Flows, auto-batching (≤15.9k tokens), auto filenames, OpenAI gpt-4o via local runner. Server auto-estimates tokens/record and batches.
📊 Gap Analysis (Flow 1 Only): Server scans 500+ theme vocabulary vs quotes.json. Returns themes with <2 quotes (gaps). Includes spelling correction and rare author selection. This flow is specifically designed to fill search gaps - themes that users search for but have no results. Other flows (2-5) are for targeted content generation and do NOT use gap analysis.
Example: 3 themes × 2 authors = 6 quotes total (1 quote per unique theme/author pair)
Keyword/Theme
Authors (comma-separated)
Quotes/Author
Action
Author
Themes (comma-separated)
Quotes/Theme
Action
Example: Author: "Gandhi" | Themes: "Peace, Truth, Justice" | Quotes/Theme: 2
→ Generates 6 quotes total (3 themes × 2 quotes each, all by Gandhi)
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