The point about AI native products being built differently from traditional software with AI bolted on is also important. There is a real difference between a platform that was designed with AI at its core and one that added AI features later to keep up with the market. That difference often shows up in how smoothly the automation works, how well the AI understands context, and how easily it integrates with other systems. For teams that are serious about automation, choosing an AI native platform can save a lot of headaches down the road.

I also appreciate the reminder that the cheapest option is not always the best. Saving money on the subscription is great but if the software does not actually solve the problem or if it takes more time to manage than it saves, then it is not really a bargain. The real measure of value is whether the tool delivers measurable results that justify its cost. Thanks for sharing this. It is a useful framework for anyone navigating the crowded and confusing landscape of SaaS and AI alternatives.