Anthropic Claude Project: AI Employee Monitoring SaaS Development
Budget: $250 – $750 SGD
Project Brief: Freelance Developer for Employee Monitoring AI SaaS Startup
Project Overview
We are building an AI-powered employee activity monitoring SaaS platform targeted at small and medium enterprises (SMEs). The core product consists of:A lightweight desktop agent/app installed on employee Windows/macOS computers.
A web-based dashboard (frontend + backend) for company admins/managers.
Daily data processing via LLM (e.g., Claude or similar) to generate insightful reports.
Subscription-based billing (monthly per user/seat).
The desktop app will capture activity data (keystrokes, application usage, websites visited, idle time, etc.), transmit it securely, and feed it into an LLM for summarization and reporting. Reports will highlight productivity insights, potential issues, and trends without storing raw sensitive data longer than necessary.
Your Role
You will be the primary developer responsible for building the MVP using Claude (Anthropic) as your main coding assistant. You will generate, refine, test, and document all code. We expect iterative development with regular updates, clean code, and attention to security, performance, and cross-platform compatibility.Phase 1: Desktop Agent (Priority – High)Build a cross-platform desktop application (Windows + macOS support preferred, Electron or native where suitable).Core Requirements:Silent installation with minimal UI (system tray icon, admin-configurable settings).
Keystroke tracking: Log keystrokes per application/window, with timestamps. Group by active window/session. Implement basic filtering (e.g., exclude passwords fields if detectable).
Activity monitoring:Active applications and window titles.
Websites visited (browser integration or URL monitoring where possible).
Idle time detection (periods of inactivity > X minutes).
Screenshots (optional, toggleable, blurred/redacted where possible).
Data handling: Local buffering of data. Daily (or configurable interval) secure upload to our backend API. Data should be anonymized/encrypted in transit and at rest where feasible.
Performance: Low CPU/memory footprint. Must run in background without noticeable impact on user machine.
Security & Compliance:Self-updating mechanism.
Configurable consent/logging policies.
Anti-tampering (basic detection if app is closed/killed).
Logging levels and debug mode for support.
Tech Stack Suggestion (discuss alternatives):Electron / Tauri for cross-platform ease, or Rust + native bindings for lighter footprint.
Use Claude to generate modules for keyboard hooks, process monitoring, etc.
Deliverables: Fully working installer packages (.exe, .dmg), source code (Git repo), setup documentation, and basic testing on clean VMs.
Phase 2: Web Dashboard & BackendBuild a modern web application for company admins.
Features:User/company authentication (multi-tenant).
Employee list management, device enrollment, and policy configuration.
Daily/Weekly Reports dashboard: LLM-generated summaries (productivity scores, top apps/websites, inactivity alerts, flagged content, trends over time).
Searchable activity logs (with appropriate access controls).
Alerts and notifications (email/Slack integration for anomalies).
Billing/subscription management (integrate Stripe or similar).
Admin settings, team roles, export options (PDF/CSV).
Tech Stack:Frontend: React.js / Next.js + Tailwind (modern, responsive UI).
Backend: Node.js / Python (FastAPI) – whichever you prefer for LLM integration.
Database: PostgreSQL or Supabase/Firebase.
LLM Integration: API calls to Claude (or OpenAI/Anthropic) for report generation. Prompt engineering for consistent, professional summaries.
Hosting: Deploy-ready (Vercel/AWS/DigitalOcean).
Deliverables: Live demo URL (or local setup), full source code, API documentation (Swagger/Postman), and basic CI/CD setup.Phase 3: Integration, Polish & Additional FeaturesEnd-to-end data flow: Desktop → Secure API → LLM processing → Report generation & delivery.
Basic analytics dashboard with charts (using Recharts or similar).
Role-based access control.
Error handling, logging, and monitoring.
Basic documentation for end-users and internal support.
Non-Functional RequirementsStrong emphasis on security (encryption, secure auth, data minimization).
Privacy-first design (configurable data retention, consent mechanisms).
Scalable architecture for hundreds to thousands of monitored endpoints.
Clean, well-commented code + architecture diagrams.
Thorough testing (unit + basic E2E).
Regular progress updates (e.g., weekly demos or Loom videos).
Timeline & Milestones (Flexible, to be agreed)
Week 1-3: Desktop agent MVP.
Week 4-7: Web dashboard + integration.
Week 8+: Polish, testing, documentation, deployment prep.
What We ProvideAccess to Claude Pro / API credits if needed.
High-level architecture guidance.
Feedback on iterations.
Stripe/test accounts for billing.
Domain and basic hosting setup.
Skills RequiredStrong full-stack experience (desktop apps + web).
Experience with system-level programming (keyboard hooks, process monitoring).
Familiarity with LLMs/prompt engineering.
Security best practices.
Ability to work independently and research solutions quickly using Claude.
Budget & Terms
[To be discussed – e.g., milestone-based payments]. Please provide your rate, estimated total cost, and timeline.Legal / Ethical Note
The product must include clear consent mechanisms and comply with applicable laws (GDPR, local labor laws, etc.). We will handle legal review separately; you must flag any high-risk features during development.If you are interested, please reply with:Your relevant experience (portfolio/GitHub).
