1) tips, stories, and experiences on leveraging AI as an individual (fav tools, workflows, etc.)
2) anything agent related
3) rapid fire reacting to or creating a whole bunch of startup ideas across categories and coming up with a quick GTM experiment
@yoheinakajima
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AI Tools, Agents, and Rapid Startup GTM Experiments
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Claude Design: AI-Powered Design Tool with Opinionated Output Ontology
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been using claude design and loving it it's basically claude code under the hood but with a very opinionated ontology for input and output – the input ontology is logo, colors, fonts, etc.
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User Preferences: Speed vs Precision in AI Interaction
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so far about 70% speed type, 22% prefer to be precise, and 8% use voice
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AI complexity trade-offs: coding versus daily quick tasks
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actually makes sense, especially for more complex tasks like coding vs for daily quick usage (iterating on some basic research)
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Speed-typing with AI: Casual Communication Patterns
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does anyone else "speed-type" when talking to AI? ignor spellign mistakes skip commas use agro abbrev etc
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Enterprise AI adoption delayed by longer sales cycles
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one hypothesis: enterprise is slower sales cycle and longer contracts so market reaction is delayed compared to fast moving devs/startups
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Security is only as strong as weakest link
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a good reminder that your security is only as good as the weakest part of your security
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Training Custom AI Models: Market Implications Discussion
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it was a random idea, i won’t actually do it. but it triggers some interesting convos that help me think through the market 🙂 cool idea on training own model. i’d get permission first if i wanted to do this, but not sure i want to enough to start doing that.
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Using pitch conversations as high-quality AI training data
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i was noodling on good training data and realized how awesome the pitch convos are. remove pii but keep the motivation and market insights.