Last time I talked about automations that died.
But what actually survived?
Here are three things that really work. Still do.
The simplest one of all.
I send it an English text. It takes it and puts it into a table. Counts the words. That’s it.
No AI, no magic. Just an archive of what I wrote.
From time to time I open the table, reread the texts, and notice my own mistakes by myself, without a teacher.
I try to write at least 500 words a day.
It works precisely because the bot does not try to be smart. It just makes sure I do not lose what I wrote.
It takes RSS feeds from Google Alerts based on specific keywords.
AI looks at every piece of news and decides whether it is relevant or not. Relevant ones go into a table.
When enough items accumulate, it takes the headlines and scores each one on a 10-point scale based on how useful it is for our channel.
The result is a list with ratings.
I open it, look at everything above 7, and start reading.
No human is needed in this chain. The bot runs on its own.
A robot monitors hundreds of channels by keywords and collects everything I need in one place.
I use it for three things:
It sounds complicated, but in reality it is just a filter instead of scrolling through everything myself.
They do not try to do anything complex for me.
They remove the mechanical part: collect, store, filter.
The thinking still stays with me.
Maybe that is exactly the boundary between things that survive and things that die.
If you need workflow architecture, AI automation, or API integrations for real business use, the fastest path is to hire me on Upwork.
