Jobbyo

Jobbyo is an AI agent that finds matching jobs, tailors resumes, writes cover letters and submits applications after the user approves each one. A Max tier adds a human career strategist, and a dashboard tracks every application sent.

Jobbyo is an AI job search agent that handles the repetitive parts of looking for work: finding roles, tailoring a resume for each one, writing cover letters, answering screening questions and submitting the application. It is aimed at job seekers who have spent months sending dozens of applications with little response, and who want volume without giving up quality or control. In practice, the user builds a profile (the site describes this as creating a clone that copies their voice and experience) and sets preferences such as salary and remote work. The agent then returns a curated list of matched roles, each with a match percentage, ready for a quick decision. For every role it prepares an application package with a tailored resume, a cover letter, answers to screening questions and an ATS-friendly format, along with a confidence score. Nothing goes out automatically without sign-off: the user approves or rejects each application with a single tap, and can give feedback that the system uses to improve tone, role relevance and cover letter quality over time. A dashboard shows every application sent, including resume changes, cover letter drafts and screening answers. The product mixes automation with people. The homepage says each application is human-verified, and a higher tier adds one-to-one support from a career strategist who handles profile setup, resume review and monthly check-ins. Customer comments on the page mention matching that runs on a 24-hour cycle with an emailed summary, a community on Slack and quick support replies, though these are testimonials rather than documented specifications. Among alternatives, Jobbyo sits between plain resume builders, generic auto-apply bots and traditional recruiters or career coaches. Its pitch is headhunter-style service at a lower price, with a review step meant to avoid the generic, obviously machine-written submissions that bulk auto-apply tools are known for. Reviews quoted on the page also note that early setup and preference tuning take some effort, and that a few matches can miss the mark before feedback sharpens results.