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Invoice reminder workflow with human approval — Implemented an accounts-receivable reminder process that prepares timely follow-ups while preserving a human approval checkpoint before messages are sent. The result combines speed, traceability and operational control.
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Connect with clients, get discovered, and run your business 100% commission-free
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Related posts
Polar — Local AI Desktop Assistant
Polar is a local, privacy-focused AI desktop assistant designed around a futuristic HUD interface and system-level interaction.
The project explored how a desktop AI could understand the user's environment, process visual and voice input, and respond or perform actions without relying entirely on cloud services.
Key features:
Local AI assistant architecture
Futuristic Tauri-based desktop HUD
Screen and contextual awareness
OCR-based extraction of text from the screen
Voice interaction pipeline
AI-powered context processing and responses
System-level desktop interaction and automation
Local/offline model execution
Real-time assistant-style interface
OCR pipeline:
Screen capture → OCR → Context extraction → Local AI → Response/Action → HUD
The project combined AI, computer vision, OCR, voice interaction, desktop application development, and modern UI engineering into a single experimental personal-assistant platform.
My contribution: Architecture, application development, AI integration, OCR functionality, UI/HUD development, and system interaction.
This is beautiful
Sample deliverable: AI Cost / Value Snapshot from the AI Agent Authority Audit. This review uses client-supplied estimates to compare monthly AI/tool spend with time saved or business value created, identify cost or control gaps, and prioritize what should be tightened, monitored, or tested next. It is designed to help small businesses make AI usage more measurable and operationally accountable.
