A guided path from first sign-in to building your own agents, with a certificate at the end. Designed so your team can run the platform without needing us.
Work email only. We store your email address and your progress — nothing else.
How the platform changes the way you solve JDE problems, what it can and cannot do, and how to find your way around it.
4 lessons
The built-in JDE specialists: how to ask, how to read the answer, and how to check it.
5 lessons
Chat helpers you create yourself, with no coding. Build one end to end.
4 lessons
Multi-step workflows that can run unattended, and the guardrails that make that safe.
5 lessons
Teaching the platform your rules once, so every expert and agent follows them. The route to running it yourself.
4 lessons
Find the joyless work in your week and hand it to something that does not mind doing it.
5 lessons
Designing an agent that survives contact with real documents, real data and real edge cases.
8 lessons
Taking the decisions that must be exactly right away from the model and putting them in code you can read.
7 lessons
Day two onwards: watching, retraining, handling incidents, and retiring agents that have stopped earning their keep.
6 lessons
Build a support inbox that answers under each sender's own JDE security, step by step, with the traps named.
6 lessons
Running the platform: connections, identity, models, the knowledge base and monitoring. A separate certificate.
5 lessons
Connecting another system to the platform, and building agents and their logic from outside the browser.
5 lessons
What MCP is, and the platform as the back end for the AI you already use: ask it, run it and trust it from your own Claude, not only from the website.
7 lessons
What the semantic layer and ontology are, how they shape every answer, how to switch them on, and how to teach them your organisation's language.
5 lessons