Stay updated with the latest developments in Artificial Intelligence
Health coaching AI does not lose trust only through dangerous answers. It loses trust through generic advice, missed context, tone mistakes, and weak follow-through in real production conversations.
Task completion is not the same as user satisfaction. The revenue leak sits in the gap where your AI agent technically finished the job but the user still would not pay, renew, or trust it again.
Some AI agent churn is not normal product churn. It is unresolved intent, lost trust, and quiet downgrade behavior hiding inside standard retention metrics.
A blunt founder guide to finding the five AI agent fixes that actually matter, using production conversations instead of opinions, vibes, and the loudest customer thread.
Agent drift is when your AI agent keeps returning technically valid responses while real user outcomes slowly get worse. Here's how CTOs can catch it before churn shows up.
AI agents should escalate when confidence, context, authority, emotion, or user value crosses a risk threshold. Here is a practical escalation framework.
An AI support agent can mark a ticket resolved while leaving the customer annoyed, confused, or less likely to renew. Here is how to spot resolution without satisfaction.
Text-first AI assistants improve fastest when teams study failed conversations as product data, not embarrassing transcripts. Here is what the failures actually teach you.
Evals, traces, and conversations are three different quality layers for AI agents. Here is what each catches, what each misses, and how to use them together.
Manual transcript review feels like the responsible way to improve an AI agent. Then production volume arrives and the whole process collapses. Here is the trap and the way out.
AI evals catch known mistakes. Production agent failures happen when real users, messy context, tool behavior, and trust collide. Here are the 12 misses teams find too late.
Evals are necessary, but they only test the failures you already know to look for. The failures that hurt retention, conversion, and trust usually show up first in production conversation data.
Showing 30 of 30 stories
You're all caught up.
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news from Agnost AI Blog
Join 15,000+ AI enthusiasts
