AI

Agency isn’t just about context control; it’s about the ability to curate which “self” you bring to each interaction, and to see (and edit) what your agents see.

Most critically, we face the privacy paradox: users simultaneously crave deep personalization ("know me like a best friend") while fearing surveillance ("but don't watch me"). This isn't irrational, it reflects the genuine risk that context powerful enough to anticipate your needs is also powerful enough to manipulate them. The same context that... See more

The AI race is shifting from model performance to context mastery. The winners won't be those with the biggest models, but those who build the most trusted context infrastructure.

• If you're a builder : Start with one killer use case that makes context portability irresistible. Focus on immediate value, not abstract promises. Remember: Spotify

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TACTIC #5: Build Context Boundaries and User Controls

• Let users toggle between “public,” “work,” “private,” or custom context scopes for different agents.


• Expose “what your agent sees” as an auditable, interactive surface (not a black box).


• When in doubt, surface ambiguity: ask if the agent should remember/discard/refine certain facts.