A pattern I use in AI-assisted operations: define the task and its boundaries, let the tool draft or analyze, require human review before consequential changes, then verify the result and document what happened.
This helps with Linux, Docker, and API workflows too. Automation is most useful when the next person can understand and maintain it.
Where do you put the human approval step in your own workflows?
A new day, a new design to share! 📸
This time it is a photography challenge app that brings creativity and competition together through contests, voting, and gamification. What do you think of this one? ✨
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.
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?
Bringing an old hero section design back to the spotlight. ✨
A hero section is often the first thing people see when they visit a website, so it needs to do more than just look good. It should capture attention, communicate the brand's message, and guide visitors toward the next step.
For this concept, I focused on creating a clean layout, strong visual hierarchy, and a balanced composition that makes the content feel clear and engaging without overwhelming the viewer.
Looking back at older projects is always a good reminder of how much thought goes into the little details that make a design work.