AI Observability, Written Clearly
Productalise is a personal blog about how AI systems behave once they leave the demo and meet real users. I write about telemetry, silent failure, prompts, retrieval, evaluation drift, and the signals that actually matter when teams are trying to make AI systems understandable and reliable.
Written by Greg Ziemiecki for technical product leaders, solution engineers, and teams running AI systems in production.
Featured Writing
"Healthy" is a claim, not a fact. The most dangerous AI systems in production are the ones whose definition of healthy was inherited, never challenged, and quietly never updated.
Read articleMost teams shipping generative systems do not lack tooling. They lack an on-call rotation, an ownership matrix, and a runbook for behavioural anomalies — the operational scaffolding every other production system gets by default.
Read articlePrompt edits alter system behaviour, often in ways no one watching infrastructure can see. They deserve the versioning, telemetry expectations, rollout criteria, and rollback paths every other production change gets.
Read articleWhy token counts, latency charts, and model usage graphs often say very little unless they are connected to user outcomes and product semantics.
Read articleWhy the hardest AI incidents are rarely outages. They are the systems that keep responding, keep looking healthy, and quietly stop being useful.
Read articleAbout Productalise
This is a personal blog about observability, evaluation, and the operational behavior of AI systems in production. The writing stays close to implementation, real usage, and the places where healthy-looking systems quietly stop being useful.
What You’ll Find