Your AI Executive Assistant works alongside you in Slack:
๐ Summarizing long conversations and extracting to-dos
โ๏ธ Auto-drafting replies to help you save an hour per day
congrats on the launch! is there a particular user type you've seen the most success with (like PMs managing a bunch of workstreams, customer-facing managers staying on top of customer slack channels, etc?)
@maxkolysh those two archetypes you mentioned have indeed been pretty successful with Dispatch! In general, folks that serve as "hubs" tend to get overwhelmed with the volume in Slack and find a lot of value in Dispatch.
We've also had a lot of success with engineers. I think the keyboard-orientation of the app, as well as the powerful rules system for routing are very attractive to engineers (as an engineer myself, I can certainly say I love those two aspects of Dispatch!)
@inaherlihy thanks! yep that's on our roadmap. Dispatch already has powerful Rules https://www.dispatch.do/topics/r...
Next up, we're adding this Rules logic to your summaries.
e.g.) "Find all outstanding bug reports in my customer channels"
Stay tuned!
@sbartel Extracting facets like this from Slack conversations is the next step for us -- here's a sneak peek.
It does decently well right now. Certainly a good starting point.
Things that will get it from good to great:
- user feedback / labeled data for better training
- custom prompts to help the model understand broader context for messages it's summarizing
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Dispatch has been my favorite new product that I adopted in the past year! This makes it a whole lot better.
@mbusel that means a ton coming from you Matt ๐โโ๏ธ Grateful for your role in getting us here
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Love Dispatch and super curious to test out this feature! What's the prompt you're using for summarization?
@andra_vomir
> What's the prompt you're using for summarization?
We're still experimenting, but one of the big learnings for us is around the importance of "prompt chaining": asking the LLMs to do one thing at a time. i.e.) input -> prompt1(input) -> output1 -> prompt2(output1) -> output2 -> prompt3(output2) -> ... etc
So we have a prompt to simplify the transcript
Then summarize topics in that simplified transcript
Finally, annotate those topics with other attributes (type, status, next steps, etc)
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