Views from engineers, not PR.
Analyses from real projects: AI, architecture, automation, product and data sovereignty.
21 articles
From AI proof of concept to production: the five recurring blockers
Moving from PoC to production is rarely a model problem. It is an organization problem, and constraints left unnamed too early.
Semantic layer: why your AI agents go astray without one
An agent does not understand your company. It navigates what you made interpretable.
AI agents: human control as a production requirement
What eighteen months of agents in production change about how we design human validation.
Agent governance: logs, scope, human escalation
Without logging and clear escalation, an agent is not governed. It is merely launched.
Evaluating an AI vendor: an operational checklist for CIOs
An AI vendor is judged less by its demo than by what it lets you inspect, export, and stop.
Custom or SaaS: framing the problem correctly
A decision frame from assessments with CIOs and business leaders - without ideological camps.
AI Solution Factory: industrialize AI the way you industrialize software
Industrializing AI is not about faster demos. It is about accepting the constraints of a product that must last.
Enterprise RAG: what actually works beyond the demo
Useful RAG is judged less by fluent answers than by source traceability.
Automating without dispossessing teams
Why automation failures are rarely technical - and how to keep teams in the loop.
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