Added logic to the 4 languages so it can search each language at a time

rust-ai/src/AI.md

@@ -40,12 +40,19 @@ The scraper lives at `browser-use-service/main.py` port 3008.
    - 6-7 non-English quick searches (Afrikaans, isiXhosa, isiZulu — 2 queries each per category)
    - Total: ~14 searches per scrape, completed in 2-4 minutes
 4. **Quick searches** — load page, double-scroll, extract visible posts (~12-18s each)
-5. **Date filter** — only posts within 7 days are considered
-6. **2-pass classification (dead-accurate)**:
+5. **Date filter** — only posts within **2 days** are considered. Anything older is discarded. Fresh leads only.
+6. **Stealth mechanics**:
+   - Random viewport dimensions (1280×800 to 1920×1080) — never the same size twice
+   - Variable delays between searches (5-12 seconds) with mouse idle actions mixed in
+   - Human-like scroll patterns: scroll down, pause, sometimes scroll back up, sometimes return to top
+   - Canvas/WebGL/audio fingerprint spoofing via injected init scripts
+   - Random decoy page visits (e.g., Facebook Groups) between searches
+   - Profile directory is temp-copied and cleaned up after each scrape
+   - Detection signal monitoring (checkpoint, login pages, security challenges)
+7. **2-pass classification (dead-accurate)**:
    - **Pass 1 (AI)**: Ollama classifies each post as LEAD or NOT using a strict prompt per category. This is the primary filter and most accurate.
    - **Pass 2 (Keyword)**: Only posts matching BOTH a target term AND a request term are kept. Requires multi-word phrases — standalone words like "need", "want", "help" are NOT used as they cause false positives. Aggressive reject list catches service offers, self-promotions, portfolio posts, learning-requests, and existing-site issues.
    - **No loose fill**: Unlike the old approach, there is NO third pass that accepts posts matching EITHER term. Every returned lead has passed both AI and/or strict keyword validation. If fewer than 5 posts pass, that means only genuine leads are returned — no noise to pad the count.
-7. **Anti-detection** — random delays, human-like scrolling, user-agent rotation, proxy support
 8. **Scrape timing** — 3-6 minutes for a complete run. Returns 5-10 leads with high confidence.
 
 ### Lead Categories
@@ -76,7 +83,7 @@ Each lead returned includes:
 - `author` — poster's name (may include location in name)
 - `content` — extracted post text
 - `url` — direct link to the post
-- `date` — when posted (filtered within 7 days)
+- `date` — when posted (filtered within 2 days)
 - `category` — "website" or "tutor"
 
 Target is 5-10 dead-accurate leads per scrape. Quality over quantity — no loose padding.