In DevelopmentPublic project.
Dataflow — AI-Driven Operations Platform
A personal product concept for managing trainees, licenses, evaluations, progress, and AI-backed recommendations from a unified dashboard.
Role: Founder & Lead DeveloperDuration: In Development
Next.jsTypeScriptAI/MLDashboard
Context
Organizations managing trainees and licenses often rely on scattered tools and manual follow-ups.
Problem
No unified dashboard existed for license status, evaluation workflows, and AI-backed recommendations.
Ownership
- Product design and dashboard architecture
- Trainee management and evaluation workflow UI
- AI recommendation panel integration
- Modular component architecture for future backend
Architecture
Admin dashboard connects to backend API → database → AI recommendation layer → prioritized insights returned to dashboard.
flowchart LR Admin[Admin User] --> Dashboard[Next.js Dashboard] Dashboard --> API[Backend API] API --> DB[(Database)] API --> AI[AI Recommendation Layer] AI --> Insights[Prioritized Insights] Insights --> Dashboard
Key Technical Decisions
| Decision | Why | Trade-off | Result |
|---|---|---|---|
| Modular dashboard architecture | Support future feature expansion | More upfront component design | Flexible foundation for product growth |
| AI as insight layer, not core logic | Recommendations augment human decisions | Requires careful UX for trust | Actionable insights without over-automation |
| Honest in-development status | Credibility over fake production claims | Less impressive at first glance | Trustworthy portfolio representation |
Implementation
- Designed organization, trainee, and license management views
- Built evaluation workflow with step-based UI
- Created insights panel for AI-backed recommendations
- Established component architecture for future API integration
Results
- Personal product in active development
- Core UI flows implemented and tested for beta launch
Reflection
- Building a product teaches different lessons than enterprise feature work.
- Honesty about development status builds more trust than inflated claims.