To build an AI content factory, I start by looking at what we want to systematize. You can automate content completely, but the quality will be shit. Our job is to remove routine work without excluding people: only a person can properly judge the quality of content
How my content factory works
My factory has two main work topics in a private Telegram group: "Ideas" and "Posts". The first is where we choose what to write about; the second holds material ready for review. The owner's account reads selected Telegram channels. The program turns news into cards and filters out ads and repeats. A person can also write an idea in the group manually
Each card has "Interested" and "Skip" buttons. After choosing a topic, the person selects a channel and platforms, then decides whether to add a comment, proceed without one, or use the material as it is. A news item does not automatically become a post in my name
What Python does and what the model does
The program and the model have different jobs. Python watches messages, displays buttons, passes the selected task along, saves its state, and sends approved text for publication. The model receives the source, the rules for the selected channel, and the author's comment if there is one. It then researches facts, writes a draft, and checks those facts
Each channel has its own instruction with its voice, subjects, constraints, and examples. This matters when one system serves several channels: the news may be the same, but the audience and presentation differ. An instruction does not guarantee accuracy. That is why the process includes fact-checking and a person still sees the draft
Inside the system, every request to the model has an identifier. The response ends with the same identifier. This helps the program match the answer to the task instead of taking a response to another job when several are being handled
Where the person decides
The draft arrives in "Posts" with buttons to "Publish", mark it as an "Example", "Rewrite", provide an image or video, or "Cancel". A person can read it, send it back for a rewrite, replace the media, or drop it. A successful published post can be saved as an example for the channel
The factory does not publish the post until someone presses "Publish". After approval, the main post goes to Telegram, while separate drafts with their own publish buttons are prepared for the other selected platforms. A person still needs to review each draft and decide whether to release it
Why not copy the same post everywhere?
My factory's configuration sets a 2,200-character limit for Instagram, 500 for Threads, and 280 for X by default. The limit can be changed for an individual channel. These are settings in my system, not promises of reach or universal limits for every account
After the main post, the system prepares versions for the selected platforms using the configured lengths. A short version should not cut an idea off halfway through. A person checks whether the meaning survived and then decides what to send
What you need for your own system
Start with three things: a list of sources, a description of the audience, and a few of your own texts that work as examples. Then decide who selects topics and who gives permission to publish. Without those decisions, automation can quickly produce material nobody has taken responsibility for
Once it is built, take one topic through the entire process. Did the card appear? Did the comment reach the writer? Did the draft arrive, and does cancellation actually stop publication? I build content factories around that division of work: the program moves the task between stages, the model handles the content, and a person chooses and approves the result