Reader Journey
Technologists
This path is for readers who want to understand how I think about software, AI, product behavior, interfaces, and the systems that quietly shape work and attention.
Engineers, product people, and readers who care about how technology actually changes behavior.
Flagship
A few durable places to start
These are the pages and posts most likely to orient you before the archive gets wider.
educate · topic
Technology
Software, AI, interfaces, incentives, and the practical side of how tools shape behavior.
educate · post
You Can Only Improve What You Measure
A practical essay about why progress gets real only when it becomes visible and trackable.
educate · page
Book Notes and Reading Trail
A cleaner way into the reading layer of the site: book notes, retained ideas, and what stayed with me long enough to matter.
Start Here
The best first reads for this path
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(DAY 1287) Meta AI, WhatsApp, and Instagram Reels for Travel Research
Meta AI’s connection to Instagram Reels points to a useful way of making short-form travel content searchable.
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(DAY 1286) LLMs Are Changing Travel Research
ChatGPT and Claude are changing how I research destinations and turn information into travel plans.
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(DAY 1279) My AI Agent Is Talking to Your AI Agent
AI agents talking to each other can save enormous time, but it is strange to imagine humans slowly removing themselves from the conversation.
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(DAY 1277) Searching Travel Reels
Short-form travel videos contain useful visual information, but they are still strangely difficult to search in a conversational way.
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(DAY 1275) Commit, Review, or Let Go
For anything worth pursuing, define the rules, choose a target, create a learning loop, review deeply, and let go if the pursuit stops producing growth.
Keep Going
More worth reading next
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(DAY 1272) Spearman's g
Starting from Spearman's observation that different cognitive abilities tend to correlate, and reflecting on what that suggests about general intelligence.
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(DAY 1271) General Intelligence
Thinking about general intelligence as the broad capacity to reason, plan, solve problems, learn quickly, understand complexity, and figure out what to do.
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(DAY 1270) What Makes a Being Intelligent
A practical definition of intelligence as choosing goals, acting toward them, learning from feedback, adapting, and finding satisfaction in the process.
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(DAY 1269) Biology and AI
Using biology as a lens for AI, and noticing how adaptation, feedback, emergence, and evolution may explain intelligence better than ordinary software thinking.
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(DAY 1262) Internal Teaching Sessions
The Edzy product team took internal fifteen-minute lectures on Class 10 topics to manually experience what the product should support.
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(DAY 1260) Manual Review of Edzy
The Edzy product team manually reviewed the app, with new product features coming soon.
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(DAY 1255) Saturday Push for Edzy
A Saturday work push on the Edzy app focused on making it friendlier for students before the upcoming release.