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Most AI projects never make it past the demo.
I like building the part that comes after.
I build and ship AI-powered products, automations, and full-stack applications that people can actually use.
Recently I've been working on things like:
• AI-powered career and salary analysis
• Multi-step AI workflows and agents
• SaaS products with auth, payments, databases, and APIs
• AI integrations into real web applications
• Internal tools that automate repetitive workflows
My approach is pretty simple:
Idea → build → test → deploy → iterate.
If you have an AI product, automation, or web application you've been meaning to build, I'm open to taking it from idea to something usable.
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From packed boxes to a shipment the client can track.
This TechFoundry IMS demo reuses box details, retrieves UPS rates, creates shipping labels, and keeps tracking connected to the client order. A practical example of the AI and automation workflows we build into business software.
Watch the client shipping demo:
https://www.youtube.com/watch?v=8ohniU08JAA
#AI #Automation #SoftwareDevelopment #Shipping
I like that the shipment stays tied to the client order instead of living in a separate carrier tab. When box details get edited after the UPS rate is retrieved, does the system re-quote before creating the label, or lock the original rate? I'd be curious how you handle that mismatch on the tracking side.
We’re choosing the motion for an AI analytics product demo, and I can’t decide.
Both clips show the same flow. Someone asks a question in plain English. The agent checks permissions, plans the query, runs it past guardrails and builds the dashboard.
1. A walks you through each step as it happens.
2. B skips the steps and drops you straight onto the result.
A shows the work. B shows the speed. For a landing page I keep going back and forth.
Which one would make you trust the product more? Comment A or B, and tell me why.
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I think according to your query the output should consist on a list of clients with late invoices rather then showing charts etc,
AI Fashion Shopping & Outfit Recommendation Platform
Designed a modern AI-powered fashion shopping platform that helps users discover personalized outfits and shop smarter.
The concept combines AI-driven outfit recommendations, style matching, virtual outfit previews, and a personalized wardrobe experience in a clean, premium interface.
Nice work