Training

Skill is the multiplier.

Tools do not make people capable; practice does. Our programs teach practical AI work and the craft of software tools, in formats built around real application.

Live cohort

Waitlist

Working with AI: Foundations

4 weeks, part-time · Individuals and small teams

A practical grounding in using AI systems well: how they behave, where they fail, and how to direct them toward real work.

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Private workshop

On request

AI Implementation for Teams

1-2 days, on site or remote · Organizations

A working session for teams adopting AI: mapping workflows, picking tools, setting guardrails, and building the first real automations.

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01Method

How we teach.

The difference between a course that entertains and a course that changes how someone works is design. Ours are built backwards from the change.

Every program runs on the XanthosAI™ Method: six principles, working in concert, built around how memory actually behaves.

01

Short, focused lessons

Microlearning units that respect the limits of attention. One concept per session, no marathon lectures, no middle wasteland.

02

Mnemonic organization

Material structured into chunks and associations, so new ideas hook onto something you already know instead of falling through.

03

Spaced repetition

Review scheduled at expanding intervals, right at the edge of forgetting, where retrieval does its strongest work.

04

Active participation

Discussion, problem-solving, and teaching. You construct the knowledge instead of receiving it, which is why it stays.

05

Practical application

Every concept lands in a real task. Knowledge that is never used is knowledge that never sticks.

06

Pareto-based curriculum

We focus on the vital few: the fraction of the material that produces most of the results, and we go deep on it.

The measure of a course is not hours logged. It is what you can retrieve, explain, and use a month later, and that standard shapes everything we teach.

Looking for free material in the meantime? Our Insights section carries primers and field notes on software and practical AI.

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Next step

Build a program for your team.

Discuss a private workshop shaped around the work your team actually does. Formats and availability will be confirmed.