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AI · July 23, 2026

Dimies

Observability tool for product teams

Dimies launched on July 23, 2026 with 4 votes, #6,023 of 24,623 launches that month and more than 75% of that year's launches.

Visit dimies.com ↗Dimies alternativestop 24% of July 2026

What it does

LLM observability today is built for engineers: tokens, latency, traces. Dimies translates raw AI-agent conversations into language product, CX, and leadership teams act on: Topics, resolution rates, out-of-scope demand, security events, and user frustration. It's the layer between eng tooling and business decisions: no dashboards to configure, no conversations to tag manually. Integrate in five minutes and know exactly where your agent wins, fails, and gets attacked.

Dimies turns raw AI-agent conversations into product insights: topics, resolution, quality checks, security events, frustration, and execution traces. Integrate in five minutes.

Dimies turns raw conversations into answers: what users ask, what gets resolved, what your agent cannot handle, and who is trying to break it. Every conversation classifies itself. No taxonomy to build, no clustering limits. Did the agent actually solve it? Every outcome scored, with evidence. Prompt injection, jailbreaks and abuse—as a feed a PM can actually read. Traces for engineers, signals for CX, demand for PMs, inside the same product, on the same conversation. A span tree for LLM calls, tools and retrievals with latency, tokens, cost and errors, inside the same conversation screen. Detect repetition, complaints and irritation before they become churn. Sentiment lives on every…from dimies.com

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