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from hands-on practice.
Articles on AI agents, business systems, financial AI, and e-commerce.
We write from the perspective of designing, building, and operating technology in real business contexts.
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Designing Decision Authority for AI Agents: Lessons From China's Implementation Opinions
China's Implementation Opinions on AI agents frame decisions by whose authority makes them. We pair that with a process axis into a two-axis template for authority design.
Claude Code vs Codex: 100 Connect Four Games Head-to-Head
AI-written bots play 100 games under a shared referee — and merging them did not make them stronger.
What AI Adoption Leaves You: Continuous Improvement by Design
The value of AI adoption isn't decided by the model alone. We frame the 'improvement data' that stays with you and how to choose among three implementation patterns.
Before AI Agents Trade on Your Behalf: Verifying Delegated Authority in Finance
Letting an AI trade for you turns less on model performance than on verifiable delegation: identity, scope, and execution—and where each control is enforced.
Claude Code vs Codex: Same Question, Different Proposals
Two AI CLIs, one question, opposite proposals — plus rejection, retry, and a mutual correction.
EU AI Act's High-Risk Rules Meet the AI Agent Boom
As AI agent adoption grows and the EU AI Act's high-risk rules take effect, enterprise focus is shifting from building agents to governing them.
Selling Globally: AI Is Lowering the Cross-Border E-commerce Hurdles
Selling globally is no longer reserved for big players. A look at which cross-border hurdles AI has lowered — and which remain.
Machine Learning on Financial Time Series: Built Not to Break
Can you trust a good backtest? A robustness-first way to design validation when applying machine learning to financial time series.
Before You Deploy AI Agents: What to Decide First
An AI agent deployed without deciding 'how far it goes' never becomes a useful tool. Four things to sort out before you start.