Zylos Recruit
Lightweight AI-assisted ATS for resume evaluation, role matching, role portrait discovery, reference interview-question generation, and candidate pipeline management.
Key Features
AI Resume Evaluation
Upload PDF resumes and evaluate candidates against a role JD and expected candidate portrait with structured recommendations, match scores, strengths, risks, and interview focus.
Candidate Pipeline
Manage candidates through a compact ATS workflow: pending, scheduled, interviewed, passed, and talent pool.
Role Portraits
Run internal stakeholder conversations to clarify hiring needs, generate one or more role portraits, and save them into the role library.
Interview References
Generate Pages-backed reference interview-question documents grounded in the candidate resume, role context, and prior evaluation for human interviewers.
Reference Application Patterns
Local AI Runtime Reuse
Uses configurable local AI runtimes such as Claude, Codex, Gemini, or ChatGPT instead of hard-coding a single API provider.
Sandboxed Data Access
Runs CLI-based AI calls through bubblewrap when available, exposing only the scoped files needed for each task.
Session Context
Maintains multi-turn context for internal role-discovery conversations while keeping company, candidate, resume, and role data scoped.
Agent-Friendly API
REST APIs and Bearer token authentication make it practical for agents, scripts, and external workflows to submit and manage candidates.
Install
zylos add zz-howard/zylos-recruit