Analyze GPT Prompt Efficiency Tokens are money. But more importantly, tokens are time—and wasted tokens often mean wasted developer time, misaligned outputs, and missed targets. If you’re working with GPT-3.5, GPT-4, Claude, or any OpenAI-compatible LLM, DoCoreAI helps track how efficient your prompts are. Think of it as a Prompt Analytics for Developers. 📉 Key […]

In this guide What is an LLM Cost Analytics Dashboard? Who Needs It & What It Helps Decide Key Metrics & KPIs to Track Ideal Dashboard Layout Implementation Checklist How to Prove ROI from These Metrics FAQ – Common Questions What is an LLM Cost Analytics Dashboard? This is your control panel for monitoring how

Prompt analytics turns your LLM app from a black box into a measurable system. Track the right signals (tokens, latency, success), iterate with experiments, and connect the dots to cost and business value. Last updated: August 2025 • 8–10 min read In this guide Why prompt analytics matters Metrics to track Instrumentation checklist Cost math

Most folks install and stop. Don’t. The dashboard shows LLM cost, developer time saved, and prompt health—with no prompt content stored. Open the Demo Copy: pip install pip install docoreai export DOCOREAI_KEY=YOUR_API_KEY # Windows: set DOCOREAI_KEY=… python -m docoreai start # starts local agent & telemetry See Cost Savings Over Time Spot waste, compare models,