Job search, tested

Connect Shortlist to your own AI assistant: score jobs, write fact-checked resumes and answer application questions from Claude, ChatGPT or Claude Code.

What an MCP connector lets an AI assistant do with your job search, five checks before you connect one, and why job-posting text needs care.

How FastApply's Auto-pilot, Co-pilot and Apply for Me work and what they cost, compared with AIApply, Simplify, LazyApply, LoopCV, ApplyBoost and Shortlist.

How AIApply's Auto Apply, pricing and refunds actually work, and the alternatives by what you want: auto-apply, autofill you control, or a fit check first.

Whether ApplyBoost (applyboost.ai) is really free, how it says it makes money, what its terms say about approval and your inbox, and the alternatives.

What ApplyArc (applyarc.com) does and costs, how it differs from applyarc.io, and the alternatives: trackers, autofill tools and fit checks before you apply.

Which words in a job posting are real resume keywords (tools, skills, titles, certifications), which to ignore, how to handle acronyms, and where to put them.

A checklist for when applications go nowhere: fit, knock-out answers, how the ATS reads your resume, core skills, timing, location, and finding the cause.

iCIMS, Oracle Taleo and SAP SuccessFactors forms: the account at each company, resume parsing, drafts, Taleo's time-out, the eSignature and your status.

What an Easy Apply application sends, what the employer sees, when the company's own site is the better choice, and how to make either one count.

LinkedIn's date filter stops at 24 hours. Edit one number in the search link to see jobs posted in the last hour, or any window, sorted newest first.

What Submitted, In process, In review, Under consideration and Inactive usually mean on Workday, Greenhouse, iCIMS and Taleo, and what to do while you wait.

Tell from the application link whether a job uses Workday, Greenhouse, Lever, Ashby, iCIMS, Taleo or SuccessFactors, and what each means for your application.

What a Greenhouse application asks: no account, resume and cover letter uploads, the employer's questions, voluntary self-identification, and what comes next.

What Lever and Ashby application forms ask, why they are short, how Lever reads your resume, which links and answers recruiters read, and what happens next.

The method behind Shortlist's match score: what the AI does, what fixed rules in code decide, how partial matches count, and a worked example.

What job auto-apply tools actually do, where they fail (screening questions, wrong roles, site rules), and a slower approach that usually gets more interviews.

What an ATS actually does with your resume, where automatic rejections really come from, the myths worth ignoring, and what to fix so recruiters find you.

Work authorisation, sponsorship, notice period, salary, relocation and years with a tool: what each screening question checks, and how to answer it well.

How to read a job posting's requirements, which gaps matter and which don't, and a simple test for deciding whether to apply when you are not a perfect match.

A fifteen-minute method for tailoring a resume to each job posting using only true experience: what to change, what to leave alone, where AI tools go wrong.

Auto-apply bots, autofill extensions, resume scanners and trackers compared honestly: what each one does, whether it submits for you, and what it costs.

A field-by-field guide to Workday applications: the account per company, what Autofill with Resume gets wrong, My Experience, pick lists, skills and dates.

Letter-spaced headings, ligatures, right-aligned dates and two columns: what actually happened when we extracted text from the same resume in seven templates.

Why sidebars and two-column layouts often scramble the text a tracking system reads, what we saw when we tested one, and how to convert yours to a single column.

What current, present, last drawn and expected CTC mean, how to write them in lakhs per annum, example answers for forms, and an email template for recruiters.