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PrivaPrompt, originally developed as AI DataGuard, is a privacy-focused AI application I built to help users work with AI while protecting sensitive information. The project includes a public product website, a Windows desktop application, backend services, provider integration, licensing/activation flow, and privacy-screening features designed to detect and reduce exposure of private data before sending prompts to AI providers.
My work covered the full development process, including application design, frontend and backend development, API integration, deployment setup, Windows packaging/testing, and product launch preparation.
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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Just wrapped up a custom website project in Framer for my client!
Focused on creating a clean, modern, and responsive experience that looks great across all devices. From layout design to smooth interactions and performance optimization, every detail was crafted to help the brand stand out online.
1 Built with Framer
2 Fully responsive design
3 Fast-loading pages
4 Modern UI/UX
5 Easy-to-manage structure
Always excited to help businesses turn their ideas into high-converting websites.
#Framer #WebDesign #WebsiteDevelopment #UIUX #FreelanceDesigner #ContraCreator #ResponsiveDesign #NoCode
nice
The stats block ($7k/mo, $4.3M, $150K) does a lot of trust work. For a wealth advisory client, those numbers tell the story faster than any paragraph of copy could. How much of the layout came from Framer's AI vs what you built manually?
Every n8n workflow has the same shape.
Three parts. Every single time.
Trigger → Processing → Action
That's it. Let me break it down in plain English:
Trigger
→ This is what starts the whole thing — a phone call ends, a form gets submitted, an email lands in your inbox.
→ Nothing runs until the trigger fires. It's the domino that tips everything else.
Processing
→ This is the middle — where the workflow reads the data, makes decisions, and branches based on conditions.
→ "If the caller wants to book, go this way. If they want to cancel, go that way." Logic. Rules. No guessing.
Action
→ This is the outcome — log the CRM, send the confirmation email, book the calendar slot, send a confirmation SMS.
→ This is the part the business actually sees. Everything before it exists just to make this happen correctly.
Here's a real one from my own work:
AI receptionist takes a call → n8n reads what the caller needed, checks which service they asked about, confirms the appointment details → books the slot in Google Calendar and sends the client a confirmation SMS.
No human touching it. No appointment falling through the cracks.
That's what n8n does. It takes the conversation and turns it into a business outcome.
The AI talks. n8n does the work.
Follow @krittiyaclark — I document every build.
The Trigger-Processing-Action framing is useful for explaining this to clients who don't think in workflow terms. Makes it concrete fast.
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