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The control center behind my AI Chatbot SaaS. 🤖
Here, I can onboard a client by collecting their business information and adding it to their dedicated Knowledge Base.
Each client gets a unique Client ID, allowing the AI Agent to deliver client-specific, context-aware responses.
The chatbot then runs live on the client’s website through our SaaS platform and server infrastructure. 🚀
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Manufacturing facility managers were flying blind, relying on delayed reports and disconnected spreadsheets to monitor multi-line production status. A modern industrial operation needed a central nervous system. I designed and developed FABRIX AI — a high-performance, real-time command center that aggregates data across active production lines and delivers instant visibility into yield, OEE (Overall Equipment Effectiveness), and maintenance alerts.
The Challenge
Industrial environments generate massive amounts of data, but it's often siloed or presented in outdated, hard-to-read interfaces. The core challenge was twofold:
Data Aggregation: We needed to ingest live statuses, targets, and outputs from multiple concurrent production lines without latency.
Cognitive Load: Operators on the factory floor needed a UI that instantly communicated critical alerts (like yield drops or material shortages) without requiring them to dig through menus. The interface had to be deeply legible in low-light industrial environments while looking like a premium, modern SaaS product.
he FABRIX AI dashboard transformed raw factory data into an actionable, real-time narrative.
Facility managers now have a single pane of glass showing global OEE, total output, and granular line-by-line efficiency.
The high-contrast alert system dramatically reduces response times to yield drops and maintenance bottlenecks.
The fully responsive, single-page application structure allows the dashboard to be displayed on large factory floor monitors or accessed remotely by shift supervisors without losing visual hierarchy.
Have an idea? Let’s turn it into a real digital product. 🚀
I build modern, responsive websites, Android apps & AI-powered solutions designed to help businesses stand out and grow.
Whether you need a high-converting business website, a custom mobile app, an AI-powered feature, or an internal dashboard — I can help turn your idea into a working product.
What I build:
🌐 Modern Websites & Web Apps
📱 Android Applications
🤖 AI-Powered Solutions & Integrations
📊 Business Dashboards & Automation
🔗 API & Firebase Integrations
Have a project in mind? Let’s build it.
Open to working with startups, founders, agencies & businesses worldwide. 🌍
#WebDevelopment #AndroidDevelopment #AI #WebDesign #FreelanceDeveloper #Startups #SaaS #AIDevelopment #Contra #WebDevelopment #AndroidDevelopment #AIDevelopment #FreelanceDeveloper #FullStackDeveloper #AppDevelopment #SaaS #Startup #DigitalProduct #Entrepreneur #RemoteDeveloper #Freelancing
webdevelopmentremotedeveloperdigitalproductdesignAI Application DevelopmentWeb DesignWeb DevelopmentHTML5PythonReact
I built a workflow that turns a business website into a testable AI phone receptionist.
The system analyzes the website, extracts services, staff, opening hours, policies, and other relevant information, then creates an isolated voice-agent demo for that business. Instead of sending a generic recording, we can provide a real phone number that allows the business to test the agent through an actual call.
When the website or scheduling system supports an integration, the agent can check availability and book appointments during the call. Otherwise, it safely captures the caller’s details and preferred time for staff follow-up.
If a business decides to continue after the demo, the same foundation can be expanded into a production receptionist with databases, customer-specific business rules, calendar and CRM integrations, confirmations, call summaries, analytics, and administrative controls.
The extracted information can also reveal gaps in the business website. Its content and structure can then be improved so both visitors and the AI receptionist receive clearer, more reliable information.
The main lesson I share is that website extraction alone is not enough. Information must be normalized, validated, and restricted to the source material before it can be used safely in a live voice conversation.
The demonstration uses a fictional dental clinic and real recordings from my working voice-agent system. No patient data, real customer information, or invented testimonials are included.
I used Descript to assemble and refine the presentation, edit the narration and real-call sections, create captions, and prepare the final submission.
