product
12 articles tagged “product”.
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.
Agent Evaluations: Why Output-Only Checks Fail
Evaluating AI agents on final output hides silent failures and loops. Learn why trajectory evaluation and observability are essential for reliable agentic workflows.
AI Agent Error Handling: Why Strict Tool Standards Matter
Fix silent failures with a strict AI agent error handling contract. Learn how structured tool errors improve debugging and observability for LLM agents.
RAG Retrieval Optimization: The #1 Mistake AI Builders Make
Upgrading your LLM to fix hallucinations is a costly trap. Learn how RAG retrieval optimization and key evaluation metrics solve the real bottleneck.
AI Product Management: Fixing Silent Model Degradation
Stop AI model drift. Learn why AI product management requires continuous evaluation of probabilistic systems to prevent silent failure and user churn.
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 Cost: Surviving the Production Compute Tax
Scaling AI agents? LLM-as-a-judge costs can destroy your unit economics. Learn 4 strategies to optimize token usage and reduce LLM evaluation cloud spend.
Continuous Evaluation for AI: Why Traditional QA Fails
Stop silent AI degradation. Learn why continuous evaluation for AI is replacing traditional QA to monitor semantic drift and maintain LLM product quality.
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.