CallMissed Blog
Insights on AI communication, voice agents, WhatsApp automation, and the future of customer engagement.
Agent Evaluation Frameworks: Braintrust, Inspect, Langfuse, and DIY
The hardest question in agent engineering is not "how do I build it?" — frameworks have solved that. It is "is the new version better than the old one?" Without a credible answer, every prompt change is a vibe-check and every model bump is a coin flip. By 2026 the evaluation tooling has matured enou…
Agent Observability: Tracing Tool Calls End-to-End
You will not debug an agent from logs. The reasoning chain is too branched, the latency surface too rich, and the failure modes too non-local. What you need is a trace — a tree-structured record of every LLM call, tool invocation, retrieval, and decision boundary, with timing and content attached. T…
AI-Powered Debugging Tools in 2026
Debugging in production is mostly archaeology — finding the trace, the log line, and the diff that explain why something broke. AI debugging tools in 2026 are not about replacing the engineer doing that archaeology; they're about cutting the time-to-context from "twenty minutes of dashboard hopping"…