Blog
Notes on data, AI and the foundations underneath.
Practical writing for teams shipping AI on data they can trust — pipelines, platforms, governance and architecture.
6 min read
AIData engineeringStrategyWhy AI projects fail without data foundations
Most AI failures are data failures in disguise. How to tell whether you need a model — or a pipeline you can trust.
Read5 min read
ArchitectureHiringFractionalWhen a fractional data architect beats a full-time hire
Seed to Series C teams often need senior design authority, not another mid-level hire. How to decide which path fits.
Read7 min read
GovernanceEU AI ActComplianceEU AI Act readiness without a compliance theatre
What scale-ups actually need to show for AI governance — before a customer’s procurement team or a regulator asks.
Read5 min read
Data qualityPipelinesPlatformsShip data quality tests before another dashboard
Dashboards multiply trust problems. Why tests, contracts and alerting on pipelines pay off faster than another BI tile.
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