Insights
Analyses, case studies and technical perspectives from industrial AI practice.
Content and sales pipeline automated with AI
How we automated our own content and sales pipeline with AI
Six building blocks, one system: LinkedIn posts in under 5 minutes, articles in 30 minutes of review, first response within hours — how AlpiType built its own AI content and sales pipeline.
Insight
Migrating from Qt5 to Qt6 — what really happens
Qt5 to Qt6 migration in practice: hidden effort, a four-phase plan, real cost and time ranges from real projects.
Insight
Software architecture with the Qt framework
Qt's four architecture layers, QML vs. Widgets, typical mistakes and trade-offs — why the first two weeks decide the next five years.
Insight
The 10 most important design patterns for embedded development
State machine, observer, command, ring buffer, strategy, factory, RAII, facade, watchdog — with C++ code and a field example.
Insight
Why AI Projects in Regulated Environments Require a Different Approach
Why AI projects in regulated environments fail: architecture patterns for safety-critical systems in medical, aerospace, and industrial contexts.
Manufacturing Automation
What Physical AI in Manufacturing Actually Needs
Physical AI in manufacturing: Why most industrial AI projects fail at the data layer — and what edge inference actually requires to work reliably.