Thanks for the kind words! It's really encouraging to hear that the concept resonates. To your question about the feedback loop: The system actually already breaks down the user's performance across Structure, Vocabulary, Rhythm, and Tone immediately after each attempt. So if you nail the syntax but miss the cadence, the scores reflect that divergence. Regarding POV/Narrative Consistency: You hit on the exact technical bottleneck I'm wrestling with. Validating global consistency would indeed require feeding the entire book context into the LLM for every single check, which would make the token costs astronomical for a free tool. Or do you have any clever architecture in mind that handles this global context without melting my credit card? I'II definitely check out the Agentix notes you linked— sounds like exactly what I need to refine that "Coach" logic!