Tutorials

Eight walkthroughs. The first seven are in order and run against bundled data, so you can work through the sequence with nothing installed but the package; the eighth stands alone and covers a different kind of input.

1	From a LangGraph to a fault tree	Extraction, roles, common-cause groups, loop unrolling
2	Cut sets, importance and the FMEA	Reading the structural result, and what to do about it
3	Measuring under an operational profile	HIP-LLM, intervals, calibrating the leaves
4	Fault tree to Bayesian network	CPTs, exact inference, diagnosis, drawing
5	End to end in ten lines	The whole pipeline, and comparing two architectures
6	Learned CPTs	Fitting a gate from data instead of assuming it
7	Your own graph	Pointing all of this at a real LangGraph application
8	Analysing an n8n workflow	The same analysis, from an n8n JSON export instead

Runnable scripts for each are in examples/.