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more about observations and why
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eddiesoehnel 2026-05-18 07:59:30 -06:00
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@ -198,8 +198,6 @@ Low-structure, but high-signal data that is extremely valuable for AI interpreta
* Writing samples: long-form or short-form expression
* Observations:
* Questions:
* Excitement:
@ -214,7 +212,8 @@ Low-structure, but high-signal data that is extremely valuable for AI interpreta
* Upcoming events I’m attending
What are you actually seeing? Not what the headlines say, but what you see. And, just as important, what are you doing about it as a result?
* Observations: What are you actually seeing? Not what the headlines say, but what you see. And, just as important, what are you doing about it as a result? Success often lies in early signals, unique patterns, and context-rich insights...the kinds of information traditional sources tend to overlook. These valuable fragments typically emerge from primary, on-the-ground observations and lived experience. Submit what you are seeing, hearing and experiencing. AI won’t just passively observe and collect this information through full access to our digital lives, they’ll also become active stewards of our insights. We’ll be able to submit reflections, anecdotes, and observations directly to our agents, who will then determine when and how to share them within our network. This creates a dynamic layer of decentralized intelligence: a continuous, real-time flow of first-hand signals being exchanged among trusted agents. Over time, the network becomes smarter, more relevant, and more valuable, not just because of the data it holds, but because of the context and intentionality behind it.
Consider exporting your social posts and dumping into this document.
@ -228,7 +227,7 @@ Consider exporting your social posts and dumping into this document.
# **UPDATE LOG**
* Date \+ updates: what is happening now in my life that helps AI understand me
* Date \+ updates: what is happening now in my life that helps AI understand me.
# **APPENDIX**