This week’s vlog is a bit different. It's more of a reflection.
Over the past few days, we’ve been thinking a lot about how we’re building our AI agents and, above all, how we communicate the real value they bring to the brands that use them.
The value of an agent isn’t always obvious at first glance, nor is it easy to explain in a single sentence. It’s not just about creating things with AI, but about how that AI is trained and focused to solve a very specific problem.
In the case of our agents, that value is especially noticeable in content creation. Nowadays, anyone can ask ChatGPT to generate a coherent text on a topic, and it will do a reasonably good job. But that’s where the key difference lies: ChatGPT is a generalist.
An agent, on the other hand, is specialized. It understands the patterns AI follows to search for information, its structure, and the key points that content must follow in order to be seen by an LLM.
This specialization is what differentiates the Omnia agent from a context-rich prompt given to ChatGPT.