Reusable Interpretable Context Methodology (ICM) workspace template for filesystem-based AI agent workflows
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Updated
Jul 2, 2026 - Python
Reusable Interpretable Context Methodology (ICM) workspace template for filesystem-based AI agent workflows
A coaching system made using ICM methodology for competitive programmers who write two-pointer and sliding window solutions by feel and get bitten by bugs they can't explain.
An AI operator whose brain is auditable markdown
Folder-based AI ghostwriter that drafts my email in my own voice β Clief Comp #8 - The Wild Card
π₯ Rate-hike coach for solo consultants who freeze on the conversation. HOW TO USE: Open the live app (demo auto-plays β click 'Start drilling') OR clone this repo & drop the folder into a Claude Project β same coach, no app needed. 4 modes: ποΈ Pre-Game (prep), π Halftime (reset), β±οΈ Timeout (live call), π Post-Game (debrief).
Stop losing 30 minutes re-orienting after a project switch. The repo remembers; this turns its trail into a re-entry map.
Waypoint β an AI career-transition workspace for veterans that translates a service record without erasing the person who earned it. Editors critique, never ghostwrite: every finding quotes its evidence, every persona is a human-editable ICM markdown file, and the veteran owns every word.
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