Feedback System
Help Chart Rhythms learn from mistakes.
The Deep AI Read improves by learning what users find useful, vague, wrong, or missing. In this MVP, feedback is saved locally. Later, this becomes a database-backed AI improvement system.
Total Feedback
0
Good Analysis
0
Needs Work
0
Learning Loop
How feedback improves the AI later
Find where the analysis was too vague.
Find where users wanted more detail.
Find which tickers create weak analysis.
Improve prompt rules and source weighting.
Store better examples in a database later.
Use feedback to improve Deep AI Read structure.
Saved Feedback
Local MVP feedback
This is saved in your browser only. Later, it should be saved to a real database.
No feedback saved yet. Open a stock page, rate the Deep AI Read, then come back here.
