@JacobSobolev Agreed. Which is why the action layer has to be narrow and opinionated — not a general executor. Chips over commands. Constrained actions that succeed reliably beat open-ended agents that fail unpredictably.
We spent 4 articles building the case.
Article 5 is the payoff — what happens when Contextual Intelligence meets the ability to act.
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@JacobSobolev That's exactly the constraint we're designing around. The answer isn't storing everything — it's reading state in the moment, on device, ephemerally. What's useful doesn't have to be permanent.
Every major AI company is building blind.
OpenAI. Google. Anthropic. Meta. All brilliant. All missing the same thing.
Before you type a word — what does your AI know about you right now?
Part 4 of our series: https://t.co/P7pe8mcF0C
#ContextualIntelligence#AI#BuildInPublic
@JacobSobolev The hallucination risk is real. Our approach is to use state and environment as modifiers on response tone and depth — not as retrieval signals. Keeps it grounded.
Every AI you're using right now is contextually blind.
Contextual Intelligence is the missing layer.
Read: https://t.co/i9GXpK585v
#ContextualIntelligence#AI#BuildInPublic
@JacobSobolev Exactly — surface expression is the easy part. State is the layer underneath that most systems never reach. That's the gap we're building into.
Your face is broadcasting information you don't know you're sending.
State is not mood. And the difference changes everything about how AI should respond to you.
Part 2 of our Contextual Intelligence series: https://t.co/i9GXpK585v
#ContextualIntelligence#AI#BuildInPublic
Your environment knows things about you that you don't.
The back camera is the second half of Contextual Intelligence — and what it can see may surprise you.
https://t.co/TiSi92MqIA
#ContextualIntelligence#AI#BuildInPublic#GuardianMode
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