Why we built Calyflow open source
Recruiting AI handles careers and client trust, so Calyflow is AGPL-3.0: inspectable code, self-hostable, and your data is never held hostage.
The Calyflow Blog
Practical AI workflows for sourcing, screening, and outreach, written by recruiters who run them.
The AI Adoption Ladder for recruiting teams
A five-rung maturity model for recruiting teams: from no AI, to personal chat use, to shared prompts, to team workflows, to an AI-operated search lifecycle.
AI sourcing maps: from JD to boolean strings in one run
A sourcing map turns a job description into target companies, talent pools, and ready-to-paste boolean strings, in one AI run instead of an afternoon.
How to screen CVs with AI without hallucinated qualifications
The fix for AI inventing candidate skills is evidence quoting: require a verbatim CV quote for every claim, and treat "no evidence" as a finding.
Chatting with AI vs. building AI workflows in recruiting
Chatting with AI gives one person one good answer once. Workflows give the whole team the same quality on every search. Here is the difference in practice.