I shrunk a 600MB log file to 11MB — the AI still understood everything inside it

*Real test. Real numbers. No marketing

Two problems kept killing my AI projects.

Problem 1: Log files too large for any context window.
Problem 2: API costs growing faster than my results.

I built a Chrome Extension that attacks both.

--- The log compression test ---

I fed it a real 600MB Nginx access log.

Output: 11MB
AI comprehension retained: more than 97%

The AI could still:
✓ Identify all error patterns
✓ Trace full request flows
✓ Answer specific questions about the log
✓ Detect anomalies across the entire file

Honest disclaimer: compression ratio depends
on how repetitive your log actually is.
Highly repetitive logs → massive reduction.
More varied content → smaller gains.
Real-world range in my tests: anywhere from
20x to 60x depending on the file.

Not zip compression. The output is still
fully readable by any LLM — that's the point.

--- Prompt compression ---

The extension also compresses prompts
before they reach the API.

Short prompts: around 5% savings.
Long, wordy prompts: up to 30-40% savings.

Strips filler. Locks numbers, dates,
names, and code. Tracks wasted spend live.

---

Genuine questions before I launch:

1. Have you ever been blocked by a log file
   that was just too large for AI?

2. Is token cost a real friction point
   in your workflow right now?

Not selling anything yet. Just want honest
answers from people who actually build with AI.
If you want to try it for free, comment "YES" below
, and I'll send you the link directly.