Latest Insights
Explore the latest insights, industry shifts, and actionable tactics to accelerate customer-driven growth.
How to Measure AI Agent Performance Using Conversations
A product-first guide to conversation intelligence for AI agents — how teams analyze conversations, measure quality, and improve AI-driven experiences.
AI Agent Analytics: How to Measure User Experience, Not Just Infrastructure
Stop tracking just speed and cost. Learn how AI agent analytics measures what matters: user frustration, resolution rates, and conversation quality. Real examples with ROI data.
AI Agent Analytics Explained: Measuring AI Agent Performance
AI Agent Analytics helps teams understand how AI agents perform in real conversations. Learn what it measures and why it’s becoming essential.
Langfuse Alternative for AI Assistants
Looking for a Langfuse alternative? Learn when LLM observability isn’t enough and how Cipher helps teams improve AI assistant experience and resolution quality.
Why LLM Evals Are Incomplete
LLM evals look great on dashboards but miss where AI assistants really fail: in conversations. Learn why model-centric metrics are incomplete and what to measure instead
The N/N+1 Summarization Degradation Problem
Why summarizing summaries breaks long-context LLMs. A deep dive into information loss, hallucination drift, and better architectures for production AI systems.
Cipher: Conversation Intelligence Layer for AI Assistants
Introducing Cipher: The conversation intelligence engine that turns unstructured dialogue from your AI assistant into clear signals for product improvement.
How to Build Your First Customer Intelligence System in 3 Steps
Build a cost-effective Customer Intelligence System. Master data aggregation, build a product taxonomy, and avoid the LLM cost trap with a smart ML hybrid analysis approach.
The Real ROI of Customer Intelligence: Why It Pays Off Faster Than You Think
A conversational walkthrough of how customer intelligence directly drives revenue, reduces support costs and saves teams countless hours by turning scattered feedback into clear, actionable insights.
How We Turn Customer Noise into Strategic Growth
In today’s product world, feedback is endless—tickets, reviews, calls, social mentions. The real challenge isn’t gathering it, but turning it into clarity. At Lexsis AI, we don’t just collect feedback; we translate it into actionable customer insight.
The Founder's Story
How building the “wrong” product taught me what the right one should be.