Generative AI tools are becoming more popular every day. They can create text, images, videos, or even music by learning patterns from massive datasets. Some well-known examples are ChatGPT for text generation, DALL·E 3 for images, and Synthesis for videos with AI avatars. These tools are now used by almost everyone – from students and entrepreneurs to big corporations.
For a startup, it can be very expensive to outsource work to third-party companies for automation, content generation, or process optimization. As a young entrepreneur, I wanted to use this opportunity to grow my company most effectively. Currently, managing requests quickly is critical. If we take too long to reply, potential clients might turn to competitors. This is why I recently decided to build an AI agent for customer support.
The setup only took a few days. At first, I was disappointed because the answers from the AI were very biased and didn’t sound professional. I even thought about stopping the project and continuing to handle requests manually. But after a few more days of training, the AI became much better. I was impressed by how natural and human-like the responses started to sound.
Since implementing the AI, I can now focus on more important tasks such as improving the moving process and making it as hassle-free as possible. The AI takes care of responding quickly to clients, while I concentrate on growing the business.
This experience showed me that AI is not just a trend, but a real tool that can help entrepreneurs save time and work smarter. For a start-up, it means faster replies, happier clients, and more time to innovate.
Growing the startup with GenAI tools
1
October
2025
That’s a fascinating illustration of how generative AI can assist startups in tangible ways. I appreciate that you pointed out the initial difficulties (bias, unprofessional tone) and the subsequent enhancements following additional training. It demonstrates that utilizing AI isn’t merely a matter of “plug and play,” but demands patience and adjustments to align with your business requirements.
Your situation also reminds me of the significance of response time in customer support. Customers anticipate rapid responses, and AI appears to be the ideal answer for this. I am curious about your opinion on managing scenarios where the AI might provide incorrect information (hallucinations) or misinterpret the client’s request. Do you think monitoring all discussions is necessary or should the customer be more proactive about this?
In general, I agree with your viewpoint that AI goes beyond being just a trend. Particularly for startups with constrained resources, it can serve as a powerful enhancer by managing repetitive tasks, allowing founders to concentrate on growth and innovation.