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3 posts
← All writingTL;DR: Organizations buy AI without defining what success looks like. They deploy tools, run pilots, create governance frameworks, but skip the step of connecting technology to measurable outcomes. The result is expensive theater that produces activity without results. Why most AI initiatives fail: * No measurable outcome defined before deployment * Procurement processes designed for deterministic software, not probabilistic AI * Missing translation layer between technical capability and bu
Agent personalisation usually means hard-coded rules. Treating preference as a weighted, evidence-tracked signal layer changes what agents can do.
Prose specifications can't be verified. A constitutional stack needs a runtime, and a runtime needs structured data.