TraceIQ
A large personal software project for organizing, processing, correlating, and reviewing complex collections of information from multiple sources.
Work involved: System design, Architecture, Data modeling, Iterative development.
Open projectSoftware & current experiments
The lab is where the architecture keeps changing.
Recent work extends the same practical systems thinking into software: organize complex information, connect tools without losing track of ownership, and make the result reviewable. These projects are active, imperfect, and rebuilt often.
Working principles
What the experiments are testing
A
Traceable information
Derived analysis should remain connected to its sources, provenance, and review history.
B
Clear boundaries
Tools, workflows, and data stores need explicit responsibilities instead of one opaque system.
C
Durable work
Long processes need state, checkpoints, failure handling, and a path for human decisions.
D
Iterative architecture
Rebuilding is useful when each version makes the actual constraints more visible.