Field notes on AI implementation, automation, data pipelines, custom connectors, and practical software systems for real businesses.
A useful alerting system does not just say something broke. It knows whether the failure is new, whether it already alerted, whether it recovered, and when to create a ticket.
Read articleSome APIs are not hard because authentication is impossible. They are hard because the shape, pagination, nested resources, and throughput force you to design for patience.
Read articleWhy a modern site should generate its sitemap from real content instead of relying on stale hardcoded URLs.
Read articleSOAP APIs can still power serious enterprise integrations, but they demand patience, defensive engineering, and a connector design that respects pagination, retries, payload size, and rate limits.
Read articleMost useful AI projects start with clean inputs, stable workflows, and reliable handoffs before anyone needs a complex agent.
Read articleA practical look at when a custom Fivetran SDK connector makes sense, and what needs to be designed before writing code.
Read articleHow AI coding tools can help small teams build useful automations faster without turning the codebase into a pile of mystery scripts.
Read articleA practical framework for choosing between LLM agents, deterministic automation, and simple queries.
Read articleWhat is actually involved in writing a production-grade custom connector, including testing, schema drift, retries, and operational support.
Read articleHow small teams can use AI development tools without producing code nobody understands.
Read articleStructured content, metadata, semantic HTML, and the small choices that make your site easier for search engines and AI systems to understand.
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