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AI-Driven Airtable Data Analyst with n8n & OpenAI
An intelligent Airtable automation system powered by n8n, LangChain, and OpenAI GPT-4 that lets businesses query, analyze, and visualize their Airtable data using natural language.
The agent automatically builds complex Airtable formulas, performs real-time calculations, and generates dynamic charts and images, enabling faster decision-making and data-driven insights without manual work.
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 just added up my Lovable spend.
$5,600+ invested in learning how to build AI-powered systems properly.
That investment has translated into real client work:
• Production websites
• Integrated backend systems
• Stripe subscriptions & checkouts
• AI video, voice & transcription workflows
• A live iOS app in the App Store
Most AI projects don’t fail because of the AI.
They fail because the architecture underneath it isn’t solid.
I specialize in building integrated platforms — not experiments.
If that’s what you need, let’s talk.
This is the kind of post I love seeing.
So many people talk about AI like it’s magic, but the real work is the structure underneath. Tools don’t fail, weak foundations do.
Respect for putting real money and time into learning it properly and turning it into actual client work, not just experiments. Well-done, Mathias.
Ai Product Listing.
Designed an AI-based all-in-one eCommerce platform that allows sellers to create product listings once and publish them across multiple marketplaces. The platform uses AI to generate SEO-optimized titles and descriptions from images or barcodes, helping businesses save time, reduce manual work, and scale faster.
Focused on a clean, conversion-driven UI, smooth onboarding, and an intuitive multi-platform publishing workflow.
Good work
Are you still managing tools… or building systems?
I’ve been consolidating my early-stage process inside @FLORA - exploration, concepting, prompt development, and visual creation all in one place.
Flora isn’t just an image generator - it’s an intelligent, node-based canvas where I can connect AI text generation (via ChatGPT) directly to image and video models inside the same workspace. No jumping between tabs.
What that looks like in practice:
• Explore text, image, and video models in one place
• Connect a text node directly to image/video nodes to generate + iterate instantly
• Refine prompts, edit visuals, swap elements, build scenes layer by layer.
The shift?
Centralizing AI doesn’t just save time - it protects creative momentum.
Check out my Ai workflow below:
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