What you'll learn:
How to learn new skills by jumping in first, then studying - this builds deeper understanding than following tutorials
Why connecting AI tools to Notion creates powerful automation without needing technical skills or complex systems
How small startups can reach $10M revenue with fewer than 10 people using generalist team members and AI tools
Why "context engineering" is the secret to building AI agents that stay smart throughout their work processes
How to start with simple AI automations like email sorting and lead generation that give quick wins
Why tools like Lovable now let anyone build custom apps just by describing what they want in plain English
How combining different skills creates better career opportunities than becoming an expert in just one area
Why following your interests beats trying to predict what skills will be valuable in the future
Some takeaways:
Learn by doing first, then studying.
Use Notion as your AI control centre.
Build lean teams of multi-skilled people, not big specialist departments.
Master context engineering for better AI performance.
Start with simple automations that give quick wins.
Build custom software without coding skills.
Combine skills instead of specialising deeply.
Follow your interests instead of guessing future trends.
Aim for higher revenue before raising big funding rounds.
Links:
Where to find Sawyer
Where to find Milly
Website: http://www.millytamati.com/
Generalist World resources:
Podcast: https://open.spotify.com/show/0qbGzMUMDCK5v3XbvRANmD?si=b1d7af51c24e43ee
The Generalist Quiz: https://www.generalistquiz.com/
Upcoming events: https://lu.ma/generalist.events
Positioning Guidebook: https://www.generalist.world/positioning
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