AI Agents Run Toward Goals. Are Yours Worth It?
Claude's /goal feature lets agents work until a completion condition is met. Most examples are output-oriented: tests pass, backlog empties. Outcome is missing.
Read more →Making sense of agility, scaling, OKRs, product operating models, and leadership — written from 15+ years in the field.
Claude's /goal feature lets agents work until a completion condition is met. Most examples are output-oriented: tests pass, backlog empties. Outcome is missing.
Read more →AI coding can make engineering dramatically faster. The business does not follow automatically — the constraint moves to deciding what is worth building.
Read more →Most AI efforts are still stuck in personal productivity. Zoetis CTO Kumar Venugopal on what it takes for AI to change the process itself.
Read more →Plenty of pilots, training, tools, and output but not enough business traction? The problem may not be AI. AI may be improving the wrong part of the system.
Read more →Spec-driven development can be a smarter way to steer AI coding agents, or waterfall with more tokens. The difference is whether the spec creates learning.
Read more →Moving from chatting with AI to unleashing agentic AI is not just a productivity boost. It changes leadership work — humans move up a level.
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