A lab for spending
tokens well
tokenlabs looks for ways to finish the same job with fewer tokens. The work comes down to three things.
- 01 / Measure
Count
We start by checking what one request really costs. You can't plug a leak you haven't found.
- 02 / Reduce
Trim
We strip out repeated instructions and context the model never uses. We stop right before the answer changes.
- 03 / Choose
Route
We match each job to the right model, cache and output length. Big models go only where they earn it.
How we cut
Same answer, smaller prompt
Removed · greetings, repetition, filler
Kept · only the words that change the answer
Field notes
Questions we're working onSame work, fewer tokens.
Every token we save goes into the next experiment.