CORE PRODUCT · The intelligence layer

the Harness

Fetch the big stuff once, not on every request.

Your AI keeps re-reading the same heavy documents. The Harness trims every prompt and caches those docs, so a 726,000-token library file gets fetched one time, not on every single request. It is the efficiency engine inside coreCerebrum, and it sells on its own.

14-day free trial · no card

The same big doc, every request
auto-playing
📄
library-reference.md
726,000 tokens · your AI re-reads it constantly
Without the Harness
req 1 · 726K
req 2 · 726K
req 3 · 726K
…every request
Sent so far
0
With the Harness
req 1 · 726K cached
req 2 · ~0
req 3 · ~0
fetched once, reused
Sent so far
0
Tokens the Harness saved0%
Prompt trimmingHeavy-doc cachesells standalone

726K-token doc from byCORE’s own use. Part of coreCerebrum, or standalone.

How it works

Three steps, and it runs itself.

01

Trim every prompt

Strip the dead weight before anything is sent to the model.

02

Cache the heavy docs

A 726K-token library file is fetched once, then reused from cache.

03

Reuse across the team

Everyone draws on the same cache, so nobody re-sends the same thing.

What you get

Everything the Harness does.

Prompt trimming

Less sent, the same answer back.

Heavy-doc caching

726K-token docs fetched once, not every request.

Team-wide reuse

One cache the whole org shares.

Works with your AI

Claude, ChatGPT, and Gemini.

Sells standalone

Run it on its own or inside coreCerebrum.

The engine under Cerebrum

It is what makes the 63% bill cut possible.

Proof

A 726K-token doc fetched once instead of on every request. Part of coreCerebrum’s 63% bill cut.

Prompt trimDoc cacheStandaloneClaudeChatGPTGemini

Figures from byCORE’s own use. Illustrative where noted.

Who it’s for

Developers and teams whose AI reads the same big documents over and over.

One account. Every product. 14-day free trial, no card.