Emerging Technology Creation Agent
A completed course project in GitHub. Not deployed.
A specialist that maps how an emerging technology is assembled from enabling inventions and tests a concrete application and organization fit.
- Why
- I needed a disciplined account of what made agentic customer-service workflows possible, beyond the marketing label.
How I built it
- I cloned the course scaffold into a GitHub repository.
- I specialized the creation agent for agentic AI applied to e-commerce customer service.
- I examined LLMs, retrieval, tool calling, orchestration, memory and guardrails.
- I validated outputs and preserved what still depended on integration quality and bounded workflows.
- To copy it you need
- Start with one exact workflow, such as changing an order, and list its enabling components and missing integrations.
Try it yourself
Copy this prompt and paste it into ChatGPT or Claude to try it yourself.
I want to build a small version of Jovan Diaz's Emerging Technology Creation Agent from his What Are We Building? profile. It is a course project, so treat it as a study exercise. It maps how an emerging technology is assembled from enabling inventions, then tests one concrete application. His example was agentic AI for e-commerce customer service, looking at language models, retrieval, tool calling, orchestration, memory and guardrails. His gotcha: a plausible design doesn't show that a retailer has production-ready integrations. Start with one exact workflow, such as changing an order. Ask me which technology I want to take apart, then list the components it depends on and what is still missing. Ask me for anything you need.
Tools I used for this project
ChatGPT: I used ChatGPT to draft, test, critique or work through the workflow.
Codex: I used Codex to help build or revise repository files and tests.
Python: I used Python scripts or validation tools to process and check structured outputs.
GitHub: GitHub holds all of my repositories: code, instructions, changes and review history.
