ai
The Enterprise AI Stack: A Reference Architecture for Production AI
A practitioner reference architecture for production AI: the eight layers of the enterprise AI stack and a deterministic way to choose at each one.
ai
AI Guardrails: How to Keep LLM Features Safe in Production
Guardrails are the control layer between users, your model, and your systems. What they catch, where they sit in the request path, and how to build them.
finance
Pay by Bank: How Account-to-Account Payments Threaten Card Interchange
Account-to-account payments let merchants pull funds straight from a bank account and skip card interchange. How pay by bank works and why it threatens cards.
technology
Data Lakehouse vs Data Warehouse: Choosing the Right Analytics Foundation
Cut through the lakehouse-versus-warehouse marketing to the real architecture decision: where each wins, the table-format war, and the costly trap of both.
ai
How to Evaluate LLM Outputs: Building an Evaluation Harness That Catches Real Failures
Most teams ship LLM features with no real evals, then find failures in production. A practical framework for an evaluation harness that scales.
finance
Real-Time Fraud Detection: How Payments Risk Moved to Milliseconds
Instant payments removed the float fraud teams relied on. A 2026 framework for sub-second scoring, the model stack, and build versus buy.
technology
Platform Engineering and Internal Developer Platforms: What Actually Reduces Cognitive Load
Most internal developer platforms add complexity instead of removing it. A 2026 framework for what works, what fails, and how to measure platform ROI.
ai
Small Language Models in the Enterprise: When Smaller Beats Bigger
Frontier models do not win every task. A 2026 framework for when small and mid-sized models beat them on cost, latency, privacy, and accuracy.
finance
Embedded Finance in 2026: How Non-Banks Became Financial Companies
Non-banks now embed accounts, payments, lending, and cards. A guide to the BaaS stack, who holds liability, the shakeout, and the unit economics.
technology
Kubernetes Cost Optimization in 2026: Where Cloud-Native Spend Actually Goes
Kubernetes created a new category of cloud waste. A framework for where the spend lands, the FinOps plays that move the bill, and the tooling that finds it.
ai
AI Agents in the Enterprise: What Actually Works in 2026 (and What Is Still Demoware)
Most enterprise AI agents stall in pilot. A framework for the narrow, tool-constrained, well-evaluated patterns that ship, and the demoware that does not.
finance
Open Banking in the US: What Section 1033 and the CFPB Final Rule Mean for Banks and Fintechs
Section 1033 sets the US open-banking trajectory through 2030. A framework for what it mandates and what it changes for banks, fintechs, and aggregators.
What We Cover
Deep analysis across the systems, strategies, and economics that shape modern technology.
AI & Intelligent Systems
LLMs, AI strategy, and intelligent automation
Infrastructure & Architecture
Cloud platforms, APIs, and system design
Financial & Regulated Systems
Payment rails, settlement, and regulated infrastructure
Strategy & Economics
Build vs buy, cost curves, and competitive dynamics
Risk & Regulation
Compliance, governance, and regulatory strategy
Product & Decision Frameworks
Frameworks for product decisions and roadmaps
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