Practical guidance for connecting AI to systems, orchestrating workflows, and safely automating tasks using APIs, agents, and orchestration patterns.
An interactive, savable checklist to guide reliable integration and deployment of AI components. Covers API contracts, auth, retries, observability, testing, rollback controls, and operational readiness checks.
A practical decision guide, architecture patterns, and observability checklist to help teams choose an orchestration platform for AI workflows and agents — with concrete reliability patterns for retries, idempotency, dead-letter handling, correlation, and monitoring.
Practical orchestration patterns, manifests, observability hooks, compensation strategies, idempotency approaches, and testing guidance to make multi-step agent workflows robust, recoverable, and maintainable.
Pattern-driven recipes that show sequencing, error handling, test cases, and decision guidance for connecting models to systems: synchronous assistants, asynchronous pipelines, agent-based tool use, and event-driven automations.
Interactive, audit-ready checklist to secure API-based AI integrations. Covers secrets management, per-tenant quotas and rate limits, request validation, logging and monitoring, credential rotation, incident response, cost controls, and governance. Save responses to create an evidence trail and guide remediation.