Episode 23: How can AI simplify complex workflows and enrich language learning? Matt Wolfe (https://x.com/mreflow)) and Nathan Lands (https://x.com/NathanLands) take you on an insightful journey exploring diverse AI use cases and tools.
In this episode, Matt and Nathan delve into the intricacies of learning Japanese and coding with AI, leveraging tools like Claude and Perplexity to streamline and enhance these processes. Nathan shares his experience simplifying Japanese language learning through targeted translation techniques, while Matt reveals his tips for efficient coding using AI, along with strategies for optimizing content with AI tools like Perplexity and Ideogram. The duo also discusses workflow automation, potential SEO hacks, and meeting management with AI, rounding out the episode with engaging and valuable insights.
Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd
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Show Notes:
- (00:00) Exploring advanced AI use cases for businesses.
- (04:40) AI recreates Doom from gameplay videos accurately.
- (07:30) Useful for newsletters, business documents, and data management.
- (09:55) Custom instructions enhance model quality and results.
- (13:09) Create shorthands for tasks using custom instructions.
- (18:19) Perplexity's page feature generates mini Wikipedia entries.
- (25:25) Curious about AI-generated YouTube thumbnail prompts.
- (26:48) Automating business workflows.
- (31:49) Automated workflows simplify data analysis with make.com.
- (35:31) AI efficiently simplifies meeting agenda creation process.
- (37:21) Google Meet now summarizes and generates meeting notes.
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Mentions:
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Check Out Matt’s Stuff:
• Future Tools - https://futuretools.beehiiv.com/
• Blog - https://www.mattwolfe.com/
• YouTube- https://www.youtube.com/@mreflow
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Check Out Nathan's Stuff:
The Next Wave is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Darren Clarke // Editing by Ezra Bakker Trupiano
