WorkJourney is an AI skill verification service built around journal entries rather than a resume generator. It is intended to help people present proven skills through a public Skill ID profile, with the site explicitly contrasting that profile with fake resumes and unverified claims.
The service lets a user add a resume, after which it extracts skills automatically, and then verify those skills by journaling daily work. Those entries can include images, wins, and challenges. Claude analyzes the journal entries and generates ranked, verified skills together with an AI assessment specific to what the person actually did. WorkJourney also includes a skill activity heatmap for tracking consistency and seeing verified skills ranked by strength. A public profile at workjourney.ai/u/[username] can be shared with recruiters and companies.
WorkJourney also offers YouTube Learning Paths. A user can paste any YouTube link, and the platform extracts the transcript automatically. Claude then structures the video into weekly goals, steps, and journal prompts tailored to the user, and the resulting learning record can be shared publicly after the steps and progress are logged. The site also says that learning paths can be chosen from the community or built for free.
The product is web-based and the navigation on the site includes Home, Learning Paths, Mobile, Pricing, and Sign Up. It is free to start and requires no credit card. The page names Claude as the AI system used for skill analysis and assessments, and it identifies WorkJourney as an AI Skill Verification tool.
In the HR & recruiting space, WorkJourney takes a focused approach. It focuses on eliminating fake resumes by verifying real skills through AI analysis of work journals and activities. It is built as a consumer product for job seekers and recruiters. A free plan is available. WorkJourney is available on the web.
WorkJourney first shipped in 2024. Among its 6 catalogued features are AI skill verification, journal entry analysis, and Skill ID profiles.
Summary written by a language model from the project’s public pages.
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