Play 59
AI Recruiter Agent
High✅ Ready
Resume screening with bias detection and explainable hiring decisions.
AI recruitment assistant with resume screening, job-candidate matching, and interview scheduling via Microsoft Graph. Features bias detection across demographic attributes, skills assessment with configurable rubrics, and diversity analytics dashboards. All decisions include explainability reports for compliance with fair hiring regulations and internal audit requirements.
Architecture Pattern
RAG-powered matching: responsible AI bias detection, explainable scoring
Azure Services
Azure OpenAIAzure AI SearchCosmos DBAzure FunctionsMicrosoft Graph
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — Recruiter Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (234 lines), evaluate (149 lines), tune (195 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with OpenAI + Doc Intelligence inputs + envFile
TuneKit (AI Config)
- config/openai.json — matching precision, explanation generation
- config/guardrails.json — bias detection thresholds, fairness constraints
- evaluation/eval.py — Match accuracy >80%, Bias disparity <10%
Tuning Parameters
Match score thresholdBias detection sensitivitySkills weight distributionDiversity target bandsExplanation detail level
Estimated Cost
Dev/Test
$50–80/mo
Production
$1K–3K/mo