adminThe Outbox Pattern for AI Agents: Making External Side Effects Reliable
How AI agents can persist intended external actions before sending email, webhooks or transactions so retries do not duplicate side effects.
AI Agent Tool Permission Manifests: Making Capabilities Explicit Before Execution
How AI agents can declare tool scopes, allowed actions and approval requirements in a machine-readable permission manifest.
Deterministic Checkpoints for AI Agents: Resuming Long Workflows Safely
How long-running AI agents can persist deterministic checkpoints so crashes and retries resume from known state instead of repeating work.
Ephemeral Credentials for AI Agents: Granting Tool Access That Expires Automatically
How AI agents can use short-lived credentials for tools and APIs so automation works without permanent secrets or unlimited account access.
AI Agent Trace Sampling: What to Log When You Cannot Store Every Run
How to sample AI agent traces for debugging, quality and safety when storing every prompt and tool event is too expensive or sensitive.
AI Agent Human Approval Latency: Designing Review Steps Without Killing Automation
How to design human approval points for AI agents so high-risk actions stay controlled without turning every workflow into a manual queue.
Idempotent AI Agent Retries: How to Recover Without Doing the Same Action Twice
How AI agents can retry failed workflows safely without duplicating payments, emails, records or other external side effects.
AI Agent Tool Schema Validation: Preventing Silent Failures Before Execution
How production AI agents can validate tool inputs, outputs and schema versions before execution to reduce brittle automation failures.
AI Agent Change Management: Versioning Prompts, Tools and Policies Without Breaking Workflows
A release process for versioning agent prompts, tool schemas and policies so production automation can evolve without silent behavioral regressions.
Multi-Tenant AI Agent Isolation: Separating Tools, Memory and Credentials by Customer
A security architecture for isolating AI agent tools, memory, secrets and audit trails across customers in a multi-tenant SaaS environment.
