Agent-based dashboard: how a deepfake spreads through a school network, and where a limited education budget actually helps. Illustrative, not validated.
Justin Visser
9bae4a9ca0
tygo is pinned via go.mod's tool directive (Go 1.24+): the tool's version is locked like any dependency and runs as 'go tool tygo', no global install. 'go generate ./...' regenerates web/src/types/engine.ts from Config/Result and their json tags; the generated file is committed so the frontend builds without Go installed. The go:generate directive anchors in a root generate.go because generate runs commands from the declaring file's directory and tygo reads tygo.yaml from the cwd. go.mod's ignore directive (Go 1.25+) keeps ./... from crawling into web/node_modules, where some npm packages ship stray .go files. |
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| cmd/spreadlab | ||
| internal/engine | ||
| web | ||
| .gitignore | ||
| generate.go | ||
| go.mod | ||
| go.sum | ||
| LICENSE | ||
| README.md | ||
| tygo.yaml | ||
spreadlab
Self-hosted dashboard that runs an agent-based deepfake-spread model live: change the levers, watch the spread, and (later) search for the best intervention under a budget. Output is illustrative, not validated.
Status: milestone 1, porting the simulation engine.
Layout:
internal/engine/- the pure simulation engine (no web dependencies)cmd/spreadlab/- the server binary (milestone 2)web/- Vue 3 + TypeScript frontend (milestone 2+)
MIT licensed.