SchoolWhool

SchoolWhool is an AI Job Agent that works around the clock to find new jobs, tailor your résumé for each role you pursue, with opt-in automatic applications launching soon. Alongside the agent, SchoolWhool offers practical, applied courses in AI, machine learning and deep learning.

Your agent keeps checking hundreds of employers' own career pages for newly posted roles. It matches openings against your résumé, target roles, skills, location and work preferences, then explains why each role fits and where your experience has gaps. As new matching jobs appear, they enter your search without you having to revisit every company's website.

For every job you choose to pursue, the agent prepares a résumé tailored to that job and a short cover letter. It rewords your own experience rather than inventing qualifications, keeps your original résumé intact, and shows each edit with an undo. One-click tailoring also lets you prepare applications for other roles you select.

Opt-in Greenhouse automatic applications are in final testing and launching soon. You decide whether it runs and can turn it off at any time. It pauses when a required question needs your input, and keeps application history in your private pipeline. This brings job discovery, job-specific preparation and application submission into one agent workflow.

SchoolWhool Pro includes tailored résumés and cover letters, with automatic applications subject to their own limits. Free job browsing and email job alerts are available separately. You can also download your documents and apply directly on an employer's website.

The courses connect detailed explanations to real use cases and hands-on practice. Course material includes quizzes with answers and explanations, interview questions and answers, self-checking notebooks, and practical projects with checks for your results, alongside cheat sheets and common mistakes. They are built and taught by Gaurav Jain, an AI engineer and startup CTO with a Master's in Artificial Intelligence, experience shipping production AI systems and published deep-learning research. The focus is understanding how AI works and applying it to real problems. Lessons are released progressively, with public learning material and free account quizzes and saved progress.