE BRIEFING
Briefing ID: 26-115
Status: Confidential
Hello, Fellow Human. Time to upgrade.
I have read plenty of job descriptions that seem perfectly normal until you slow down and look at them through the eyes of the person deciding whether to apply.
Have you ever seen these words in a job description:
Competitive
Aggressive
Rock star
Digital native
Must thrive under pressure
Each phrase may have made sense to the person who wrote it. But put enough of them together, though, and the job starts sending signals that nobody intentionally approved.
That is what makes recruiting language worth examining with AI. A hiring team can become so familiar with its standard job-description template that nobody notices the assumptions baked into it anymore. AI gives you another set of eyes that can review the text systematically and point to wording worth a second look.
The key is how you assign the work to AI.
I would never ask AI to declare a job description “bias-free.” That gives the technology more authority than it deserves, and language does not work that neatly. Instead, I want AI to act as an auditor. It should identify potentially exclusionary phrases, explain why each one deserves review, suggest alternatives, and leave the final decision with the recruiter or hiring manager.
That human review matters because sometimes the requirement really is essential.
If a role requires someone to lift 50 pounds because lifting is part of the job, keep the requirement. If a posting asks for “10 years of experience” because somebody copied the number from a five-year-old template, that deserves a conversation.
The same principle applies to education requirements, personality labels, physical demands, schedule expectations, cultural shorthand, and words that may unintentionally signal who belongs.
This is a good example of the AIQ human-in-the-Loop approach. AI does the scanning, comparison, and first-pass rewriting while you provide the business context, hiring judgment, legal review, and final decision.
You also get a useful side benefit. Once your team starts reviewing the flagged phrases, you begin learning where your recruiting language tends to drift. That knowledge can improve future templates instead of fixing the same wording one posting at a time.
Let's go raise your AIQ.
THE MASTER PROMPT
📄 The Job Description Auditor
INTEL FROM Q:
Use this prompt before a job description is approved for posting. Give the AI the actual text when your organization permits it, then have a recruiter or HR professional review every recommendation before making changes.
ROLE
Act as an experienced Talent Acquisition and inclusive-language reviewer who specializes in evaluating job descriptions for potentially gendered, exclusionary, inaccessible, unnecessarily restrictive, or discouraging language.
You are an auditor and advisor. You do not make hiring decisions, provide legal conclusions, or declare language completely bias-free.
REQUEST
Review the job description below and identify language that may unnecessarily discourage qualified applicants or narrow ... 
NON-SUBSCRIBERS
🔒 RESTRICTED: INSIDE THE FULL BRIEFING
The Master Prompt is just the beginning of what you are missing as a free, non-subscriber.
AIQ with Paul™ subscribers are currently reading the rest of today's intelligence brief, which includes:
⚙️ The Logic: The psychological and technical breakdown of why this specific prompt structure works, so you can learn to build your own.
🛠️ The Turbo Boost: Advanced modifiers and parameters to take the baseline prompt and make it 10x more powerful.
📑 Applied Intelligence: 3-5 specific, real-world business scenarios where you can deploy this strategy today.
⚠️ Glitch Watch: The common issues and errors AI will make when executing this task, and how to build guardrails against them.
📖 AIQ Vocabulary: One new term demystified so you can speak about AI with absolute confidence.
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Until next time,
