For years, I outsourced parts of running HACOY to external services. It was convenient but lacked a personal touch. Then, I started building small local AI agents. These models live on my servers in Italy or Lithuania. They handle tasks like customer inquiries and inventory tracking. The shift has been subtle yet profound. For instance, the agent that manages our social media posts understands the nuances of HACOY's voice better than any external service could. It even learned to mimic my writing style, which is a bit unconventional at times. I often find myself smiling when I read its drafts, as if it’s channeling my own thoughts.
The agents don’t just automate tasks; they also allow me more time for painting and writing about non linear thinking. They handle the minutiae of running a brand so that I can focus on creative work. There’s something satisfying in seeing these local models evolve. One agent even started suggesting color palettes for new collections based on trends it identified from our social media data.
The agents are not perfect, but they are improving daily. For example, one misidentified a fabric as wool when it was actually linen. I corrected the mistake and added a note to its learning algorithm. It won't make that error again. This iterative process is fascinating. Each correction feels like a small step forward in creating something truly unique.
The transition hasn’t been without challenges. There were moments of frustration, especially when an agent misunderstood a complex task or made a silly mistake. But these instances are becoming rarer. As I continue to refine the agents, they become more efficient and reliable. It’s a constant learning curve, much like my journey with HACOY and non linear thinking.