T’NT: Tech ’N Train

     Image generated by Gemini      This week, I continued exploring Google Gemini  and used it to practice designing  a cover for our class eBook project . It was a very interesting experience using AI for visual design.  I started with a simple prompt asking for an eBook cover about digital tools used in learning and education, but the result was very basic and did not fully match what I expected. My Experience with this tool      Capitalizing on last week's experience with AI prompting, I knew that the quality of the image Gemini can produce depends heavily on how detailed and clear the prompt is . I added more details, such as the theme of the eBook, names of the tools included and the purpose of this eBook, the output was very different and of a better quality.      One thing I appreciated about Gemini is how accessible and easy it is to use . This tool does not require design experience, and it allows you...

     This bonus activity gave me the opportunity to better explore a different side of AI, which is image generation. This was my first time experimenting with tools that turn text into visuals. I explored both Microsoft Copilot (which uses DALL·E) and Google Gemini to see how each responds to image prompts. The general thought is that generating images using AI is simple. Just describe what you want and AI gives you the result. The truth is, image prompting requires a different kind of thinking compared to text prompting.       My first attempts were very basic, such as: “Create an image of a workplace training session.” The results were acceptable but generic and not very engaging. The images lacked detail, context, and creativity. They looked like the generic images you can find on the internet and not really related to the context I was concerned with. Then, I refined my prompts and started adding: - Setting (specific organization, office, classroo...

    I have used different AI tools in work-related context to review and develop training content, different presentations and executive summary preparation. In this class , I had the opportunity to explore different AI tools as someone learning how to communicate effectively with them. One thing became very clear, which is that the quality of the output depends heavily on the quality of the prompt.      This week,  I used ChatGPT and Google Gemini to compare how different tools respond to similar prompts, and this helped me better understand how wording, structure, and specificity influence the results that the AI tools produce. My Experience with Prompting      At the beginning, my prompts were very general. I would ask things like “improve this paragraph” or “summarize this document,” and while the responses were helpful, they were often too broad or not exactly what I expected to see. As I watched the videos and  read the tips the pr...