From 8247b1e4ac89a47e0aead000bd2304812bf3ca60 Mon Sep 17 00:00:00 2001
From: SteadyW <233242505+YusufB5@users.noreply.github.com>
Date: Fri, 12 Jun 2026 16:32:08 +0300
Subject: [PATCH] Update README with ASCII MOD compatibility note

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 085322c..fd30b73 100644
--- a/README.md
+++ b/README.md
@@ -12,7 +12,7 @@
 
 1. **Pure Typographic Manipulation**: The visual stream is not a standard media file—it's raw HTML/Canvas text. This makes the impossible possible: you can apply real-time CSS filters (neon glows, text shadows, animations) to video content.
 2. **Local AI & LLM Ready**: By reducing complex pixel streams into structured logical strings, ASCILINE acts as a perfect bridge for AI. Instead of feeding heavy computer vision models, lightweight LLMs can process semantic video summaries.
-3. **Ultra-Low Bandwidth & IoT Compatibility**: Standard codecs (H.264/VP9) choke microcontrollers and weak networks. ASCILINE processes the heavy lifting once on the backend, streaming only a few kilobytes per frame.
+3. **Ultra-Low Bandwidth & IoT Compatibility (for ASCII MOD)**: Standard codecs (H.264/VP9) choke microcontrollers and weak networks. ASCILINE processes the heavy lifting once on the backend, streaming only a few kilobytes per frame.
 4. **Bypassing Browser Constraints**: Modern browsers aggressively throttle autoplay videos, and ad-blockers restrict traditional media frames. To the browser, ASCILINE is simply "JavaScript updating a canvas"—completely invisible to media restrictions.
 
 ## 🚀 Technical Features