01
Coordination is the real bottleneck
Tax and benefit policy is still interpreted through closed, non-interoperable models. Institutions do not just disagree on values. They often are not running the same system at all.
Thesis
Society, in silico.
The thesis is simple: tax and benefit law should be executable, inspectable, and queryable at household scale. The more ambitious claim is that a shared economic model becomes public infrastructure.
02
The missing layer is shared runtime
Calculators exist. Forecasts exist. Scorekeepers exist. What does not yet exist in the open is a queryable, household-level runtime that connects encoded law, calibrated populations, and simulation at operational scale.
03
Open infrastructure should carry the trust burden
The legal and modeling substrate should be inspectable. Cosilico can leverage open encodings and source infrastructure without making them the center of the product story.
04
AI is an accelerator, not the trust story
LLMs can help propose encodings, draft tests, and surface ambiguities. They are useful precisely because they sit inside a validation pipeline with reference checks, structured tests, and external comparisons.
Stack
What should stay inspectable
Rule libraries
Axiom Foundation encodings and related open rule libraries that Cosilico can leverage as supporting substrate.
axiom-foundation.orgmicroplex
Open-source synthetic microdata synthesis and survey reweighting for calibrated household populations.
GitHubpy-statmatch
Open-source statistical matching and data-fusion tooling for combining partial datasets into richer analytical records.
GitHubValidation artifacts
Published reports and model checks are part of the trust surface, not internal-only ops debris.
What follows
Start with proof, not mythology
The strongest next move is not a broader narrative. It is more visible evidence: more published validation artifacts, clearer API contracts, and a public surface that never makes trust claims it cannot support.