I believe you can eventually give an AI employee any task. But it is better to start with the simplest work and move towards the more complex. Many people try to delegate a large workload immediately, without checking the steps in between. In practice, a system needs careful configuration before it can handle the work
Start with routine tasks that have clear inputs and do not require complex reasoning. Then you can develop the system and gradually trust it with harder parts of the job. Like a new human employee, an AI employee needs time for training, adaptation and testing. Only then can you hand over individual tasks completely
Start with a clear task
Take my content factory. It is a team of AI agents in Telegram that helps me work on posts. One task is monitoring the news: the factory receives material from 13 sources, filters out duplicates and highlights interesting topics
To begin with, it helps to separate collecting information from deciding what to do with it. When the task is simply "find everything important", it is unclear where to get the data and how to check the result. With sources specified in advance, you can inspect what arrived, where it came from and whether it repeats something already shown
Even at this stage, check not only what the system brought back, but also what it missed. If two different news items were wrongly treated as duplicates, the filtering rules need work. If a source is absent from the inputs, you cannot expect the employee to read it on its own
Move to more complex work
Once the input material is usable, the next task is harder: prepare a post in the author's voice, check its facts and add an image. Simply transferring data from a source is not enough. The meaning of the news must stay intact while the text sounds like me
In the content factory, this work is divided into stages. First a topic is selected, then the text is prepared. Facts are checked against sources, an image is added, and the result comes to me for review. I can see both the topic and exactly what is proposed for publication
Each stage has its own question to check. Is the topic a good fit? Does the text preserve the source's meaning? Do the numbers and names match? Does the image fit the material? When something is doubtful, correct the specific part rather than just asking the AI to "make it better". Otherwise, it is hard to know whether the error was fixed or another one appeared
In my process, work on a post that used to take about an hour has been reduced to roughly 5 minutes to a finished preview. That is a result for my process, not a guarantee that every task will take the same time. The time depends on how clearly the system is configured and what it has been asked to produce
Keep the final decision with a person
A finished preview is not permission to publish. I can read the text, check the image and ask for changes. The post goes out only after my "yes". The factory has published 84 posts, and none went out without my approval
The work with corrections continues after publication. Since October 28, the factory has compared my edits with the channel rules and added to those rules to avoid repeating a mistake. This does not mean human review is no longer needed. A rule may help the next text, but the finished post still needs to be reviewed before publication
The same approach applies to other business tasks. First define what data the employee receives and what it must return. Check the result on a clear example, fix the problem you find and only then add the next part of the work. If an error affects customers, money or access, decide in advance who approves the action
My AI employee page shows the functions that can be combined in such a system. Do not assume an AI employee is smarter than a human employee straight after launch. That mistake can lead to failure, wasted time and frustration. Configure and test it on work you can check, then expand its responsibilities