STEP 1
Generative AI for Business
Learn how generative AI works and where it can go wrong, and put it to work in writing, research, planning and other everyday tasks.
Corporate training and learning content in AI and data science
$ mainichi-ai-lab run --date 2026-10-31
→ Collecting AI news...
→ Exploring product ideas...
→ Building the MVP...✓
→ Published: #288 "米大手銀がAIエージェントを遮断、普及の壁は権限と監査" (opens the note article in a new tab)
$
Every morning, we build and test one product based on the latest developments in AI. We have built and measured more than 200 AI products so far, and feed what we learn back into our training and learning materials.
#288runs and counting
200+AI products
Practical training programs for companies, focused on AI and machine learning.
Example programs
STEP 1
Learn how generative AI works and where it can go wrong, and put it to work in writing, research, planning and other everyday tasks.
STEP 2
From aggregating and visualizing data to the basics of machine learning, learn with real data in Python.
STEP 3
Build AI agents that automate work, hands-on, using Claude Code and MCP.
Programs are tailored to your goals. Pricing is available on request.
We share our notes on the latest AI developments and product experiments on note, starting with the "Daily AI Lab." We also publish explainer articles that summarize what we found by actually building and testing.
We help organizations bring AI development in-house, so their teams can use AI well and build with it themselves. We advise on choosing technologies, how to run validation, and permission and operations design when introducing AI agents.