These answers come from the year-long archive of my previous chatbot that lived on my previous site iamnicola.ai. I’ve curated the most useful sessions—real questions from operators exploring AI workflows, experimentation, and conversion work—and lightly edited them so you get the original signal without the noise.
ai-workflows
What skills do I need to implement AI workflows?
Implementing AI workflows requires a mix of technical and business skills. Technical skills include understanding APIs, basic programming (Python or JavaScript), familiarity with AI platforms, and data analysis. Business skills include process mapping, change management, and understanding your domain deeply. You don't need to be an AI expert—many platforms provide no-code or low-code solutions. However, understanding how AI models work, their limitations, and how to structure prompts helps significantly. Collaboration skills are also important since you'll work with stakeholders, developers, and end users. Many successful implementations start with learning one platform deeply rather than trying to master everything.
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