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.

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?