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Notes on AI as it becomes everyday product work.
I write about agentic AI, governance, engineering judgment, and what teams need when AI systems move from experiments into products and operations.
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May 21, 2026 · Enterprise adoptionAI Token Costs Need an Operating Model, Not a Bigger BudgetEnterprise AI spend is becoming an operating discipline. Token budgets matter, but the real control problem is workload routing, attribution, approvals, exceptions, and model flexibility.Read on the Gaia blog
May 19, 2026 · GovernanceAI Trust Is a Deployment DisciplineEnterprises will not scale AI because they believe in it. They will scale it when trust becomes measurable, operational, and tied to deployment decisions.Read on the Gaia blog
May 19, 2026 · EngineeringForward-Deployed AI Is a Feedback Loop, Not a Services MotionForward-deployed engineering is becoming central to enterprise AI because agents change with models, workflows, and customer practice. The real advantage is the learning loop between deployment and product.Read on the Gaia blog
May 14, 2026 · EngineeringAI Automation Engineering Is the Role Enterprises Were MissingEnterprise agents will not transform business processes as a side project. Companies need AI automation engineers who can turn models, data, tools, controls, and human workflows into production systems.Read on the Gaia blog
May 12, 2026 · ProductAI Experimentation Is Not TransformationCompanies do not become AI-transformed by running more pilots. They transform when AI changes workflows, ownership, metrics, governance, and the operating cadence of the business.Read on the Gaia blog
May 6, 2026 · GovernanceConviction Collapse Is the Real AI Product RiskWhen software becomes easier to generate, product teams risk losing conviction about what should endure. The scarce skill is deciding what should not change.Read on the Gaia blog