Show HN: MindCheck – Analyze your AI coding logs for over-delegation
MindCheck is a tool designed to analyze AI conversation logs to assess cognitive engagement. It measures various aspects of user interaction with AI, such as hypothesis formation and critical engagement. The tool aims to help users understand their reliance on AI and encourages more independent thinking.
- ▪MindCheck evaluates how users interact with AI by analyzing their conversation logs.
- ▪The tool provides scores based on engagement levels, ranging from strong to heavy delegation.
- ▪It uses a three-tier signal extraction method to ensure privacy and efficiency in analysis.
Opening excerpt (first ~120 words) tap to expand
MindCheck Are you using AI as a tool — or becoming dependent on it? MindCheck analyses your AI conversation logs and measures your cognitive engagement — not how much you use AI, but how you use it. The problem AI tools are powerful. But there's a risk: the easier it gets to offload thinking, the less thinking you do. You might not notice it happening — until one day you can't solve problems without asking AI first. MindCheck gives you a mirror. What it measures Signal What it detects Hypothesis level Do you form a hypothesis before asking, or just dump the problem? (0–4 scale) Ownership Are you driving the conversation, or just reacting to AI output? Critical engagement Do you push back on AI answers, or accept everything? Self-reliance Do you attempt problems before asking for help?…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.