Insights
Practical field notes and thoughtful updates on agentic AI, GenAI, data engineering, and product work from the CentricaSoft team.
Field notes from AI and data engineering work.
6 min readWhy most agentic AI pilots never reach production
The pattern behind agent projects that stall in a demo loop — and the three guardrails that get them shipped.
GenAI / RAG7 min readCitations are not optional: grounding chatbots enterprises can trust
How retrieval quality, reranking, and source attribution decide whether a chatbot survives contact with real users.
Data Engineering8 min readThe real cost of a lakehouse migration nobody talks about
Compute is cheap. Coordination is not. Notes from re-architecting a petabyte-scale batch system into streaming.
Metadata & Governance5 min readYour data catalog is lying to you
Why manually maintained glossaries rot within a quarter, and what it takes to keep metadata alive automatically.
Machine Learning6 min readForecasting models fail in the field, not the notebook
Lessons from putting demand-forecasting models into production where the data drifts and the business doesn't wait.
Delivery4 min readWhat a 14-day proof-of-value actually requires
The scoping discipline behind shipping a working AI system in two weeks instead of a slide deck in six.
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