Serious career moves are relationship-context problems, not just application-tracking problems.
The hard part is remembering who you spoke with, what they said, who can introduce you, and what follow-up matters next.
That is what Contextual Intel is built around.
@Lowes I was stuck at https://t.co/efUSbDbct3 . I tried my credit card, Apple Pay, and PayPal, but none completed the transaction. All the options just keeping coming back to the checkout page. I moved to @HomeDepot as I need to buy the appliance today.
I am impressed how bad service is at big home improvement retail stores over 15min from waiting for help @Lowes - I will pay extra going to @AceHardware where they have staff that is knowledgeable and helpful.
AI agents aren’t just features—they’re dependency graphs. The question isn’t “can it do the task?” it’s “what happens when it’s wrong?” Ship least privilege, receipts, rollback, circuit breakers.
@AnthropicAI didn’t just leak Claude Code—they leaked the coding-agent blueprint.
Not the embarrassment: the harness.
Permissions, isolation, tool execution, and MCP.
Models converge. Harnesses don’t.
Moat = trust architecture.
AI can scale research. It can’t lead to discovery. @simile_ai and @cvspharmacy “agentic twins” look great for validation. But discovery is upstream: learning agenda, contradictions, weak signals, judgment. What would you never delegate to a model? https://t.co/JayURlioeI
@profzeke, today in the classroom, I mentioned the 5-person team. I agreed that it will not work in every setting, but that is how the new AI-firtst start-ups are organizing themselves -- https://t.co/E4Lu38X0x3**