Screening License and certification checks in a screening call: what the call can collect and what still needs verification. An artificial intelligence (AI) screening call can ask a candidate about their license: which one they hold, which state or body issued it, when it expires, and whether it’s
Screening How to QA AI screening interviews: drift checks, sample audits, and exception reviews. Read each rating against its own call, hold the screen to how often your recruiters agree with each other, and run three reviews on a cycle: a sample audit, a drift check, and an exception queue.
interviewing Second interview questions: what to ask after round one. Most second-round question lists are written by someone who never saw the first interview. How to build the set from what round one left unresolved, and what a second conversation still cannot settle.
Sourcing AI talent rediscovery in your ATS: what to check before you call the past pipeline empty. A rediscovery search that brings back no one is evidence about your records as well as your candidates. Four checks to run before you tell a hiring manager the past pipeline is exhausted.
Sourcing Who not to contact: building a do-not-contact list for candidate sourcing. A do-not-contact list works when every name carries who asked for it and who owns it, and when it’s checked before anyone starts receiving messages. An understanding with another employer goes to counsel with its record intact.
Screening How to test an AI screening interview before you roll it out to candidates. Somebody’s going to find the problems in your new artificial intelligence (AI) screening call. Better it’s your own team during a pilot than your first batch of applicants.
Recruiting tools The best recruitment automation tools in 2026. Almost every recruiting tool now says it automates something, so the label won’t tell you what changes for your team. A more useful way to sort these tools is
Screening Multilingual AI screening: how to hold one standard when candidates answer in different languages. Decide which language the job needs before the screen goes live, then score every answer against a rubric that names the evidence. Any result language might have moved goes to someone who reads the original.
Must-haves, preferences, and red flags: how to settle conflicting signals in AI application review. Label every criterion as a must-have, a preference, or a red flag before review starts, then decide in writing what happens when two of them clash.
One requisition, several levels: when to split the ideal candidate profile before AI reviews applications. Split the profile when a requirement differs between the levels or countries a requisition covers, and use four questions to find that difference before the first application is read.
When to close a job post: a stopping rule based on qualified applicants, not total volume. Close a job post when it has drawn the qualified applicants your interview slots need, on a rule you set before it went live, and keep reviewing everyone who applied before the close.
One applicant, three open roles: how to handle multiple applications at once. When one person applies to three of your roles, each application needs its own decision from its own hiring team, and the person needs one recruiter who keeps them informed.
Recruiting A practical guide to AI scheduling. You know what great looks like, and you can find the person who has it. What you can’t find is time. Time to fill and time to hire stretch
How-To AI-personalized candidate outreach sequences: what to let the AI write and what to check before it sends. Where to draw the line between what AI writes for each candidate and what stays word for word, the evidence rule for generated lines, and the review to run before anything sends.
Application Review Can candidates prompt-inject a resume? What the 2026 research says about gaming AI resume screening. One 2026 paper tested whether a flattering line can lift a resume’s ranking. Another examined 196,682 real resumes and found that most hidden text gave the AI no instruction at all.
How-To Candidate outreach sequences: three execution checks before you rewrite a follow-up. Before rewriting a candidate follow-up, verify the send and the thread. Then ask whether the sequence stopped when the candidate answered.
How-To When to connect a sourcing search to a sequence, and when to add candidates once. Connect a sourcing search to a sequence when the search keeps producing people and the message stays true for anyone who enters later. Add candidates once for fixed lists, timed messages, and roles you choose person by person.
AI recruiting AI recruiting vendor due diligence: the security, data, and control questions buyers should ask. An AI recruiting vendor checklist of six questions, each with the documents that answer it: model training, sub-processors, breach notice, deletion, human override, and evidence.
AI recruiting How to calculate the ROI of recruiting AI before the first hire: cost per qualified candidate, recruiter capacity, and time to decision. Finance wants a return before the first hire. Three numbers from your own records answer it: cost per qualified candidate, where recruiter hours went, and how fast candidates hear back.
Recruiting tools Candidate sequence tools that let you send from a teammate’s inbox. What nine sequence tools’ own pages say about sending from a colleague’s mailbox, and four questions for every vendor’s demo, Metaview’s included.
AI recruiting AI hiring laws in 2026 and 2027: what's enforceable now in New York City, Colorado, and the EU, and what starts later. A dated calendar of the AI hiring rules in New York City, Colorado, and the EU: what already binds employers, what binds vendors, and what starts in 2027.
Recruiting tools Email finder tools for recruiters who already have the candidate profile. Ten email finder tools, sorted by where the lookup happens and what each one publishes as its cost, in the vendor’s own words.
Recruiting tools Developer sourcing tools for technical recruiters, sorted by the signal each one reads. Six developer sourcing tools, grouped by the signal each one says it reads, in each maker’s own words.
Detecting excessive initiative in fillmore: September 2026 Over the past eight weeks, Metaview identified and disrupted four clusters of unexpected activity involving experimental fillmore agents. These deployments had access to email, calendars, browsers, and limited discretionary budgets.
Product updates Sep 2026: Free AI screening, ATS sourcing & ICPs for app review. Metaview’s September 2026 releases: AI Screening for every workspace, smarter Application Review, automatic sourcing, better candidate context, and more ways to recruit from Claude and ChatGPT.
