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If the example is correct, it's injecting more than fluff and flourish. It injected "After weeks of hard work", which doesn't seem supported by anything in the input, and probably sets the wrong tone. Certainly it was at least many months of work prior to launch.



Scroll up or go to https://www.flowrite.com/?ref=lbixer#examples to see more examples of what it can do.


The additional examples seem to integrate external knowledge. How does that work?

It expands "follow up" to "in person or via Skype / phone call" -- where did those platform preferences come from?

when asked "How about a Zoom call on the following Tuesday at 2PM?" it replies "I'll be in a Zoom meeting on Tuesday at 2PM, so let me know if that works for you." Does this mean Flowrite looked at a calendar and detected a conflicting zoom meeting? Or is it trying to accept the proposed meeting time & venue?

I do really like the Blog Outline example, where it expands a general question ("How to align your Marketing, Sales and Customer Success teams to maximize revenue?") to a list of six other questions to dig into the problem more. That might be a powerful way to push people to think more deeply and question assumptions.


> where did those platform preferences come from?

GPT-3. Which I think is reasonable - not a lot of work to read it through and replace it with "on Zoom, or next time you're in the bay area".

Good point on the calendar though.


Or is it? Huggingface model fine tuned in 3 weeks? Maybe the model knows what it's saying. /s




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