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4 November 2026
Software factories now thrive by converting recurring agent mistakes into repeatable evaluations rather than relying on manual human corrections. Teams move beyond tracking token consumption to measuring outcomes like issue-to-production time and rollback rates, treating agentic workflows as shared infrastructure…
3 November 2026
Most organizations struggle to quantify the impact of their AI investments. While 92% of users report that AI meets or exceeds expectations, only 27% can provide a precise number based on actual records. Relying on anecdotal reports or gut feelings…
2 November 2026
Measuring AI success by token consumption creates a misleading financial picture. While agents increase token usage by planning, testing, and iterating on tasks, spending caps often restrict productive workflows rather than curbing waste. High token counts frequently reflect runaway loops…