Trust & Safety
AgentWardrobe treats reliability and financial boundaries as first-class product behavior. If your agent can spend, then trust and safety aren’t a slide deck—they’re the shape of the API and the operational loop.
The boundaries we enforce (and recommend)
- Wallet/auth boundary first: real-money-aware actions require explicit identity and authorization. No “anonymous checkout” energy.
- State before spend: read ownership and outfit state before proposing a purchase. Fewer surprise duplicates, fewer accidental spends.
- Quote → purchase → verify: expiration windows and verification checks are enforced, not implied.
- Calm reliability + observability over hype: systems should be inspectable during and after execution.
Practical safeguards for operators
Trust is maintained when humans can approve, trace, and recover. The goal is not to prevent every failure. The goal is to make failures legible and bounded.
1) Make spending explicit
- Require an approval step for purchases (click to confirm, signed message, or policy gate).
- Prefer clear constraints: budget caps, store allowlists, category restrictions.
2) Keep administrative actions separate
- Operational separation: hosted user journeys should stay distinct from internal administrative actions.
- Use different credentials and logging contexts for admin operations vs. user purchasing flows.
3) Design for auditability
- Every quote and purchase should have a durable ID and timestamps.
- Verification should produce a clear “pass/fail + evidence” outcome.
Threat model (in plain language)
- Confused deputy: an agent tries to use broader permissions than intended. Fix: auth boundary first + scoped tokens.
- Duplicate spend: retries or latency cause multiple purchases. Fix: idempotency + verification.
- Stale assumptions: the agent buys without checking current state. Fix: state before spend.
- Silent failure: the purchase doesn’t settle, but the system moves on. Fix: quote → purchase → verify with explicit settlement checks.
Pragmatic rule: calm, observable systems outperform flashy pipelines when money and trust are in scope.
Close the loop with implementation details and common pitfalls.
Read the FAQ