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Source for the Viseca wallet-control prototype, shopper interface, and merchant-trust pipeline. Documentation, secrets, keys, datasets, runtime state, logs, and Git metadata are excluded.
The project addresses the Swiss AI Weeks “Agent on a Leash” challenge with an independent control layer between a shopping agent and a customer’s money.
A deterministic policy engine returns approve, decline, or step-up decisions under the payment deadline. Advisory AI models detect prompt injection and behavioral anomalies without gaining authority to loosen customer rules. The simulator, worker, replay tools, and automated checks make the design reproducible.
Customers describe what they want in plain language, review the resulting limits, and explicitly confirm them. Decisions explain the evidence in everyday language, while uncertain purchases appear as clear approval or rejection requests.
The shopping agent can search and compare merchants, while wallet control independently compiles permissions, tracks rolling state, detects duplicates and manipulation, and routes only genuine uncertainty to the customer.
LEASH turns “AI with a credit card” into an inspectable delegation system: signed order policies, merchant evidence, adversarial-text defenses, and a live decision feed make invisible safety logic tangible.
The architecture separates the mobile-friendly control experience from the low-latency decision service, matching a realistic card-issuer integration path. The same model can support family controls, subscriptions, travel, commerce platforms, and other delegated payments beyond the hackathon.