Writing · IntelligenceOS
I publish the engineering work.
Notes on what I'm building, evaluating and getting wrong across production AI, financial systems, model adaptation and architecture.
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INTELLIGENCEOSThe IOS Agent Layer — Building Reliable Multi-Step Analysis Pipelines for FinanceA production agent layer for document analysis is not a GPT wrapper with function calling. It’s a state machine with failure handling, a typed tool registry, deterministic routing…2026-06-19Read ↗INTELLIGENCEOSDomain Embedding Fine-Tuning — Adapting BGE to Finance and Risk DocumentsThis post addresses that gap. Not by switching models, but by teaching the one we have.2026-06-18Read ↗INTELLIGENCEOSGeneral Embeddings Are a Tax on Domain AIToday’s deep dive covers exactly this: how we built BGE-finance-v1, what the training data looks like, what Matryoshka fine-tuning gives you, and what a 24-point nDCG improvement…2026-06-08Read ↗INTELLIGENCEOSHow to Design APIs for AI Agentic SystemsAn API that an agent can call is not the same as an API an agent can use correctly.2026-06-05Read ↗INTELLIGENCEOSAgents Don’t Need to Be Smart — They Need to Be ReliableThe autonomy narrative conflates two things: capability and reliability. A highly capable agent can do many things. A reliable agent does a smaller set of things consistently and…2026-05-25Read ↗INTELLIGENCEOSThe IOS Architecture — A Complete Blueprint for a Domain AI PlatformThis post is the synthesis. How all of these components fit together into a coherent production system for a specific domain. Not a generic architecture diagram — a real system…2026-05-11Read ↗INTELLIGENCEOSEnterprise AI’s Real Moat Is Domain Data, Not Model QualityIn a market where model quality is converging toward commodity, access to good models is not a moat. It’s table stakes...what does this mean for you and your company?2026-05-05Read ↗INTELLIGENCEOSVector Databases in Production — Indexing, ANN Search, and the Embedding PipelineThis post covers the mechanics of production vector search, the index types that matter, how to design an embedding pipeline that’s reliable and maintainable, and how to evaluate…2026-05-04Read ↗