Loop Engineering for Governed Agent Systems
Loop engineering designs the recurring system around an AI agent: triggers, evidence, tools, verification, budgets, stop conditions, and accountable authority.
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Clear thinking for complex financial systems.
Field notes on FinTech architecture, production AI, and the engineering decisions that make critical platforms dependable.
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Follow the evidence through the system.
Why Good Teams Still Produce Messy Architecture
Why capable teams still create fragmented systems—and how ownership, incentives, executable standards, and system feedback restore coherence.
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The AI-Enabled Digital Bank Is Not a Layer Cake
A target-state digital bank becomes executable when authority, financial truth, evidence, resilience, and AI decision boundaries are explicit.
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How to Build an MCP Server for Your API with Ollama and Kimi
Build and cost a secure MCP adapter for an existing API, then connect the same tested tool contracts to Codex, Ollama, or open Kimi models.
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UAEFTS Explained: Engineering Real-Time Settlement
How UAEFTS settles AED transfers—and how engineers should design liquidity, idempotency, reconciliation, and recovery around it.
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I write from the systems behind reliable FinTech and production AI.
Field-tested architecture, diagrams, and engineering decisions—without the theatre.