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Transform Your Business with Custom AI Agents & Automation
"Is your business ready for the AI era? At BYV, we don't just build software; we engineer intelligence. We help companies integrate custom AI models, Autonomous Agents, and Enterprise RAG systems to streamline workflows and boost productivity.
From garment factories to high-end restaurants, we build AI-driven solutions tailored to your unique data.
🚀 What we offer:
Custom AI Model Integration
Autonomous Business Agents
Intelligent Data Infrastructure
Let’s turn your vision into an AI-native infrastructure. Drop a message for a free strategy session! 📩"
BYV : https://byvbd.com
byvbd.com
BYV — Where Vision Becomes Infrastructure
Enterprise-grade software and intelligent automation. Custom AI models, autonomous agents, RAG pipelines, and digital infrastructure at scale.
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How do you keep a brand's promise of calm intact once real users start clicking through checkout?
Mudita builds minimalist devices around one idea: technology that harmonizes with your life instead of competing for your attention. The brandbook lays that promise out in detail - tone, restraint, what the brand should never feel like. My job was carrying that same discipline into the product itself.
I worked across the checkout flow, the storefront and category browsing, and the product page above the fold - three surfaces where small frictions had quietly built up against the brand's own case for calm. The brandbook gave the rules. The UI work was making sure those rules survived contact with a real cart and a real user.
For the case study visuals, I used AI for the first time to produce product footage 🤖 - wind moving through a scene, an object drifting in place. Higgsfield was genuinely a good way to learn that workflow fast.
Full case study - actual before/after breakdowns - is up on Behance 🔗, linked below.
Genuinely curious where people land on this: generating production assets with AI is fast, and honestly kind of fun as a workflow - but there's real pushback that it's taking work away from people who used to shoot this stuff. Where do you fall on that?
The checkout flow detail is what stands out to me, that's usually where a brand's calm promise turns into three different button behaviors fighting each other. On your AI question, I think it matters less whether it's fast and more who's checking the output against the brand's...
I recently built this workflow in n8n to automate the first stage of handling customer support requests.
The idea was to take an incoming ticket and let the system handle the repetitive work:
→ Receive the customer request through a webhook
→ Process and structure the incoming data
→ Use an AI Agent to understand the ticket
→ Classify it as Genuine, Spam, or Unclear
→ Route it based on the classification
→ Trigger the appropriate email action
→ Log the interaction in Google Sheets
I also added an Unclear path so that tickets the AI isn’t confident about don’t get blindly processed.
The goal isn’t to remove humans from customer support.
It’s to reduce the repetitive sorting and routing work, so the team can spend more time on the requests that actually need their attention.
Would you automate customer support differently? I’d love to hear how you’d approach it.
The Unclear lane is exactly the right guardrail. I’d add two production checks: redact PII before sending ticket text to the model, and measure false-positive/false-negative rates by category rather than a single accuracy score. Logging resolutions and human overrides back into...
Created AI Agent: This agent is useful for all business needs if you are running a local shop to a big enterprise business. This AI Agent will help you to solve your daily business operational needs.
Frontend using Framer Design and Backend Using Node.js (Claude.ai, Open AI)
What are your thoughts?
Great concept! Combining Framer with Node.js and AI models creates a strong foundation for building practical business automation. 🚀