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Most AI apps don’t need more features. They need better workflows.
That’s what I wanted to explore with Launchly.
Instead of giving users another chat box, I built a workflow where multiple AI agents actually work together:
Research the company
Find relevant open roles
Generate a tailored application
The agents run in sequence, with results streamed in real time, then the user can export the final output as a PDF.
Built with FastAPI, React, CrewAI, and OpenAI.
The interesting part wasn’t making each agent work individually.
It was designing the handoffs between them, validating the information being passed through the workflow, and turning all of that into something that feels like an actual product.
That’s the kind of AI work I’m most interested in:
Not “here’s an AI demo.”
Here’s a system that actually does something useful.
I’m currently open to building AI products, automations, and agentic workflows for businesses.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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What does practical, agentic AI look like in a real business workflow?
Our new TechFoundry IMS case study walks through seven demos—from purchase-order intake and catalog conflict resolution to vendor orders, shipments, client shipping, and invoice reconciliation.
It shows how AI agents, document processing, and software integrations work together, with human review where judgment matters. I’ve also included the technology stack behind the platform.
Explore the case study:
https://contra.com/p/oWU3ssF3-tech-foundry-ims-ai-procurement-and-fulfillment-in-seven-demos
Building an agentic AI solution? Book a free initial consultation with me on Contra. We’d love to work with you.
#PracticalAI #AgenticAI #Automation #SoftwareDevelopment
Purchase-order intake and catalog conflict resolution feel like the right place to start with agents, since the pain is concrete. How do you handle the cases where the agent is unsure and a human has to step in?
Thinking about making a course on how I actually work with AI agents.
Not prompts.
The rules, skills and checks that make the agent build things the way my repo wants.
Would that be useful to anyone?
Yes please. The rules and checks part is what nobody teaches. Prompt tips are everywhere, repo setup isn't.
Feels like a lot of companies are trying their luck with AI instead of hiring designers right now.
I think it's going to backfire on them in a few months.
Trying to stay optimistic about it.
I can't wait for them to start hiring designers again. No matter how good AIs are, Human Intelligence will always supercede it.
