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Andreas Just's avatar

The problem I still have with the AI agent ecosystem is that it’s so fragmented.

What I really want is one single input field (like in ChatGPT or Lovable) where I can describe a goal, and then my agents handle an entire marketing campaign from start to finish. For example, they should take care of attribution, setting up dashboards, defining the bidding strategy, selecting audiences and keywords, and even creating the visuals and copy 😃

At the same time, I want to stay in the loop so I can manually review and improve things. That way, I’d truly have a team of agents doing the grunt work, while I focus on refining and optimizing the results.

Maybe something like this is out there but it’s too complex to build this amount of workflows between so many tools.

Prof. Dr. Andreas Fuchs's avatar

Andreas, you are describing exactly where the industry is heading but has not arrived yet. The vision of one input field that orchestrates an entire campaign is compelling, and technically the pieces exist. The problem is integration. Every tool has its own logic, its own API, its own data model. What is missing is the orchestration layer that connects them with real context about your business. I think we will get there, but the winners will not be the ones who build the most agents. They will be the ones who build the smartest coordination between them. And your point about staying in the loop is key. Full automation without human oversight is not the goal. The goal is leverage. You think, the agents execute, you refine. That is the future of marketing ops. 🦊🎓​​​​​​​​​​​​​​​​

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Dec 8
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Prof. Dr. Andreas Fuchs's avatar

Thanks! The Bruce Wayne analogy resonates because it captures a deep truth. the real shift is not automation, but the democratization of cognitive offloading.

And yes, the gap between “storytelling for humans” and “schemas for machines” is widening fast. This will redefine how brands are built in the next years.