About Tokenade
Tokenade makes AI agents affordable by automatically cutting the tokens your agents consume — without changing how you work.
Who we are
Tokenade is built by Paul Irolla, an independent developer who got tired of watching AI agent bills spiral month after month. The mission is simple: make the productivity gains of AI coding accessible to every developer, not just those with a generous expense account.
Why we built it
Modern AI agents — Claude Code, Cursor, Codex, Copilot, Windsurf — are powerful, but they are voracious token consumers. Every file read, every tool call, every context window refill adds up. A productive day of AI-assisted coding can quietly burn through tens of millions of tokens.
We built Tokenade to make token reduction automatic and measurable. Instead of manually pruning context or guessing which calls are expensive, Tokenade intercepts the flow — semantic code search replaces full-file reads, output filtering strips noise before it reaches the model, skeleton compression shrinks large files to signatures, and lazy MCP loading defers tools until they are actually needed. The savings dashboard shows you exactly how much you saved and what it cost before.
What makes Tokenade different
- 1
Works with every major AI agent — Claude Code, Cursor, Codex, Copilot, Windsurf — via a single MCP server layer, zero per-agent configuration.
- 2
Runs locally: compaction happens on your own machine, so your codebase is never uploaded for analysis — only usage accounting reaches our servers.
- 3
7-day free trial, then 1% of the API value of the tokens it saves — you only pay on real savings.
See it in action
The fastest way to understand what Tokenade does is to read the full breakdown of how it cuts token usage in practice.
See how Tokenade worksGet in touch
Questions, feedback, or partnership enquiries? Head to our contact page — we read everything.
Contact page