@Okonu

AI Agents Are Not Products: Embedding Intelligence Into Business Operations

Apr 12 · 18 min read · Abstract AI agent products are proliferating faster than the operational frameworks needed to deploy them well. Most enterprise and SME deployments fail not because the underlying models are incapable

When Does Similarity Stop Working?

Apr 5 · 20 min read · The Concentration Problem at the Heart of Vector Search Every major embedding model produces hundreds or thousands of dimensions. You use cosine similarity on them. There is a theorem that says this

When Does Learning Beat Random?

Mar 30 · 17 min read · The Johnson-Lindenstrauss Lemma Against PCA and Neural Networks A theorem from 1984 claims you can throw a random matrix at high-dimensional data and preserve its geometry almost perfectly, with no

When Agents Decide

Mar 22 · 20 min read · Agentic AI in Credit & KYC and the Governance Gap That Follows Abstract Agentic AI systems are now capable of executing end-to-end credit decisioning and KYC workflows with minimal human input, retri

The Gap Nobody Talks About: What Happens Between a Model's Output and a Real-World Decision

Mar 8 · 14 min read · There is a moment in every production AI system that most engineering teams don't fully design for. The model has run. The prediction is out. And now, something has to happen with it. That moment, the