What matters
The problem comes before the model.
- Scheduled acquisition from public sources and format normalisation.
- Quality checks, fallbacks, gates and error handling before any output.
- Automatic charts, reports or bilingual publications without hiding source provenance.
Lab Intelligence approach
Sources, assumptions, checks, versions, metrics and limitations remain visible. A more complex technique is used only when it adds value over an understandable baseline.
How the method works →Related workflows
Examples already documented.
These pages describe implementations or experiments from the laboratory; they do not imply that the same result transfers automatically to another context.
Weather automation
Turns public weather forecasts into an educational, readable and quality-controlled multi-city index.
Open project →WF-8Bluesky multi-source
Turns independent technology/AI and energy sources into bilingual Bluesky posts with original cards, traceability and copyright-aware controls.
Open project →WF-10Etna Sentinel
Automated relay of official VONA notices plus an educational wind-transport simulation combining INGV, Open-Meteo, NASA FIRMS/GIBS, pressure-level trajectories, infrastructure proximity and safety gates.
Open project →WF-18Climate Comfort Hours
Turns 72-hour Open-Meteo forecasts into an hourly comparative outdoor-comfort map for 27 cities, with a permanent Siracusa focus, rotating city focus and explicit dominant issues.
Open project →Want to discuss a similar case?
Describe the problem and expected result in non-confidential terms. The first step is to identify the data, criteria and limitations that would make the case verifiable.