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0211 – Go from zero to eleven in any topic with F1-style gear shifting

by ekadet·Feb 16, 2026·1 point·0 comments

AI Analysis

●●SolidNiche GemBold Bet
The Take

Maps F1-style gear shifting to learning checkpoints — four gears with concrete RPM thresholds (75→80→85→90) and 'fail = stay in gear' progression rules. The repo includes a mode/config that lists tool permissions (write, edit, bash, read, search, webfetch), so this is more than theory: it's a usable agent pattern you can drop into an AI tutor. What it doesn't show yet is the telemetry and grading plumbing to enforce those thresholds at scale — promising design, but still an MVP.

Category
Target Audience

Self-directed learners, educators/instructional designers, prompt engineers and power users who want structured, mastery-based LLM tutoring

Post Description

I built an AI agent mode that doesn't just teach you—it forges you into an expert through brutal, tested progression.

*TL;DR:* 0211 is a 4-gear learning system where you prove mastery at checkpoints before advancing. Each gear has RPM thresholds (75% → 80% → 85% → 90%). Fail = stay in gear. No shortcuts to expertise.

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## The Code https://github.com/ekadetov/ekadetov.github.io/blob/main/ass...

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