Playbooks for running a requisition, honest write-ups of what is changing in AI recruiting, and guides to how applicant tracking systems really read a resume.
Repeatable processes for the requisitions that come round again and again.
Most bad shortlists are caused by a vague intake. A structured thirty-question intake, and what to do with the answers.
Read the playbook →Hiring PlaybooksHeadings, skill phrasing and the compensation line — small choices that decide whether your posting structures cleanly.
Read the playbook →Hiring PlaybooksRanking candidates is easy. Explaining the ranking is the job. A format for defensible shortlists.
Read the playbook →What is actually changing in sourcing and screening — and what is just a demo.
If your parsing bill grows linearly with volume, you are paying a model to relearn the same vocabulary every day.
Read the article →AI Recruiting TrendsThe failure mode nobody demos — AI resume tools adding employers and metrics that never existed, and how to block it.
Read the article →AI Recruiting TrendsHidden white-on-white instructions in uploaded CVs, what they try to do, and how a parser should treat document content.
Read the article →How parsers read a CV, why yours might be failing, and what is worth fixing.
A walk through the structured record a parser extracts — and why the blank fields matter more than the full ones.
Read the guide →ATS & Resume GuidesWhether they break parsers, which parts break, and what to do if you like the layout too much to give it up.
Read the guide →ATS & Resume GuidesHow skill matching really works, why the skills section alone will not save you, and where to put the evidence.
Read the guide →Upload a resume or job posting and inspect the structured record TalentGraph produces.