Episode 12: Andy Evansen
I talk with watercolorist Andy Evansen. You'll discover how to use value studies to problem solve your paintings before you begin. You'll learn the importance of big shapes and get advice on good composition. Plus Evansen breaks down how to distinguish morning light from evening light. Plus a whole lot more.
The 20for20 Art Challenge is almost here! You’ll commit to your art for 20 minutes a day for 20 days. Prep Week is underway, but there’s still time to join us, choose your project, get your materials ready, and make a plan for your 20 days. Registration is still open, so if you’ve been thinking about joining us, now’s the time! Join us here today!
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A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
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Repeatable methods, frameworks, mental models, processes, and systems.
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A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.