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Unpopular opinion: .NET is one of the best stacks for building AI products in 2026 — and almost nobody talks about it.
Python gets all the hype. Fair, for research. But for AI features living inside real business systems — billing, auth, multi-tenant data — C# and .NET are quietly excellent: Semantic Kernel, strong typing that catches LLM-integration bugs early, and first-class Azure OpenAI support.
I've shipped autonomous AI agents in .NET 8 with the Claude API, Hangfire, and GraphQL. The "you can't do AI in .NET" take is just out of date.
Python or .NET for production AI — where do you land?
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Premium Websites, AI Automation & Digital Systems — My Portfolio
Love the vibe of this!
Project Overview
Fatima Lane is a contemporary women’s fashion ecommerce experience designed around a clean, editorial visual style. The project focused on creating a premium shopping experience that feels simple, elegant and easy to navigate across the complete customer journey.
The Challenge
The goal was to create an online fashion store that could present products in a premium way without making the shopping experience complicated. The website needed clear product discovery, detailed product pages, wishlist and account functionality, while maintaining a consistent fashion-led visual identity.
The Solution
I designed and developed a responsive ecommerce experience with a strong focus on product presentation, navigation and usability. The interface combines editorial layouts with practical shopping functionality, including product collections, quick product access, product details, wishlist, customer account areas and order-related workflows.
Key Features
Product collections and new arrivals, detailed product pages, product variants, wishlist, cart flow, customer account area, order tracking, saved addresses, profile management, responsive layouts and structured footer/navigation.
Beautiful balance of editorial style and usability. The shopping experience feels premium without becoming complicated.
You probably don’t need more AI tools. You need the right AI stack.
One of the biggest mistakes I see businesses making with AI is collecting tools without building a system around them.
A new AI app appears → we try it.
Another one looks better → we subscribe.
A month later, we have 12 tools, 7 subscriptions… and half of them barely talk to each other. 😅
So I created this simple AI Stack for Small Business in 2026 — organized by what you actually need to get done:
AI assistants.
CRM & sales.
Automation.
Meetings.
Content.
Research.
Outreach.
Reporting.
The goal isn’t to use everything on this list.
Start with 3–5 tools that solve real bottlenecks in your business. Then connect them into workflows.
For many small businesses, a simple stack like:
AI → CRM → Automation → Communication → Reporting
can already eliminate hours of repetitive work every week.
I’m starting a new series of practical AI & Automation Cheat Sheets — no hype, just useful tools, workflows and shortcuts you can actually apply.
Save this one for later.
What should I break down next:
ChatGPT vs Claude vs Gemini or Zapier vs Make vs n8n?
— Vera Babaeva
Marketing Operations · CRM · AI & Automation
#ArtificialIntelligence #AIAutomation #SmallBusiness #MarketingOperations #CRM #BusinessAutomation #AItools
