AI-Lab Space
24 October 2026 / 4 min read

Behind the scenes: my AI agent prepares content, Roberts approves

How my AI agent Jarvis prepares video and social media posts and publishes them, while a human approves every single publication.

AI agentssocial mediacontent automationbehind the scenes
Content flow from idea to publication with an approval button pressed by a human

The problem: content eats time, but you can't do without it

Most companies know they need to be visible on social media. The problem isn't the desire itself, but the day-to-day reality. You have an idea, but it has to be turned into text. The text needs a video or an image. The video has to be prepared, adapted to the format and given a caption. Then all of it must be published in several places, and regularly, not once a month when an evening happens to be free.

The result is familiar: content appears in bursts. For two weeks everything is going well, then a month passes in silence because the team has more important work to do.

The other extreme is to hand everything over to automation and let it publish on its own. That is fast, but risky: one inaccurate phrase, a wrong fact or an unsuitable tone, and it is already public under the company's name.

What it looks like in a company

A typical process without automation looks like this:

  • an idea comes up in a conversation or a meeting and stays in someone's head or notes;
  • later, someone tries to remember what exactly they wanted to say;
  • the text is written from scratch, often in a hurry;
  • the video or image is prepared separately, in a different program;
  • publishing is done by hand, on each platform separately;
  • in the end, nobody knows exactly what has already been published and what is still waiting.

Each step on its own is not difficult. The problem is how many there are and the need to switch between them. It is this switching that takes time and energy.

The solution: the agent prepares, the human decides

My AI agent Jarvis works on a simple principle: he does all the preparation work, but the final decision is made by a human. In our case that is Roberts, and only he presses the publish button.

The flow has four steps, and you can also see it in the screenshot:

  1. Idea. The topic is recorded in one place. It can come from a conversation, a question clients ask often, or a new workflow worth showing.
  2. Draft. Jarvis prepares the text of the post and, if needed, the video material too. Everything arrives for approval as a finished version, not as a vague note.
  3. Approval. Roberts reviews what has been prepared. He can approve it, edit it or reject it. Nothing moves forward without his action.
  4. Publishing. After approval, Jarvis publishes it himself, so there is no need to open each platform separately.

The third step is the most important. It is a deliberate stopping point, not a formality. Automation takes over the routine, but responsibility for what is said on the company's behalf stays with a person.

Why not full automation

AI can write text that sounds convincing but is still not completely accurate. It may not sense the context of a situation: what the company doesn't want to say right now, which topic is better to wait on, what clients might find awkward. A human knows this context. That is why approval is not a bottleneck, but a quality gate.

What it delivers

Instead of a person doing everything from scratch, they do what they add the most value in: assessing and deciding.

  • Less switching. Roberts doesn't write every text from a blank page and doesn't publish by hand in every place.
  • Regularity. Content doesn't depend on whether someone has a free evening this week.
  • Control. Nothing appears publicly without human approval.
  • Transparency. Every post is at one of the four stages, and it is immediately clear what is waiting for a decision.
  • Consistent tone. Drafts can be created following the same approach, and a person adjusts them if needed.

I won't name exact savings here, because they depend on your content volume and process. It is more valuable to observe for yourself where most of the time currently goes.

Where to start

You don't need to build the whole system at once. You can start with a few simple steps:

  • Write down your current flow. From idea to publication, step by step, as it really is, not as it should be.
  • Find the step that repeats. That is where automation will give the quickest relief.
  • Appoint an approver. Decide who in the company presses the button and by what criteria they check the content.
  • Start with one channel. Once it works, add the next ones.
  • Start with drafts. Automate publishing only when the approval stage is stable.

This way you gain speed without losing control over what the company says publicly.

Which content step takes you the most time: the idea, the text, the video or publishing?

Does your company have a similar process?

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