Questions or suggested tech stack changes.
Estimated timeline and cost breakdown.
Looking forward to building this together!
Project Overview
We are building an AI-powered employee activity monitoring SaaS platform targeted at small and medium enterprises (SMEs). The core product consists of:A lightweight desktop agent/app installed on employee Windows/macOS computers.
A web-based dashboard (frontend + backend) for company admins/managers.
Daily data processing via LLM (e.g., Claude or similar) to generate insightful reports.
Subscription-based billing (monthly per user/seat).
The desktop app will capture activity data (keystrokes, application usage, websites visited, idle time, etc.), transmit it securely, and feed it into an LLM for summarization and reporting. Reports will highlight productivity insights, potential issues, and trends without storing raw sensitive data longer than necessary.
Your Role
You will be the primary developer responsible for building the MVP using Claude (Anthropic) as your main coding assistant. You will generate, refine, test, and document all code. We expect iterative development with regular updates, clean code, and attention to security, performance, and cross-platform compatibility.Phase 1: Desktop Agent (Priority – High)Build a cross-platform desktop application (Windows + macOS support preferred, Electron or native where suitable).Core Requirements:Silent installation with minimal UI (system tray icon, admin-configurable settings).
Keystroke tracking: Log keystrokes per application/window, with timestamps. Group by active window/session. Implement basic filtering (e.g., exclude passwords fields if detectable).
Activity monitoring:Active applications and window titles.
Websites visited (browser integration or URL monitoring where possible).
Idle time detection (periods of inactivity > X minutes).
Screenshots (optional, toggleable, blurred/redacted where possible).
Data handling: Local buffering of data. Daily (or configurable interval) secure upload to our backend API. Data should be anonymized/encrypted in transit and at rest where feasible.
Performance: Low CPU/memory footprint. Must run in background without noticeable impact on user machine.
Security & Compliance:Self-updating mechanism.
Configurable consent/logging policies.
Anti-tampering (basic detection if app is closed/killed).
Logging levels and debug mode for support.
Tech Stack Suggestion (discuss alternatives):Electron / Tauri for cross-platform ease, or Rust + native bindings for lighter footprint.
Use Claude to generate modules for keyboard hooks, process monitoring, etc.
Deliverables: Fully working installer packages (.exe, .dmg), source code (Git repo), setup documentation, and basic testing on clean VMs.
Phase 2: Web Dashboard & BackendBuild a modern web application for company admins.
Features:User/company authentication (multi-tenant).
Employee list management, device enrollment, and policy configuration.
Daily/Weekly Reports dashboard: LLM-generated summaries (productivity scores, top apps/websites, inactivity alerts, flagged content, trends over time).
Searchable activity logs (with appropriate access controls).
Alerts and notifications (email/Slack integration for anomalies).
Billing/subscription management (integrate Stripe or similar).
Admin settings, team roles, export options (PDF/CSV).
Tech Stack:Frontend: React.js / Next.js + Tailwind (modern, responsive UI).
Backend: Node.js / Python (FastAPI) – whichever you prefer for LLM integration.
Database: PostgreSQL or Supabase/Firebase.
LLM Integration: API calls to Claude (or OpenAI/Anthropic) for report generation. Prompt engineering for consistent, professional summaries.
Hosting: Deploy-ready (Vercel/AWS/DigitalOcean).
Deliverables: Live demo URL (or local setup), full source code, API documentation (Swagger/Postman), and basic CI/CD setup.Phase 3: Integration, Polish & Additional FeaturesEnd-to-end data flow: Desktop → Secure API → LLM processing → Report generation & delivery.
Basic analytics dashboard with charts (using Recharts or similar).
Role-based access control.
Error handling, logging, and monitoring.
Basic documentation for end-users and internal support.
Non-Functional RequirementsStrong emphasis on security (encryption, secure auth, data minimization).
Privacy-first design (configurable data retention, consent mechanisms).
Scalable architecture for hundreds to thousands of monitored endpoints.
Clean, well-commented code + architecture diagrams.
Thorough testing (unit + basic E2E).
Regular progress updates (e.g., weekly demos or Loom videos).
Timeline & Milestones (Flexible, to be agreed)
Week 1-3: Desktop agent MVP.
Week 4-7: Web dashboard + integration.
Week 8+: Polish, testing, documentation, deployment prep.
What We ProvideAccess to Claude Pro / API credits if needed.
High-level architecture guidance.
Feedback on iterations.
Stripe/test accounts for billing.
Domain and basic hosting setup.
Skills RequiredStrong full-stack experience (desktop apps + web).
Experience with system-level programming (keyboard hooks, process monitoring).
Familiarity with LLMs/prompt engineering.
Security best practices.
Ability to work independently and research solutions quickly using Claude.
Budget & Terms
[To be discussed – e.g., milestone-based payments]. Please provide your rate, estimated total cost, and timeline.Legal / Ethical Note
The product must include clear consent mechanisms and comply with applicable laws (GDPR, local labor laws, etc.). We will handle legal review separately; you must flag any high-risk features during development.If you are interested, please reply with:Your relevant experience (portfolio/GitHub).
Questions or suggested tech stack changes.
Estimated timeline and cost breakdown.
Looking forward to building this together!