Agustin Grube
Validating Ai
Essays and frameworks on agents, workflows, operating models, and the human judgment layer that makes AI useful in practice
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Featured Essays
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AI Strategy Is Not About Tools. It Is About Advantage.
Most companies still talk about AI strategy as a question of adoption, tooling, or model choice. The more important question is whether AI helps create an advantage that compounds, differentiates, or strengthens the business in a way competitors cannot easily copy.
Why Prompting Is Not an Operating Model
Why companies that treat prompting as adoption will hit a ceiling, and why real AI value comes from workflows, oversight, and system design
Latest Essays
AI Security Is Not Just About the Model. It Is About the Entire System Around It.
Many AI security discussions focus too narrowly on the model itself. In practice, the larger security problem is the full system around the model: the data it can access, the tools it can call, the workflows it sits inside, the permissions it inherits, and the actions its outputs can influence.
Every Company Using AI Needs Rules for Risk, Review, and Responsibility
AI use becomes organizational risk the moment it affects decisions, customer interactions, sensitive information, or operational execution. That is why every company using AI needs clear rules for what can be done, what must be reviewed, and who is responsible when something goes wrong.
AI Strategy Is Not About Tools. It Is About Advantage.
Most companies still talk about AI strategy as a question of adoption, tooling, or model choice. The more important question is whether AI helps create an advantage that compounds, differentiates, or strengthens the business in a way competitors cannot easily copy.
AI Is Changing the Cost Structure of Knowledge Work
Knowledge work used to be constrained by human time. AI changes that constraint, lowers the cost of first-draft production, and shifts the premium toward judgment, coordination, and trust.
Why Prompting Is Not an Operating Model
Why companies that treat prompting as adoption will hit a ceiling, and why real AI value comes from workflows, oversight, and system design
Validators
Most discussion about AI still sits at the wrong level. The question everyone asks is whether AI can produce. Can it write code, draft strategy, answer customers, analyze documents, build workflows, and run agents? Increasingly, yes. It can produce quickly, cheaply, and at massive scale.
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Latest ESSAYS
AI Security Is Not Just About the Model. It Is About the Entire System Around It.
Many AI security discussions focus too narrowly on the model itself. In practice, the larger security problem is the full system around the model: the data it can access, the tools it can call, the workflows it sits inside, the permissions it inherits, and the actions its outputs can influence.
