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Essays on operational systems

Written by the founder, from production systems rather than theory. Depth over frequency: we publish when there is something worth an operations leader's time.

June 2026 · 4 minSystems before featuresMost operational software fails at the architecture layer, not the feature layer. Why buying more tools fragments an operation, what a system actually is, and why AI makes the distinction urgent.
June 2026 · 5 minIndustrial-grade ingestion from hostile sourcesEvery AI product stands on an ingestion layer, and most stand on a cron job. Process isolation, resumable scrapes, and why the queue must be a database, from the pipeline behind TenderPulse.
July 2026 · 5 minSpending AI reluctantlyThe cost discipline that keeps LLM pipelines alive in production: cheap tiers first, model escalation gated on measured confidence, and provenance stored with every extracted field.
July 2026 · 5 minWhen Google Sheets is the right databaseA defense of the spreadsheet as an operational data store, the engineering that makes it safe, and the structural signals that tell you when to leave it for a real platform.
July 2026 · 4 minAI explains, never decidesTwo production systems, a recruiting operation and a field scheduling platform, both draw the same line: AI explains, scores, extracts, and drafts on deterministic state, while humans approve anything irreversible.
August 2026 · 4 minThe honest relevance scoreThe TenderPulse relevance engine scores only the criteria a user configured and returns nothing rather than a fake number when it lacks signal. Why explainability is a schema decision, not an interface feature.

New essays every two weeks.