Hire talent that actually
knows how to
use AI.
Stop guessing from resumes. We provide access to professionals who have built, deployed, and verified their AI competence through our interactive tutor platform.
See the Build Log
Don't just trust a bullet point. View the exact prompts, bug fixes, and architectural choices candidates made during real projects.
Verified Execution
Skills are granted automatically by our AI Tutor only after successful code compilation and API testing. Completely unforgeable.
Instant ROI
Hire professionals who can already automate their own workflows, write Python scripts, and leverage LLM APIs from day one.
How system verification works
Every candidate skill score is grounded in execution data, not self-reported quizzes.
1. Capture Build Signals
We track project milestones, prompt iterations, tool usage, and successful runs as the learner builds with their AI Tutor.
2. Score Against Rubrics
Signals are evaluated against role-specific competency rubrics, then promoted from in-progress to verified once standards are met.
3. Publish Evidence Package
Recruiters can inspect the public profile, project artifacts, and build logs before outreach.
What you can evaluate before interviews
Use proof-backed filters so your shortlist reflects real capability with AI tools in production-like workflows.
Role and Tool Fit
Filter by role path, verified skills, and tool usage such as Python, APIs, Cursor, SQL, and RAG.
Execution Evidence
Review delivered project summaries, completion status, and audit logs for how each candidate solved technical blockers.
Readiness Signals
Assess current build momentum, response quality, and verification freshness before scheduling recruiter calls.
Hiring outcomes from the network
74%
of sourced candidates reach interview stage
3.2x
faster technical screening cycle
92%
pass hands-on workflow simulation
24h
typical response time for first outreach