Question 1

Is there an alternative to burning LLM credits all day?

Accepted Answer

TokenSaver is a product seat with a hard spend cap. Daily house checks run without feeding the token meter. You pay $1 to start, proof shows tokens avoided, then 10% of proven savings — still inside your cap.

Question 2

Why do AI token bills get out of hand?

Accepted Answer

Status dumps, retries, and chatty agents eat quota. TokenSaver meters what you avoided and caps what you owe. When cloud quota runs out, your seat keeps answering from disk.

Question 3

What happens when my Cursor quota runs out?

Accepted Answer

The seat stays on. Zero LLM tokens on daily asks that hit the house path. Proof meter on the seat · spend cap you set · billing stops at the cap.

Question 4

How is this different from Pilot Program?

Accepted Answer

Pilot Program is people — professional testers on your stack. TokenSaver is product — $1 seat, meter, cap. See hitme.dev for both.

Question 5

What does own the answer on disk mean?

Accepted Answer

Your seat keeps answers on your box — cite who said what · web when needed · not rent-by-default on every ping. The meter shows tokens you did not burn.

Question 6

Why prove savings before you pay?

Accepted Answer

You see asks · tokens avoided · USD modeled on meter.json before billing kicks in. $1 start · proof phase · then 10% of proven savings inside your cap.

Meter dependencies

Ellie HP lab seat

Penguin · Jane Kell

Linode · tokensaver.hitme.dev

KEEL_SEAT_METER.json

TOKEN_SAVINGS_ALL_MACHINES.json

Static export

Billing phase