Neo Academy
Custom LMS for AI courses and certifications. The target stack is Django for the backend, Next.js for the frontend, and Razorpay for payments.
This plan translates the project guidelines into the first implementation slices for Neo Academy, the Neo agent harness, and the EpsilonDelta Tech documentation site.
Custom LMS for AI courses and certifications. The target stack is Django for the backend, Next.js for the frontend, and Razorpay for payments.
Progressive coding-agent harness for learning, experimentation, evaluation, replay, and production hardening.
Mobile-responsive public documentation for shipped features, APIs, deployment notes, business workflows, and agent handoff context.
Use this prompt when starting a focused worker or a new repository implementation:
Build Neo Academy as a resource-conscious AI certification LMS for EpsilonDelta Tech.
Use a Django backend, a Next.js frontend, and Razorpay payments.
Implement the first complete path: course catalog, course detail, enrollment, payment initiation, learner progress, certificate issuance, certificate verification, and an admin dashboard.
Keep Neo Academy separate from the Rust Neo agent harness and its documentation.
Document every API, environment variable, deployment step, and administrator workflow on the documentation site.
Target a small VPS first: 2 CPU cores, 8 GB RAM, and 100 GB disk.
Avoid embedded secrets, unnecessary Docker services, and broad refactors.
Prefer clear interfaces, low memory usage, mobile-responsive pages, and testable feature slices.
| Area | Temporary location | Target ownership | First stable interface |
|---|---|---|---|
| Academy MVP | website/academy/ for static prototype pages |
Private Neo Academy repository | Course, enrollment, payment, progress, certificate, and verification APIs |
| Agent harness | src/, crates/, examples/, and harness docs |
Current Neo harness repository | CLI commands, provider config, worker isolation, replay, and benchmark contracts |
| Documentation | website/docs/ |
Public EpsilonDelta Tech documentation site | Feature docs, API contracts, deployment notes, and validation commands |
Remove tracked secrets, document deployment environment variables, keep the static Academy prototype intact, and publish this implementation plan.
Create API contracts for courses, enrollment, payments, progress, certificate issuance, certificate verification, and admin analytics before scaffolding a private repository.
Implement the learner purchase-to-certificate workflow with mobile-responsive pages, low-resource deployment settings, and focused backend tests.
Turn the existing agent-harness docs and courses into guided exercises with replayable tasks, validation commands, and certificate checkpoints.