Jev turns requests into decisions software can use. What that changes for healthcare workflows, the economics of automation, and the work that still belongs in code.
- Jev skips the conversation.
Jev turns requests into decisions software can use. What that changes for healthcare workflows, the economics of automation, and the work that still belongs in code.
- The builder’s advantage
The FDEs are coming. Sam Sweilem on agentic engineering, private AI, and the cost of waiting for consensus.
- Nagendra Bandaru and Wipro’s AI-Native Contact Center Playbook
How Wipro Healthcare Process Solutions paired NVIDIA’s AI stack with a phased operating model—and the performance measures CIOs should examine before scaling.
- Jensen Huang’s AI factory thesis meets the enterprise
NVIDIA’s infrastructure argument is becoming an operating agenda: define the work, engineer the whole system, and measure useful output.
- Claude’s next chapter in healthcare
From healthcare workflows to Fable 5.1, Anthropic’s progress makes model routing, data boundaries, and evaluation more consequential.
- Andrej Karpathy and the new value of engineering judgment
As coding agents take on more implementation, the scarce skill shifts toward context, verification, and understanding what the software should do.
- The agent can pay. The mandate is the hard part.
Stripe’s machine-payment infrastructure makes delegated spending tangible. The next design problem is deciding what an agent may buy, disclose, and commit the business to.
- Who verifies the verifier?
Andrej Karpathy’s automation thesis points to a new engineering investment: executable evidence that an agent solved the right problem.
- The apprenticeship AI does not replace
Shopify is expanding internships while embracing coding agents. The more useful workforce question is how quickly a new engineer learns to own the result.
- The cost of an AI job that actually gets done
A lower token bill can hide a more expensive operation. Enterprise AI economics starts with accepted work, including the time and infrastructure needed to finish it.
- Healthcare AI’s next design problem: permission
Private inference settles where a model runs. The operating design must settle which patient, which purpose, which action—and who can stop it.
- Before the rewrite, prove the behavior
AI can accelerate the construction of a replacement. The difficult modernization decision is knowing which obligations the new system must preserve—and when it can take over.
- AI is building the next AI.
Anthropic says Claude now leads a quarter of its measured research and development under human supervision. The consequential shift is inside the research process itself.