Free Guide

Write job postings with AI
and hire faster without a recruiter

Hiring is one of the most time-consuming things a small business owner does — and it usually starts with a blank page. Here's how to write better job postings, sort through applicants, and run a faster hiring process using AI tools you already have access to.

Why hiring takes so long — and what actually slows you down

The hiring process breaks down in two places. First, writing the job posting. Most business owners either copy something generic from the internet or spend two hours trying to sound like HR. Neither produces great applicants.

Second, sorting through what comes back. Even a modest posting on Indeed or LinkedIn can generate 60–100 applications in a week. Most are a quick "no," but finding the few worth interviewing takes hours of reading — hours you don't have when you're also running your business.

The real cost: A business owner who spends 8 hours writing a job posting and reviewing resumes — and then makes a bad hire — has lost those 8 hours plus the 3–4 months of time and pay it takes to realize the hire isn't working. AI doesn't guarantee a great hire. But it dramatically speeds up the front end and helps you ask better questions.

The good news: both problems are exactly the kind of writing and sorting work that AI handles well. You don't need special software. A free account with ChatGPT or Claude is enough to cut the time in half.

3 ways to use AI in your hiring process right now

These work whether you're hiring your first employee or your fifteenth. No HR background required.

Tip 1

Write a better job posting in under 5 minutes

Most job postings fail because they describe what the company wants without explaining what the role actually involves day-to-day. Good candidates skip past vague postings. AI helps you write something specific without spending an afternoon on it.

Open ChatGPT or Claude and paste this prompt, filling in your details:

Prompt to use: "Write a job posting for a [role title] at my [type of business]. Day-to-day tasks include: [list 4–6 specific tasks]. The ideal person has [required experience or skills]. The job is [remote/in-person/hybrid] and pays [range or 'competitive.' We're a [small team/family business/fast-growing company] that values [1–2 things]. Keep it under 300 words, friendly but professional, no corporate jargon."

Read what it produces and adjust any details that don't match. The posting will be tighter, clearer, and more likely to attract applicants who actually read it — rather than people mass-applying to anything.

Tip 2

Sort through resumes 10x faster with a simple scoring prompt

When applications come in, you don't need to read every resume in full. You need to quickly identify who meets your basic requirements and who doesn't. AI does this scanning in seconds.

Copy your job posting into AI, then paste the text of 3–5 resumes (or applicant summaries) and use this prompt:

Prompt to use: "Here is a job posting: [paste posting]. Here are [X] applicants: [paste resume text or summaries]. For each applicant, give me: 1) a fit score out of 10, 2) their two strongest qualifications, 3) any red flags or gaps. Then rank them from most to least promising in one sentence each."

You'll get a ranked short-list in under a minute. Your job becomes reviewing the AI's output — not reading every resume from scratch. Use this to get 60 applications down to 8 worth a closer look, then down to 3 worth interviewing.

Important: Always make the final call yourself. Use AI to save time, not to make the decision for you. A quick skim of any resume it flags as "strong" takes 90 seconds and keeps you in control.

Tip 3

Generate interview questions tailored to the role

Generic interview questions ("tell me about yourself," "where do you see yourself in 5 years") don't tell you much. What you want to know is whether this person can actually do the specific job. AI writes role-specific questions that actually reveal something.

Prompt: "Write 8 interview questions for a [role title]. Focus on questions that reveal: how they handle [specific challenge common to the role], how they've [relevant past experience], and how they approach [key skill or behavior]. Include 2 practical scenario questions and 1 question that reveals how they handle making a mistake."

Example for a bookkeeper role: Questions AI produced: "Walk me through how you typically handle month-end close when you're behind. Tell me about a time you caught an error that someone else missed — how did you find it? If a client called furious about an invoice discrepancy right before you had to leave for the day, what would you do? What's your system for keeping track of multiple client deadlines at once?"

These questions surface how someone actually thinks — not how well they rehearsed answers to standard HR questions.

Free — Unlock the rest

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