Participants:
Halloween Experiences,Crisp AI Meeting Assistant Setup,Proof of Concept for AI-Generated Summary Article,Attorney Hub Development and Testing
Anthony’s children participated in trick-or-treating for a record 1.5 hours, though they didn’t last the entire event.
The neighborhood experienced an unusually high influx of visitors from other communities, leading to crowded streets.
A popular house offering hot dogs ran out of food due to hundreds of visitors.
Matt enjoyed Halloween in Marysville, where parents took turns supervising children and handing out candy.
Matt’s gathering featured a fire, beer, and a taco bar, creating a fun atmosphere despite initial wind and rain.
Bradford spent the evening on his porch, drinking hot cider with Captain Morgan and interacting with trick-or-treaters.
Bradford’s neighborhood had a lively atmosphere with people walking around with drinks and snacks.,Anthony attempted to set up Crisp, an AI meeting assistant, in Slack.
The team experienced significant audio quality issues when testing Crisp, with Anthony’s voice sounding robotic and compressed.
Crisp is advertised as a noise-canceling app and AI meeting assistant, but it seemed to degrade audio quality instead of improving it.
The team struggled to find proper technical support or troubleshooting guides for Crisp.
Anthony decided to submit a support ticket to Crisp regarding the audio quality issues.
The team discussed exploring alternative solutions, including Python libraries for speech recognition.,Tom scaled back their initial plans for an architecture meeting, focusing instead on creating a proof of concept.
The goal is to demonstrate a working system for Tom’s upcoming demo, where they can log in after a meeting and see an AI-generated summary article.
Anthony and Bradford emphasized that this proof of concept is disposable and not suitable for scaling or further development without proper engineering.
Tom wants to prioritize Attorney Hub over this project, limiting the time spent on the proof of concept.
The team needs to create a simulated meeting with subject matter experts, key takeaways, and a summary for the demonstration.
Anthony plans to research alternatives to Crisp, focusing on solutions that don’t have unlimited use licenses for user data.
Bradford will explore Python libraries for potential in-house development of speech recognition capabilities.
The team aims to create a system that can generate a useful title, list of participants and speakers, summary, and key takeaways from a meeting.
They will script out a sample meeting to demonstrate these capabilities.,Matt is working on improving the user interface for forms and messages in Attorney Hub.
There is a need to refine the process of creating and viewing forms, making it more intuitive for users.
Matt submitted a pull request to fix an issue with URL parameters for material tables, though it is acknowledged as a temporary solution.
The team plans to revisit and improve the routing system in the future.
Tom and Anton intend to test Attorney Hub over the weekend, so the team aims to leave it in a good state for testing.
The team discussed ongoing quality assurance efforts and the need for more thorough testing.
**Halloween Experiences**
Anthony’s children participated in trick-or-treating for a record 1.5 hours, though they didn’t last the entire event.
The neighborhood experienced an unusually high influx of visitors from other communities, leading to crowded streets.
A popular house offering hot dogs ran out of food due to hundreds of visitors.
Matt enjoyed Halloween in Marysville, where parents took turns supervising children and handing out candy.
Matt’s gathering featured a fire, beer, and a taco bar, creating a fun atmosphere despite initial wind and rain.
Bradford spent the evening on his porch, drinking hot cider with Captain Morgan and interacting with trick-or-treaters.
Bradford’s neighborhood had a lively atmosphere with people walking around with drinks and snacks.
**Crisp AI Meeting Assistant Setup**
Anthony attempted to set up Crisp, an AI meeting assistant, in Slack.
The team experienced significant audio quality issues when testing Crisp, with Anthony’s voice sounding robotic and compressed.
Crisp is advertised as a noise-canceling app and AI meeting assistant, but it seemed to degrade audio quality instead of improving it.
The team struggled to find proper technical support or troubleshooting guides for Crisp.
Anthony decided to submit a support ticket to Crisp regarding the audio quality issues.
The team discussed exploring alternative solutions, including Python libraries for speech recognition.
**Proof of Concept for AI-Generated Summary Article**
Tom scaled back their initial plans for an architecture meeting, focusing instead on creating a proof of concept.
The goal is to demonstrate a working system for Tom’s upcoming demo, where they can log in after a meeting and see an AI-generated summary article.
Anthony and Bradford emphasized that this proof of concept is disposable and not suitable for scaling or further development without proper engineering.
Tom wants to prioritize Attorney Hub over this project, limiting the time spent on the proof of concept.
The team needs to create a simulated meeting with subject matter experts, key takeaways, and a summary for the demonstration.
Anthony plans to research alternatives to Crisp, focusing on solutions that don’t have unlimited use licenses for user data.
Bradford will explore Python libraries for potential in-house development of speech recognition capabilities.
The team aims to create a system that can generate a useful title, list of participants and speakers, summary, and key takeaways from a meeting.
They will script out a sample meeting to demonstrate these capabilities.
**Attorney Hub Development and Testing**
Matt is working on improving the user interface for forms and messages in Attorney Hub.
There is a need to refine the process of creating and viewing forms, making it more intuitive for users.
Matt submitted a pull request to fix an issue with URL parameters for material tables, though it is acknowledged as a temporary solution.
The team plans to revisit and improve the routing system in the future.
Tom and Anton intend to test Attorney Hub over the weekend, so the team aims to leave it in a good state for testing.
The team discussed ongoing quality assurance efforts and the need for more thorough testing.
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