AI Onboarding Kit

Set up the tools, learn the concepts, and build one thing well — a kit you run once and pass on to your team.

This kit gets one lead at Edventure comfortable with three AI platforms and the ideas behind them, then that lead trains colleagues and interns from the same materials. That’s the whole model: train the trainer.

The three tracks

Three independent platforms you can explore in any order. They reinforce each other but install differently.

TRACK 1

Hermes
A self-improving agent with persistent memory, in a browser dashboard. Runs on Ollama Cloud — no GPU needed. → start here

TRACK 2

Claude Code
Claude in browser VS Code — the everyday driver for spec-driven building. → runbook

TRACK 3

The LaTeX project
A working starter app you extend yourself: a maths prompt → a typeset image. → the build

Your running services

You’re reading this because the kit is already up. These are live — open any of them:

TRACK 1

Hermes dashboard
hermes.konomondo.org · log in trainee/hermes
Skills, profiles, memory, tools, cron.

TRACK 2 & 3

VS Code + Claude Code
aiworkspace.konomondo.org
Browser IDE — run clone-projects to fetch latex-starter + hermes.

TRACK 3

LaTeX app
inside VS Code
The running starter — open it from the Ports panel after npm run dev.

LESSONS

This onboarding site
ai.konomondo.org
Where you are now.

Deploying, updating, or restarting the kit (via Portainer) is covered in the repo README — the ops side a lead handles, not something you run from here.

What success looks like

You can install all three platforms, explain skills / profiles / memory / spec-driven development in your own words, run the LaTeX starter and see an image, and walk a colleague through the same path.