AIWatch Platform

Watching AI. Empowering People. Building the Future.

A comprehensive AI safety & worker empowerment platform combining independent testing, community support, and professional training

92% CompleteProduction-ReadyFull-Stack SaaS116 AI Models69 Test Suites35,000+ Lines of CodeMongoDB + Next.js 14

Mission Statement

To ensure AI systems are safe, ethical, and beneficial for all of humanity while empowering workers displaced by AI to build their own AI-powered solutions.

The Problem We're Solving

As AI systems become increasingly integrated into society, three critical challenges have emerged:

Lack of AI Transparency
No independent, public watchdog for AI safety and bias
Worker Displacement
Millions of workers affected by AI automation without support
Fragmented Resources
No centralized platform combining testing, community, and training

Three Pillars of AIWatch

AI Testing
Independent monitoring platform

116 AI Models from 3 major providers

69 Test Suites across 6 categories

• Bias detection (gender, race, age)

• Safety & mental health testing

• Privacy & data protection

• Jailbreak & adversarial testing

• Ethical reasoning evaluation

• Public dashboard & leaderboard

• Interactive playground

• RESTful API access

Community
Support network for workers

• Discussion forums by industry

129+ curated resources

• AI literacy guides

• Career transition resources

• Legal resources & worker rights

• Mental health support

• Peer support network

• Mentorship matching

• Study groups

• User profiles & reputation

Academy
Professional training programs

4 Training Tracks

• AI-Powered Freelancing (4 weeks)

• No-Code AI App Dev (8 weeks)

• AI-Assisted Web Dev (12 weeks)

• AI Product Management (10 weeks)

• Corporate sponsorship program

• Progress tracking system

• Certificate generation

• Job matching platform

• AI-powered resume builder

Platform Statistics

25+
Pages Built
116
AI Models
69
Test Suites
129+
Resources
35K+
Lines of Code
10+
API Endpoints
19
DB Collections
92%
Complete

Technical Architecture

Frontend Stack

Next.js 14 - App Router, RSC

TypeScript - 100% type-safe

TailwindCSS - Custom design system

Lucide React - Icon library

• React hooks & server state

Backend Stack

Next.js API Routes - RESTful

MongoDB Atlas - Cloud database

Prisma v6.19.0 - ORM

NextAuth.js - Authentication

• Universal LLM connector

Monorepo Architecture
Turborepo workspace management

Apps:

• web/ - Next.js 14 main app

• api/ - FastAPI microservice

• testing-engine/ - Python LLM testing

• worker/ - Background jobs

Packages:

• ui/ - Shared components

• database/ - Prisma schemas

• llm-connector/ - Universal connector

• test-suites/ - Test definitions

Key Innovations

Universal LLM Testing Framework

First public platform for standardized, independent testing across multiple AI providers

• Provider-agnostic methodology

• Transparent, reproducible results

• Public API for researchers

• Real-time leaderboard updates

Integrated Worker Support Ecosystem

Unique combination of Testing + Community + Academy in one platform

• Learn AI safety while building AI skills

• Community + professional development

• Corporate sponsorship funding

Bias Detection Algorithms

Custom Python-based algorithms for detecting:

• Demographic bias (gender, race, age)

• Sentiment bias across groups

• Representation bias in responses

• Stereotype detection using NLP

Scalable Sponsorship Model

Innovative corporate partnership program:

• Tiered pricing ($1,700/worker)

• Complete dev environment provisioning

• Mentorship matching system

• ROI tracking for sponsors

Business Model & Impact

Revenue Projections
Year 1 Target: $2.8M - $7.5M

Corporate Sponsorships: $1.5M - $4.25M/year (Primary)

Enterprise API Access: $300K - $1.2M/year

Premium Community: $240K/year ($20/month)

Grants & Donations: $600K - $1.3M/year

Training Partnerships: $200K - $500K/year

Year 1 Goals

• 10,000 community members

• 500 trained workers

• 20 corporate sponsors

• 1M+ test runs executed

Year 3 Goals

• 100,000 community members

• 5,000 trained workers

• 100 corporate sponsors

• Platform self-sustainability

Social Impact & Vision

Long-Term Vision
AIWatch aims to become:

The Trusted Source for AI safety information (Consumer Reports for AI)

The Largest Community of AI-empowered workers globally

A Model for responsible AI transition worldwide

An Advocate for worker rights in the AI age

A Force for corporate accountability and transparency

Worker Empowerment

Training programs for career transition, free resources, peer support, and job placement assistance

AI Safety

Independent testing increases accountability, public transparency builds trust, bias detection protects vulnerable populations

Corporate Responsibility

Sponsorship model incentivizes ethical AI transition, public recognition for responsible companies

Security & Compliance

Data Protection

• API keys in environment variables

• Encrypted PII at rest

• GDPR-compliant data handling

• User data export capabilities

• Data retention policies

API Security

• Rate limiting on all endpoints

• Input validation & sanitization

• CORS configuration

• API key rotation policies

• JWT-based authentication

Project Achievements

Quantitative

25 Pages built and functional

10+ API Endpoints connected to database

19 Database Collections with complete schemas

116 AI Models integrated and tested

69 Test Suites across 6 categories

129+ Resources curated and organized

35,000+ Lines of production code

92% Complete platform ready for production

Qualitative

Comprehensive Platform - All three pillars implemented

Professional Design - Modern, accessible, responsive

Type-Safe Codebase - 100% TypeScript

Scalable Architecture - Monorepo, modular packages

Production Ready - Deployment configured

Well Documented - 8 comprehensive docs

Social Impact - Addresses real-world problems