agent-analytics
10 articles tagged “agent-analytics”.
The Future of AI Product Management: Building Self-Improving Products
Master the future of AI product management. Learn the 5-part AI agent architecture behind self-improving products and how the PM role is shifting.
No Way to Merge
Our incremental clustering pipeline kept creating duplicate issues and had no way to merge them. Why tuning the matcher wasn't enough, and the merge job we added.
Claude Code Analytics: Why Anthropic Underreports AI Impact
Anthropic's new Claude Code analytics dashboard uses conservative attribution to protect developer trust. By excluding code rewritten by more than 20% and limiting matching to a strict 21-day window, they show how high-fidelity telemetry beats vanity metrics.
Stop Asking the Model What the Categories Are
We rebuilt issue clustering by moving the taxonomy out of clustering entirely — into detection. What broke in the first version, what the rewrite bought, and what it cost.
The Granularity Problem, or: Why Your Embeddings Don't Know What a "Third-Party Integration" Is
Two VPs want the same dashboard at different zoom levels. Why dendrogram cuts can't give it to them — and what to build instead: leaf dedup, extracted facets, and a declared taxonomy.
Conversational AI vs Search Bar: Building the Future of Retail
Amazon is replacing search bars with conversational AI. Learn what this format shift means for AI builders and how to measure conversational agent success.
AI Agent Analytics: Why Traditional SaaS Metrics Fail
Stop slicing AI agent data by industry or ARR. Learn how intent-based AI agent analytics surface real product gaps and improve agentic workflow performance.
LLM as a Judge: Why Eval Scores Fail Your AI Roadmap
LLM as a judge is great for regression testing but terrible for discovery. Learn why high eval scores hide flat retention and how to surface real user intent.
Introducing the Brizz MCP Server: Your AI Analytics, One Question Away
Ask Brizz anything about your AI product — directly from Claude, Cursor, or any MCP client. No dashboards, no digging, just answers.
Introducing Brizz: Product Analytics for AI Agents
Traditional analytics stop at clicks and pageviews. Learn how Brizz helps teams understand AI agent behavior, improve quality, and make data-driven product decisions.