AI‑powered APIs turn SaaS from passive systems of record into governed systems of action. Instead of returning text, they return schema‑valid intents and actions that downstream systems can execute safely. The winning pattern: retrieval‑grounded reasoning that cites sources, typed tool‑calls with policy gates and rollback, deterministic orchestration, and strong observability and cost controls. Measure success … Read more
Great AI SaaS testing goes beyond unit tests. It continuously validates three things: 1) the product’s facts and payloads are correct (grounding and JSON/action validity), 2) actions are safe and compliant (policy, privacy, fairness), and 3) the system meets performance and cost SLOs in production. Build a layered test strategy: golden evals for content and … Read more
AI upgrades SaaS APIs and integrations from brittle point‑to‑point links into adaptive, governed “systems of action.” It understands partner schemas, generates reliable mappings, drafts integration code and tests, monitors behavior, and auto‑remediates drift—while enforcing policy, privacy, and cost controls. Teams that pair retrieval‑grounded documentation, typed tool‑calls, and contract testing with AI orchestration ship more integrations, … Read more