Day with AIMarch 26, 2026· 6 min read
Day with AI: AI Course Knowledge Base, 10 Automations, and Docs for Normal People. 34 Hours of Work.
Built a knowledge base for a 67-lesson AI image and video course, reorganized n8n automations, and wrote documentation for people without a tech background. Mammoth session.

What I worked on
Thursday. This was one of those days where I sat down in the morning and basically didn't get up until the next day. 34 hours of tracked work.
What I did
Knowledge base for AI course67 lessons on AI images and videos needed a structured foundation:
- Wrote out the full course content into a clean knowledge base
- Created AI agents and skills specifically for image and video generation
- Documented workflows for AI influencer reel production — the full pipeline from idea to finished video
10+ automations got a new structure:
- Lead pipeline reconnected and tested
- 1-click approve workflow for draft approvals
- Clear README for every automation — written so someone who has never seen n8n can follow it
This was surprisingly the hardest part. Writing a technical description that makes sense without a tech background requires more thinking than the implementation itself.
Time: AI vs without AI
| Task | Without AI | With AI |
|---|
| Knowledge base (67 lessons) | 2-3 days | ~12h |
|---|---|---|
| AI agents + skills | 1 day | ~6h |
| n8n reorganization + README | 2 days | ~10h |
| Reel production pipeline | 1 day | ~6h |
| Total | 4-5 days | ~34h |
What I learned
- Building a knowledge base forces you to actually understand what you know — if you can't explain it, you don't really know it
- Writing documentation for non-technical people is harder than writing the code itself — you have to stop assuming what the reader knows
- 34 hours in one session is a lot. But the result is a real product, not just another TODO
#den-s-ai#ai-content#knowledge-base#n8n#kurz#automatizace
Interested in the article?
Let's discuss what this kind of automation can do in your company.
Free consultation