Your AI Workflow Finished. Where Did the Customer Data Go?
Follow customer data through n8n, OpenAI and your CRM. Check who can access retained copies, what redaction hides and whether deletion works before scaling.
AI automation
Is Prompt Caching Actually Lowering Your AI API Bill?
Find out whether prompt caching cuts your AI API cost per usable result. Compare cache writes, reads, retries and review time, then check the provider's bill.
From Supplier PDFs to Product Data: Where AI Needs a Second Check
Turn supplier PDFs into product data you can trust. Check file coverage, SKU matches, pack prices and units, then test a small import before updating your catalogue.
Not Every AI Job Needs an Instant Answer: Batch the Backlog
Move delay-tolerant AI work into dependable batch queues to cut processing costs without compromising quality, data controls, or urgent workflows.
Background AI Tasks Need Queues, Not Longer API Calls
A practical guide to reliable long-running AI work using job records, queues, idempotency, approvals, webhooks, retries, and recovery.
The Riskiest Part of an AI Workflow Pilot Is Often the OAuth Screen
Before approving an AI workflow, review its OAuth scopes, identities, spending controls and shutdown plan with this practical pilot checklist.
Agentic AI: How It Works and When It’s Worth Using
Agentic AI can act across tools, but it needs boundaries. Learn how it works, when it beats simpler automation, and how to run a controlled business pilot.
OpenAI Evals: Acceptance Tests for AI Workflow Releases
Learn how to use OpenAI evals, graders, red-team cases, and release gates before prompt, model, tool, or routing changes go live.
OpenAI's Guardrails and Run State Make Internal Agent Rollouts a Paid Approval-and-Audit Job
OpenAI's agent documentation points to a practical reality for internal automation: once an agent can update records or trigger actions, the valuable work shifts to approval design, run-state logging, observability, and staged rollout governance.
OpenAI Computer Use: Browser Agents Need Credentials, Not Demos
A practical guide to taking OpenAI computer use beyond the demo with safer credentials, approval gates, isolated browsers, and recoverable operations.
Written recommendations from Trafik og Veje, Aarhus Municipality (2011) and AgroTech (2010).
