Classifier-based safety gates can cut interruptions by only stopping for high-risk actions. Learn how auto-continue agents change workflows and what to test.
AI teams are moving fast these days. But speed is also how mistakes slip in. That is [Read more]
AI DLC Insights helps you map token spend to shipped code, so you can finally tell which AI runs created real value. Here is a practical workflow.
Recent data claims the Claude Code Auto Mode classifier caught 89% of dangerous commands. See what this means for safer agent workflows and tool use.
Cross-session messaging is quickly becoming one of the most important upgrades for AI agents that work across [Read more]
AI agents are getting better at one hard thing that stands out in every real deployment: working [Read more]
Agentic self-healing workflows help AI agents recover from failures safely. Learn practical steps to validate tool calls and handle chat edge cases.
AI agents move fast. But moving fast is exactly how “agent escape” problems start, even when your [Read more]
SEO_FOCUS_KEYWORD: real-time conversational voice ai SEO_TITLE: Real-Time Conversational Voice AI: Barge-In Guide SOCIAL_TITLE: Real-Time Conversational Voice AI [Read more]
Self-healing OpenCrabs agents make automation more reliable by fixing phantom intent detection, improving tool-call parsing, and handling Telegram message timing. This article breaks down what changed and how to apply the same ideas to your own agent runs.