An Agentic Approach to Domain-Specific Trainers

A proof-of-concept platform for automating the induction and support of new hires or team members into a role or domain using AI agents. This project demonstrates a reusable workflow that combines a modern full-stack application with AI-driven guidance and assessment.

Tentative app name: Dynavera

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Table of Contents

• Project Goals
• Tech Stack
• Architecture
• Features
• Setup
• Usage
• License

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Project Goals

The main objectives of this project are:

1. Reusable Workflow – Create a pipeline that can automatically onboard and guide new hires or team members in a specific domain.
2. AI Agent Integration – Use intelligent agents to provide guidance, monitor progress, and adapt learning to individual users.
3. Real-World Testing – Evaluate the suitability and effectiveness of the tool in realistic onboarding scenarios.
4. Domain Specific Trainers – Support the creation of trainers specialized for different roles, fields, or industries.

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Tech Stack

• Backend: NestJS
• Frontend: Vue 3 + Vite
• AI Agents: Python or JavaScript (TBD)
• Database: (TBD)
• Authentication: JWT / OAuth2 / Custom Managed

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Features

• Automated onboarding workflow for new hires.
• Role/domain-specific AI training modules.
• Adaptive guidance and personalized learning paths.
• Dashboard for tracking user progress and feedback.
• Modular AI agent integration (Python/JS).
• Extensible to multiple domains and roles.

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Setup

TBC

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Usage

1. Navigate to the frontend URL (hosted at https://project.viswamedha.com).
2. Register a new user or login.
3. Select the role/domain to train in.
4. Follow the guided AI-assisted onboarding workflow.
5. Track progress and view recommendations on the dashboard.

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License

MIT License