If you asked a human assistant to do this and it came back with that level of research, you'd be pretty disappointed
If you asked a human assistant to do this and it came back with that level of research, you'd be pretty disappointed
It did read the email's content, using it to support its conclusion, and it frames its answer as "strongly suggests"/"likely" opposed to assuming it for certain:
> > This email discusses the reading preferences of “he” and mentions “Monty” in the subject line. This strongly suggests that Monty is Donovan’s son.
Within the given domain (access to emails only - can't also view the author's Facebook connections or reach out to ask people) that seems to be the best answer possible, unless there was another email mentioning the name more directly that was missed.
> This email discusses the reading preferences of “he” and mentions “Monty” in the subject line. This strongly suggests that Monty is Donovan’s son.
Still, pretty slim
Like, the obvious next step would be a search for "Monty" to validate
Fair point.
> This email discusses the reading preferences of “he” and mentions “Monty” in the subject line. This strongly suggests that Monty is Donovan’s son.
I too would do it manually and begin by trawling through emails from my brother's address. Obviously just the word "Monty" means the brother probably mentioned the name somewhere else (e.g. in real life) and then just used that reference key assuming OP knows what/whom it is referred to.
It's somewhat impressive that an AI can infer that "this email's subject is a male name, and the email discusses his reading preferences, it's possible the email sender is talking about his son." (I wonder if AI would "understand" (whatever "understanding" means for AIs) that the email sender is not talking about a cat named Monty, because cats can't read).
Take each chunk extract key phrase, summarize, now for each chunk, or vector search, is the basis of every rag chatbot built in the last 2-3 years.