
From Crypto media and technology education
Michael Gu
@BoxminingAI
AI products, agents, and emerging technology
Read Michael's storyPractical AI tutorials
Turn messy notes into a useful update, build a small project, or make a repeated task easier. Start with one result and learn how to check it.

Learning paths
Try a short exercise with an assistant you already have, or choose a focused path with a concrete result.
Reviewed August 31, 2026The instructors
Our instructors came from crypto media, venture growth, editorial work, and fitness. They teach the workflows that held up when AI met the jobs they already knew.
Meet the full team
From Crypto media and technology education
@BoxminingAI
AI products, agents, and emerging technology
Read Michael's story
From Venture building and growth
@ekcheungAI
AI growth and agent workflows
Read Elvin's story
From SEO writing and technical explainers
Host of AlphaDrop
Research and editorial workflows
Read Ronal's story
From Fitness coaching and content
@martintrainhard
AI tools, automation, and independent work
Read Martin's storyTutorial library
Step-by-step guides grouped by the work they help you do. Open any tutorial directly or browse a complete topic collection.
View all 106 tutorials
Topic 01
Build a supervised AI coworker system one safe workflow at a time.
One Bot that can repeat a task you have checked yourself.

Topic 02
Set up one agent and teach it a task you can repeat.
A working agent, one reusable workflow, and a deliberate choice about scheduling it.

Topic 03
Pick the right model for the job without drowning in benchmarks.
A model choice supported by results from your own task.

Topic 04
Move from watching tools to shipping something useful.
A small local project with a written brief and checks someone else can repeat.

Topic 05
Go from one safe MCP scrape to a reviewed, repeatable data workflow.
A small public-page dataset with sources, missing values, and checked extraction.

Topic 06
Turn MiniMax Code into a supervised workflow that finishes useful work with evidence.
One small feature with a reviewed change and evidence that it works.

Topic 07
Build a supervised AI office workflow whose sources, changes, permissions, and results you can verify.
A useful document, a checked data summary, and a source-backed research note.

Topic 08
Add useful software one reviewed, reversible workflow at a time.
One tool configured for a problem you already have.
Model performance
Give models the same brief, open their real outputs side by side, and judge quality, reliability, and how much cleanup each result needs.


Open gallery →