GPT Actions
ChatGPT-facing actions use OAuth-style authorization flows and scoped server-side access rather than direct exposure of private app sessions.
Integrations extend Rilev, but they should not weaken the platform's privacy boundaries. This guide explains the trust model around machine clients, authorization grants, live context, and provider callbacks.
ChatGPT-facing actions use OAuth-style authorization flows and scoped server-side access rather than direct exposure of private app sessions.
Machine clients should receive narrow capabilities and explicit tool boundaries, not broad database access or user-controlled account identifiers.
Context sharing should remain session-bound, time-bounded, and revocable so integrations do not become hidden persistence channels.
Authorization grants are intended to be short-lived, narrowly scoped, and protected according to the integration model.
Stripe, RevenueCat, and similar provider callbacks rely on provider verification, not browser-origin assumptions.
Integrations must inherit the same anonymity and data-plane boundaries as the core product instead of bypassing them.
A new integration should answer three questions before it ships: what capability is granted, how the grant expires or revokes, and whether the integration can accidentally join identity-plane and data-plane records.
Rilev's integration docs should stay explicit about public machine surfaces while keeping implementation-sensitive route details inside internal engineering docs.