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A wholesale business was managing stock, customer ledgers, and profitability across disconnected spreadsheets. I built a production inventory and accounting system that now supports its daily operations, then added an agentic AI assistant for natural-language business intelligence.
I developed a custom MCP server that gives Claude secure access to the live database. The owner can ask about stock levels, sales trends, customer balances, or profit by product and receive answers grounded in actual business data, without manually building reports.
The system includes the complete order and inventory lifecycle, transaction ledgers, automated financial reporting, and a Claude-powered AI assistant connected through MCP. It brings operations, financial data, and real-time insights into one practical business platform.
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Why are AI and SaaS such a powerful combination?
AI can make a SaaS product much more useful by taking care of tasks that normally require manual work.
Some common examples:
Automating repetitive workflows
Using data to support better decisions
Personalizing the user experience
Improving security and detecting unusual activity
The key is not simply adding AI to a SaaS product. It’s about using AI where it can make the product faster, smarter, and easier to use.
Super cool work man! 💯
Built a 3D model viewer inside @Rive .
Not a plugin, not an embed — an actual glTF renderer running on @Rive 's GPU Canvas, written in Luau and WGSL, living inside the .riv file.
Drop in a .glb and it loads, lights, animates and orbits. Every control is a data-bound property, so the whole scene is drivable from a state machine, a timeline, or app code. Nothing is hardcoded to one model.
What's in it:
• glTF parsing written from scratch — Luau has no JSON library, so the decoder is hand-rolled
• PBR shading (Cook-Torrance GGX) with key/fill/rim lighting
• Skeletal skinning, 128-joint palette
• Rigid node animation with full keyframe interpolation
• Orbit camera with per-axis locks
• Auto-fit, so any model frames correctly regardless of authored scale
• ~40 data-bound properties: camera, transform, material, animation
Most of it was built by driving the Rive editor over its MCP server with Claude Code — scripted, not clicked.
Runtime support is nearly there. GPU Canvas landed in the web runtime last week. A couple of scripting APIs still need to follow before this can ship to a live site.
Here is the Github Repo for Instructions: https://lnkd.in/dAMXQJBR
the 3D viewer is so cool. nice work!