No more wasted tokens
Never worry about prompt engineering again. Token Genie intelligently restructures and compresses your prompts to decrease token usage while preserving the context and optimizing results.
Desktop compatibility coming soon!
Hey, I'm trying to build a small web app and I need your help. Could you Write a JavaScript function that fetches data from an API endpoint, checks if the response is OK, parses the JSON, and then returns just the array of results? Please include error handling and a short explanation of how it works.
Write a JavaScript function that fetches data from an API, checks the response, parses JSON, and returns the results array. Include error handling and a brief explanation.
- 48%
- average tokens cut
- 100%
- context preserved
- 0
- constraints lost
Works on
Ten real prompts, graded by a model that never saw the original.
Compression is easy if you're allowed to lose things. Every rewrite is checked three ways: a rule hunting for dropped numbers and constraints, a judge model deciding whether both prompts get the same answer, and a floor on prompts that were already tight.
tokens cut
context kept
checks passed
The bottom two rows are the point. A prompt with nothing to cut comes back untouched — Token Genie would rather return your words than invent a saving.
Less than the tokens it saves.
Both plans are the same product. The only difference is how often you think about paying for it.
Cancel whenever you like
- Unlimited compressions
- All 11 supported chat sites
- Fidelity warnings before you apply
- Reused-prefix cache, instant repeats
$3.33 a month — two months free
- Unlimited compressions
- All 11 supported chat sites
- Fidelity warnings before you apply
- Reused-prefix cache, instant repeats
If you pay per token through an API, halving your input halves that line of the bill. On a flat monthly plan the win is headroom instead — a context window that holds roughly twice the conversation.
The ones worth asking.
That's the failure mode the whole thing is built around. Numbers, filenames, URLs, function names, output formats and explicit prohibitions are protected, code blocks pass through untouched, and the ask is compressed far more gently than the background around it. Anything that does go missing is flagged before you apply it.
Not in testing. Every compressed prompt is checked against the original for dropped numbers, filenames, constraints, and overall intent. The meaning stays intact; only the padding leaves.
You get it back nearly unchanged — 8% off an already-tight prompt, 0% off a one-liner. Padding the numbers by cutting real content is treated as a bug, and a test in the suite fails if it starts happening.
No. Write the way you normally write — rambling, polite, repeating yourself. That's the input it was built for. The button does the editing.
To the compression service and nowhere else. Compressed segments are fingerprinted and held for a day so repeats are instant, then dropped. Nothing is used for training.
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Write however you like. One click before you send trims it down to what the model actually reads — every constraint still in place.
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