AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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AI coding agents can't quietly fake "done". Signed ed25519 receipts prove the gates actually ran — bound to the commit, verifiable offline. Fail-closed hooks block the edit, not the PR. Harness engineering over Claude Code, Cursor, Codex, Qwen, OpenCode.
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**AI coding agents that can't quietly fake "done."**
TAUSIK sits on top of the AI coding agent you already use — Claude Code, Cursor, Codex and others — and checks its work. The agent must open a task with a definition of "done" before it edits code, and must show passing checks before it closes the task. Every decision and every failed approach is remembered for the next session. For developers who don't want to take "tests pass" on faith.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
**AI coding agents that can't quietly fake "done."**
TAUSIK sits on top of the AI coding agent you already use — Claude Code, Cursor, Codex and others — and checks its work. The agent must open a task with a definition of "done" before it edits code, and must show passing checks before it closes the task. Every decision and every failed approach is remembered for the next session. For developers who don't want to take "tests pass" on faith.檢視完整 README ↗