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Mentlio

Engineering intelligence and token optimization for the AI-coding era

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Mentlio is a tool for engineering teams that measures AI usage, cost, and output. It surfaces token spend, active seats, and productivity signals, and identifies waste such as expensive models used for simple tasks, bloated context, retries, and overly long answers.

Its modules include Overview, Productivity, People, and Savings, covering adoption, contributor output, prompt quality, token efficiency, and realized savings. The Suite includes Route, a model routing layer that selects the cheapest capable model per prompt; Lens, a context retrieval layer; Quiet, a response discipline layer; Logs, a log compression layer; and Recall, a reversible context layer. Prompt scoring runs on-device, with dashboards receiving aggregate scores rather than prompts, code, or private files. Weekly digests and threshold alerts are posted to Slack and Microsoft Teams. Integrations include GitHub, Claude, OpenAI, Cursor, Linear, and Jira.

It is aimed at engineering teams and managers who need visibility into AI spend and impact, with reports that can be exported for leadership.

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