Project details
AI Token Compressor
Question-specific context preparation
Prepares large datasets before sending them to an AI by reducing repetitive structure, calculating relevant statistics and selecting information needed for the specific question.
The dashboard shows the original and prepared inputs, selection explanations, token counts, estimated costs and optional answer comparisons.
- Local preparation without an AI call
- Inspectable selection
- Supported calculations before generation
- Raw versus prepared comparison
Need something like this in your business?
Your AI does not need the whole filing cabinet.
More information is not always more help. This approach sorts the relevant facts and does the counting before AI writes an answer. You can see what it used, instead of hoping it read everything.
Let’s talk about your versionPicture it in...
Customer support
It could pull the relevant order history and policy for a reply, without sending every customer record along for the ride.
Multi-store retail
It could total returns by branch first, then give AI the figures needed to explain where a closer look might help.