by user | Mar 16, 2026 | AI Agent Implementation
Adaptive Bandit Testing for Paid Media Teams: Reduce Creative Fatigue and Learn Faster With Better Context Most paid media teams still run testing on a calendar that made sense a few years ago: launch two or three variants, split traffic evenly, wait for significance,...
by user | Mar 12, 2026 | Agent Evaluation & Observability
Why “it worked in staging” fails at 2:13 a.m. Your support agent is live. It has access to a knowledge base, a ticketing tool, and maybe even refund workflows. Then, at 2:13 a.m., it confidently tells a customer the wrong policy, or it calls the right tool with the...
by user | Mar 9, 2026 | Agent Evaluation & Observability
Why “it worked in staging” is a trap You ship an agent on Friday. By Monday, support drops a screenshot: a confident answer that’s subtly wrong. Meanwhile, compute spend climbed, and nobody can reproduce the exact run that caused the mess. That moment is when...
by user | Mar 6, 2026 | OpenClaw Deployment
OpenClaw Setup Guide for Production AI Agents If you are evaluating OpenClaw for a real business workflow, treat setup as an implementation decision, not only a local install. The important questions are permissions, model routing, secrets, observability, approvals,...
by user | Mar 5, 2026 | AI Agent Implementation
Shipping an agent is easy. Proving it was worth it is the hard part. It’s 4:47 p.m. on a Friday. Your AI support agent just handled its 10,000th conversation, and the team is celebrating. Then FP&A drops a calendar invite titled “Agent ROI review” and suddenly...
