Practical perspectives on quality, automation and the economics of AI. Start with a question your team is asking.
7 articles shown
A pilot gives a unit cost, not a payback month. Model setup, the early dip and break-even volume for one QA workflow, and agree a stop rule before go-live.
Read articleDesign a QA experiment with bounded inputs, human review and clear stop conditions before expanding AI usage.
Read articleHow to select a bounded automation pilot with useful assertions, stable data and a clear maintenance owner.
Read articleToken spend is only one part of AI economics. A practical way to include review, correction and failed attempts in your decision.
Read articleA practical way to investigate flaky automation, slow CI and recurring triage without starting a framework rewrite.
Read articleUse a recent release to understand risk, waiting time and decision ownership before investing in a new quality initiative.
Read articleGive your team the decisions, practice and ownership it needs to run a quality workflow after external support ends.
Read articleBring the process you want to improve. We’ll help identify a practical starting point.
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