Play 65
AI Training Curriculum
Medium✅ Ready
Adaptive learning platform with personalized exercises and micro-certifications.
Personalized AI-powered learning platform that assesses learner knowledge through diagnostic evaluations, generates custom exercises calibrated to skill level, provides instant detailed feedback, and tracks progression across competency maps. The curriculum engine dynamically recommends next modules based on demonstrated mastery and issues micro-certifications upon competency thresholds. Built on Static Web Apps for the learner portal with Cosmos DB tracking individual learning paths.
Architecture Pattern
Adaptive assessment: competency-gated progression, generative exercises, micro-certs
Azure Services
Azure OpenAICosmos DBStatic Web AppsBlob StorageAzure Functions
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — Curriculum Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (245 lines), evaluate (109 lines), tune (187 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with OpenAI key input + envFile
TuneKit (AI Config)
- config/openai.json — gpt-4o for exercise generation and feedback
- config/guardrails.json — responsible AI, educational accuracy
- evaluation/eval.py — Progression rate >70%, Assessment validity >85%
Tuning Parameters
Difficulty scaling factorAssessment pass thresholdFeedback detail levelProgression rate limitCertification criteria
Estimated Cost
Dev/Test
$40–90/mo
Production
$1K–4K/mo