Prompt templates
These prompt templates were created inside a website project I worked on with a programmer. They show how I help shape backend prompt systems so the logic is clearer, more reusable, and easier to implement.
Implementation gallery
Developer-facing implementation shaping.
Examples of backend prompt-system collaboration, implementation notes, and GitHub handoff materials used to work with a programmer and their AI coding agent. Click any image to open it full screen.
AI course builder Epic
This is an Epic I wrote in GitHub for a programmer and Claude Code while developing an AI course builder. It shows how I translate product logic into implementation-ready instructions they can both work from.
GitHub Epic and issue handoff
Shows GitHub Epics and Issues created as part of a handoff to a programmer and Claude Code, helping make the scope and implementation path clearer for both human and AI coding work.
GitHub implementation support
Shows GitHub work used to support a programmer and Claude Code during execution, with implementation notes that reduce missed details and make the handoff easier to follow.
Structured technical collaboration
Shows GitHub collaboration organized around Epics and Issues so a programmer and Claude Code can work from the same implementation context more reliably.
Full Epic written in GitHub
This is a full Epic I wrote in GitHub for a programmer and Claude Code. It shows how I define scope, structure, copy, and implementation details so both the programmer and their AI coding agent can execute from the same plan.
Prompt chains
This shows prompt chains created inside the same website project as the prompt templates. It reflects how I work with a programmer to shape backend prompt systems that can then be implemented cleanly.