The next real leap isn’t another model—it’s system design.
That starts by letting AI evaluate (e.g. LangSmith) its own business outcomes and feeding the results back recursively—refining both prompts and context docs.
Stage 1 per the Karpathy doctrine: workforce augmentation.…
The next real leap isn’t another model—it’s system design.
That starts by letting AI evaluate (e.g. LangSmith) its own business outcomes and feeding the results back recursively—refining both prompts and context docs.
Stage 1 per the Karpathy doctrine: workforce augmentation.…
I couldn’t agree more with @harvey__ai’s CTO, Siva Gurumurthy, who said, “…the whole software ecosystem has changed. We’re no longer building to improve the efficiency of the user—we’re building to perform the work for the user.”
I couldn’t agree more with @harvey__ai’s CTO, Siva Gurumurthy, who said, “…the whole software ecosystem has changed. We’re no longer building to improve the efficiency of the user—we’re building to perform the work for the user.”
If you’re building AI Agents, it’s super important to figure out the optimal use-cases that maximize what agents are good vs. what they’re not ready for *yet*.
There are so many categories of work that AI Agents can help automate or augment. Choosing the right ones that can…
Every Friday @ 7 AM PT, I'm hosting a "live" call in the free "All-In on AI" community.
For businesses going from legacy operations to AI-first operations.
Its free. 👉 Join live now @…
Crazy to hear @satyanadella say he can’t wait for agents to draft his emails—when I (and my team) already built that via n8n: context-aware replies per thread.
Granted, mine’s bootstrapped. He’s waiting on enterprise.
youtube.com/shorts/LBwmpMn…
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