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Categories/AI Orchestration & MLOps/Mentlio
Mentlio

Mentlio

Track developer AI costs and cut token waste

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Mentlio to track what your engineering team spends on AI models, reduce token waste, and verify productivity gains. It processes prompts and code locally on developers' machines to protect private data while computing aggregate metrics for managers. Mentlio automatically routes individual prompts to cheaper capable models instead of expensive frontier models when appropriate. You can view contributor output, analyze prompt quality across teams, compress context logs, and receive automated weekly updates in Slack or Microsoft Teams without exposing your proprietary source code.

What Mentlio does

Route prompts to cost-effective models automaticallyTrack developer token consumption and costsCompress context and logs before sending API requestsAnalyze engineer prompt quality locally on user machinesSend weekly team AI adoption summaries to SlackEvaluate model performance against engineering benchmark tasksLocal on-device prompt evaluation without sending code off-machineDynamic model routing to cheaper LLMs for basic tasksToken waste reduction through context retrieval and log compressionIndividual and team AI productivity tracking and reportingWeekly summary digests delivered directly to Slack and Microsoft TeamsGranular token expense monitoring by engineer, seat, and modelAutomated coaching suggestions based on prompt quality analysis

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

SlackSlackMicrosoft TeamsMicrosoft TeamsGithubGithubClaudeClaudeOpenAIOpenAICursorCursorLinearLinearJiraJira

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Mentlio, AI cost tracking, token reduction, prompt routing, engineering intelligence, developer productivity, token management, LLM cost management, model routing, prompt quality, engineering metrics, Claude routing, Cursor integration, AI ROI