Yesterday a Chrome extension called JobTailor AI turned up on r/PromptEngineering. It tackles the most annoying part of using a chat model on a resume. You paste in the job description and your history, and the model slips in a skill or a result you never had. Then you read every line to catch it. Anyone who has done this knows the feeling: a bullet looks great until you notice it claims you led a team of eight, and you led nobody.
What’s new
JobTailor AI is a Manifest V3 Chrome extension. It pulls the job description from LinkedIn, Indeed or Greenhouse postings in one click. The site also says Lever works. From your master profile it writes ATS-optimized resume bullets, including Google XYZ-formula bullets, plus a 3-paragraph cover letter for that job.
If you haven’t met the XYZ formula, it’s simple. You write “Accomplished X, as measured by Y, by doing Z.” So instead of “Managed email campaigns,” you get something closer to “Grew newsletter signups by 40%, measured by weekly new subscribers, by rewriting the welcome sequence.” The format forces a result and a method into every bullet, which is why recruiters like it. It also makes invented numbers easier to spot, because every bullet now carries a claim you can check.
The extraction step matters more than it sounds. Copying a job description by hand means you often grab the header, the footer and half a sidebar along with it. A one-click pull keeps the input clean, and clean input gives the model less room to wander.
The twist
The interesting part is the ATS gap audit. It compares your background with the posting and shows which skills you’re missing. Most tools try to cover gaps with nice wording. This one tells you the gap is there, and that is the better way to use a model here. The full auditor is only on the paid plans.
Think about what you can do with that list. If a posting asks for SQL and a tool you’ve never touched, you now know before you apply. You can decide whether to skip the job, spend a weekend on a small project, or address it honestly in the cover letter. A gap you know about is a decision. A gap hidden by smooth wording is a risk that shows up in the interview.
The grounding claim needs a caveat. The FAQ says the model is told to base every bullet and cover letter on real experience in your profile. That’s an instruction, not a guarantee, so you still read what comes out.
Mini-workflow
- 🧭 Fill in your master profile once, with real work history only. Include titles, dates, tools you actually used and any numbers you can back up.
- 🔍 Open a posting and click to extract the job description. Glance at the extracted text to make sure it grabbed the full requirements list.
- ✍️ Generate bullets and the cover letter for that job. Treat the output as a draft, not a final.
- 📋 Check the gap audit, then check every bullet against your actual record. Anything you can’t point to in your own history gets cut or rewritten.
Pro tips
- The poster asked the sub what actually stops a model from inventing skills or metrics. The top reply says a second pass works best. It extracts the claims from the output, checks them against your source material, and flags anything not explicitly in there. You can run that yourself on any tool’s output. Paste the generated bullets and your profile into a fresh chat and ask for a list of every claim that has no matching line in the profile. A fresh session works better than the same thread, because the model isn’t defending what it just wrote.
- Keep your profile specific, with real numbers where you have them. The model can’t invent a metric if the true one is already in the source. If you don’t have a number, say so in the profile, something like “no hard figure available.” That tells the model to stay qualitative instead of filling the blank.
- Keep one profile entry per role, and write each in plain language rather than polished resume speak. Plain facts give the model less to embellish, and you can tell at a glance whether a bullet matches what you did.
- Run the gap audit before you tailor anything. If the missing list is long, you may save yourself an hour of editing on a job that was never a fit.
Pricing, as the poster lists it
Starter is free, with 3 applications a day, 1-click extraction on LinkedIn and bring-your-own API key. Pro Monthly is $9.99 a month for unlimited generations and hosted AI. Pro Lifetime is a one-time $29 and adds interview preparation and questions plus lifetime updates. Paid plans have a 14-day money-back guarantee.
The free tier is enough to judge the main idea. Three applications a day is plenty for a test run. Since the full gap auditor sits behind the paid plans, the free tier will only show you part of the story, and the 14-day guarantee is the low-risk way to see the rest if the first run impresses you.
One note: the poster says they’re posting for the JobTailor team, so this is a vendor post. The post has 1 upvote so far, so treat it as a find to test, not a proven winner. Try the free tier and see how the gap audit reads. Run it on one job you know well, where you can judge the gaps against what you already know about yourself.
What has worked for you against made-up skills? Strict source-only rules, a checking pass, structured input? Drop it in the comments 🏴☠
Link from the post: https://jobtailor-landing-six.vercel.app/
Tailoring resume bullets to each job posting with an LLM without it inventing experience: a Chrome extension
by u/investigatormaker in PromptEngineering