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Most "AI features" clients ask for aren't hard to build. What's hard is making them not feel bolted on.
I've seen plenty of products where the AI feature works in a demo, then breaks the moment real users touch it — costs spiral, responses drift off-topic, or the UI just feels like a chatbot glued onto the side of an app that was never designed for it.
The real work is upstream of the AI call itself: picking the right retrieval approach, capping cost with caching and rate limits, and designing the UI so the feature feels native — not like three tools duct-taped together.
That's the gap I fill. I'm frontend-first, but I own the backend and AI wiring too — so what you get is one coherent product, not a patchwork of contractors who never talked to each other.
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Designed a modern AI Healthcare Mobile App.
Clean and soft UI with health report overview, vital metrics tracking, intelligent AI assistant chat, and easy doctor booking experience.
AI did not make great developers obsolete.
It made average execution cheap.
Anyone can now generate:
• A landing page
• A dashboard
• An API
• A mobile app
• 5,000 lines of code before lunch
But here is what AI still cannot decide for you:
- Should this feature exist?
- Will a real customer understand it?
- Is the experience fast, trustworthy, and accessible?
- Can the system survive its first 10,000 users?
- Will another developer understand the code six months later?
The value of a developer is no longer measured by how quickly they can type code.
It is measured by the quality of the decisions they make before, during, and after the code is written.
AI can help you build almost anything.
Taste tells you what is worth building.
Engineering judgment makes sure it actually works.
The developers who win this decade will not compete against AI.
They will combine AI speed with the product thinking, creativity, and technical depth that AI cannot replace.
What is one skill you believe becomes MORE valuable as AI gets better?
#FullStackDevelopment #AI #CreativeAIFlow #WebDevelopment #ProductEngineering #BuildInPublic
Writing good acceptance criteria. AI can turn a loose prompt into a lot of plausible code fast, so I spend more time defining success before the build and proving it afterward.
As a Product Designer and Web Developer working across WordPress, Shopify, and Framer, I've learned that AI is only as good as the person guiding it.
Today, AI helps me bring website ideas to life faster through tools like Lovable and Bolt. But my foundation remains the same: product design, user experience, and years of building with WordPress, Shopify, and Framer.
The tools have changed.
Good design hasn't.
That's why tools like Lovable and Bolt feel less like shortcuts and more like creative partners.
Good prompts can generate a website.
Good design creates an experience.
This project is what happens when both come together.
https://tag-residences.lovable.app/ i attached the link to the website, you can preview and tell me what you think.
I am Francis Favour, a Product Designer, and WordPress Developer based in Lagos, Nigeria. I help SaaS startups, fintech companies, healthcare businesses, agencies, coaches, and growing brands create user-centered products and high-converting websites. With 3+ years of experience, I have built 12+ websites, designed 10+ landing pages, helped 8 businesses launch online, improved conversion rates, increased user retention, and optimized user experiences using Figma, WordPress, Elementor, Framer, WooCommerce, and Custom Plugin Development. {francisfahvie}
