How AI might reshape recruiting
As AI changes the cost of information access, talent sourcing, capability assessment and communication, how might recruiting roles, responsibilities and business models change?
NOTES & ESSAYS
Thoughts, left on the page.
Technology, work and life. Some answers, some open questions.
Don't let means replace ends: keep your destination in view
Completing a means does not guarantee achieving an end. Individuals and companies need to keep checking goals, direction and actual outcomes while taking action.
When AI no longer needs human work, power becomes the real question
As AI moves from assisting humans to organizing production independently, work is not the only thing changing: enterprises, states, resource distribution and the basis of human value may change too.
How should we design the environment around a model that can act?
Agent products need more than longer prompts: models need observable, actionable, verifiable and constrained environments. Starting from a real conversational mistake, this article explores responsibilities across skills, tools, harnesses, CLI and LangGraph.
Eating is the goal; ordering delivery is a means: how AI-native products may rewrite interaction
An AI-native product does not merely replace buttons with chat. It reorganizes context, workflows, confirmation and execution around user goals, removing unnecessary interaction.
How good product managers quickly understand business workflows
Understanding workflows quickly means more than researching an industry and collecting requests. It requires a product judgement framework around value streams, real tasks, costs and priorities.
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