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Lucy – This is an AI-powered assistant that provides coding support, real-time information, mobile and system control, web browsing, and automatic code execution and debugging in one platform.
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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I Built "My Perfect Interior" an Interior Design company website.
This website combines a premium, editorial design experience with AI-powered room visualization. Visitors upload a photo of their empty room, describe their vision, and receive a generated design concept. Each submission is automatically saved to a studio dashboard with the client's email, original photo, generated concept, and design brief.
This addresses a key challenge in interior design: translating a client's imagination into something a designer can understand and act on. By automating early-stage visualization and enquiry collection, the platform helps interior design businesses understand client needs faster, reduce repetitive consultations, and turn ideas into actionable project leads—all within a beautifully designed, responsive experience.
Solving the imagination translation problem is the smart move here, Charles. Letting visitors upload a room photo and get back a generated design concept turns the early consultation into something genuinely productive, and saving every brief to the studio dashboard makes the whole flow work like a real business.
I built FlowPilot AI ⚡ — an AI-powered operations platform that transforms customer requests into intelligent workflows.
From AI-powered request analysis and smart prioritization to conditional automation and human approval, FlowPilot helps small businesses streamline operations and reduce repetitive work.
Built with @Base44 for the #Base44Challenge
There's a lot to appreciate in this piece. Great job!
why every #AI engineer needs #Pydantic:
LLMs don’t return data. They return text that looks like data, most of the time. And “most of the time” is how production systems break.
I made a 6-minute video on why Pydantic is the one library every AI engineer should know:
→ One class does three jobs: it tells the model what to produce, validates what comes back, and powers autocomplete
→ Your function signature becomes the tool definition
→ Validation errors become feedback the model can fix itself
→ It’s already in your stack (OpenAI, Anthropic, LangChain, FastAPI…)
Plus a quick look at Pydantic AI, which runs that whole loop for you.
Prompts are suggestions. Schemas are contracts. 🎯