Thought leadership on workflow automation architecture, best practices, and industry trends.
Cursor found the same Claude model scored 46% with one agent harness and 80% with another. AI agent evals only earn their keep when they live inside the harness with the authority to block a bad deploy.
When you run workflows for ten clients, each one has different rules about cost, redaction, approvals, and audit. Here’s what per-client governance looks like when it’s a first-class part of the platform, not an account-wide on/off switch.
VILA-Lab found Claude Code is 1.6% AI logic and 98.4% engineering scaffolding. With foundation models converging on baseline reasoning, what makes an agent reliable in production isn’t the model, it’s the deterministic harness around it.
Zapier’s AI add-ons stack on top of the base plan. Make’s native AI modules burn variable credits. The markup is the new SaaS margin, and BYOK for AI automation is how agencies opt out. Here’s how to audit your stack.
Skip the vendor jargon. Workflow automation means your apps talk to each other so you stop copying data between tabs. Here’s what it actually looks like across HR, marketing, finance, and ops.
Most polling code breaks the moment real traffic hits it. These api polling best practices keep you off rate-limit lists: cursor state, adaptive intervals, conditional requests, per-tenant jitter, and 429 retries with full jitter.
Zapier found that 98.5% of polling requests are wasted. Event-driven automation only runs when something actually happens, cutting costs and eliminating delays.