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 is intelligent automation and how is it different from regular automation?
Intelligent automation combines robotic process automation (RPA) with artificial intelligence capabilities like machine learning, natural language processing, and computer vision. Unlike regular automation that follows fixed rules, intelligent automation can learn, adapt, and make decisions based on context. It can handle unstructured data, understand natural language, recognize patterns, and improve over time. Regular automation is best for simple, repetitive tasks, while intelligent automation excels at complex processes requiring judgment and adaptation. Example: Regular automation might route emails based on keywords, while intelligent automation understands context and sentiment to provide appropriate responses.
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