Use 70% Fewer Tokens. Work Within AI Limits Longer.
Markdown isn't just cleaner—it's dramatically more efficient. Get more context into every AI conversation.
Real Example: Token Comparison
Same Document, Different Formats:
| Format | File Size | Tokens Used | Efficiency |
|---|
| Word (.docx) | 245 KB | 68,000 tokens | ⚠️ Hits limits fast |
| PDF | 892 KB | 71,000 tokens | ⚠️ Worst efficiency |
| Google Doc | 198 KB | 65,000 tokens | ⚠️ Still bloated |
| Markdown | 12 KB | 22,000 tokens | ✅ 3x more efficient |
What this means: For the same AI context window, you can fit 3 markdown documents versus 1 Word document. Your team can share comprehensive context without compromise.
Universal Format, Maximum Efficiency
We automatically convert your existing files to markdown not just for compatibility—but for token efficiency. Every conversion strips formatting bloat while preserving meaning.
Share More, Use Less
When you share a folder URL containing 10 markdown documents, you're giving AI rich, comprehensive context. The same 10 documents as PDFs might exceed token limits before AI even reads them all.
Future-Proof Your Context
As AI models evolve, markdown remains the universal standard. Your context library stays efficient and compatible regardless of which new AI tools emerge.
💡 For Technical Teams: Markdown's token efficiency comes from plain text structure (no binary overhead), semantic formatting (headers, lists, emphasis only), no embedded objects or metadata, and direct tokenization without preprocessing. This means predictable token usage, faster AI processing, and consistent cross-platform behavior.
Other platforms upload files and hope for the best.
AI Context Keeper converts everything to token-optimized markdown, ensuring you get maximum context into every AI conversation—without hitting limits or compromising completeness.
Your team shares more comprehensive context, gets better AI outputs, and never has conversations interrupted by "context too long" errors.