AI versus Marshy - Examples of chat built into an app

I’ve been talking about AI platforms a lot lately, and I wanted to share some thoughts on chat built into an app. I’ve been experimenting with different tools, and I think it’s time to share some of my findings. Let’s dive into some examples of chat built into an app, and see what we can learn from them. And ChatGPT isn’t any different/better. ​ ​ To be fair my prompts aren’t much but I think they both suck even for a first draft. Professional curiosity got me to jump into Gemini to test things as well, and it’s pretty similar - but with more exclamation marks ( 12! ): ​ Which just reminds of the episode of Seinfeld with Elaine and exclamation points (sorry younger readers!) ​ I think the meta-point here is that comparisons of platforms for everyday users is a moot point now . By and large - the models and platforms do the same thing for the broad majority of tasks. Unless you’re cutting edge with your AI use and applications - you DON’T need to be comparing one model over another and trying to get the BEST one. A red flag when someone is trying to talk to me about “their AI expertise” is an assertive recommendation of one chat tool over another - please - you don’t know what you’re talking about. An example of an edge case I’ve heard recently? I met Firuz through an intro. His team has built an integration with Vertex into his Google Drive. ​ With it he can query/reference/use any file stored within an extremely large context window. Meaning it can reference, infer from, and connect to wildly disparate pieces of information to create new information. Originally appeared in newsletter : AI versus Marshy 56 - why side-by-side comparisons suck, shoutout to Ai5, and examples of chat in apps