How AI Agents Should Request Tenant-Scoped Permissions
Bind agent actions to tenant, user, and task scope through token narrowing and runtime checks.
Bind agent actions to tenant, user, and task scope through token narrowing and runtime checks.
Backends must make identity, permissions, data, and events explicit for Claude MCP tools.
Choose the right async primitive before it costs you data at 3 a.m.
Separate event ingestion from delivery to avoid timeouts and data loss.
Regulators are enforcing GDPR against agents that lack session-level transparency.
Use spans and evaluation loops to catch agent errors that traditional monitoring misses.
AI agents shatter seat-based pricing, forcing SaaS founders toward usage or outcome billing.
Backend access turns prompt injection from an embarrassment into a data breach.
AI agents need idempotent webhook handlers to survive duplicate deliveries from impatient senders.
Billable-unit design shapes how customers understand and budget for AI agent workloads.
Trace trees and cost attribution reveal what generic monitoring hides in multi-step agent failures.