From 16k+ PyPI installs to real insights

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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 
pip install docoreai
export DOCOREAI_KEY=YOUR_API_KEY   # Windows: set DOCOREAI_KEY=...
python -m docoreai start           # starts local agent & telemetry

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📉 What We Noticed

  • ✅ Devs install the CLI tool
  • ✅ They run 1–2 prompts
  • ❌ But they never check the dashboard reports

That's like installing Google Analytics but never logging in. You're doing the work without seeing what's working.

🧪 What You’re Missing

Run this:

> docoreai start
  - run your LLM prompts as usual 
> docoreai dash

Then get charts showing:

  • ✅ Developer Time Saved
  • ✅ Token Usage and Cost
  • ✅ Temperature Trends
  • ✅ Prompt Success Rate

Your prompts are never stored. Reports are generated anonymously.

CLI Run Example

One-line CLI run

Chart Dashboard

Insightful Charts: Developer Time Saved, Cost, Time Distribution

⚙️ Getting Started

Install and run in minutes: 

> pip install docoreai
  -add token to .env file
> docoreai start
> docoreai dash

The dashboard opens automatically in your browser.

🔐 About Privacy

We respect your data. DoCoreAI never logs your raw prompts. Only anonymous usage metric stats are collected — if you opt in. 

Do you want to help improve DoCoreAI by enabling anonymous analytics? (y/N)

That’s it. Full transparency. Toggle off anytime.

🧭 Explore

🙏 Like it? Help us out

If you found this useful, please share this post on Reddit, Twitter, Hacker News, or with a friend building AI tools. Let’s make prompt optimization measurable — not magic.

2 thoughts on “From 16k+ PyPI installs to real insights”

  1. Pingback: LLM Cost Analytics Dashboard: Metrics, Layout & ROI | DoCoreAI

  2. Pingback: Analyze GPT Prompt Efficiency: Cut Token Waste Without Losing Quality

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