Hidden Costs of Running AI in Production
The seven hidden costs of running AI in production, from inference and drift to human review, how APIs and custom models compare, and how to control them.
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Articles on product strategy, engineering principles, and building software that lasts.
Escalate an Incident When Progress Stalls
Escalate a production incident when investigation stalls, impact grows or the timebox expires. A short process keeps handoffs fast and well documented.
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Finding Data Inconsistencies in Production
Production data can drift from expected values. Verify the anomaly, trace data flow and transaction boundaries, and prevent repeats with idempotent writes.
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Why Products Solve the Wrong Problem First
Why most products solve the wrong problem first, and how to find the right one. Map workflows, score pains on frequency and cost, then fix one constraint.
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Chasing Issues You Cannot Reproduce
Some production issues never reproduce in staging. Rebuild the timeline from telemetry, narrow the blast radius, test hypotheses and add targeted monitoring.
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When You Need a Technical Co-Founder
A technical co-founder matters when your core value rests on proprietary technology and matters less for off-the-shelf builds. Five questions help you decide.
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What Context Switching Costs in Incidents
Interruptions force engineers to rebuild their mental model mid-incident. Learn how incident leads, shared logs and handovers cut that cost and speed recovery.
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What One More MVP Feature Really Costs
Every added MVP feature compounds design, build, testing and operating costs and delays user feedback. See why scope creep slows validation.
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Which Production Issues Deserve Prevention
Not every incident justifies prevention work. Rank issue types by recurrence, cost and feasibility so engineering time goes where the return is highest.
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How to Prioritize Product Features
How to prioritize features when every request feels urgent. Score requests against one metric, rank impact per effort and fill a fixed time budget each cycle.
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Core Metrics for Production Health
Production health needs a defined set of metrics. Start from user journeys, set SLIs and SLOs, instrument every layer and alert on outcomes, not just resources.
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How to Instrument for Product-Market Fit
How to instrument your product to detect product-market fit, from the value action and events to cohort retention, time to first value and the 40% survey.
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