Question 1

What does BENCH do?

Accepted Answer

Connect your GitHub repository or upload your prompts, add any business context you want, and BENCH defines what a good output looks like, creates tests, compares prompts and models, then recommends an affordable setup

Question 2

How does BENCH lower our AI cost?

Accepted Answer

BENCH tries different prompts and models, checks which options still give good outputs, then recommends the most affordable one, for some jobs that may mean GPT-5.4 mini instead of Opus 4.6

Question 3

How do we know BENCH's recommendations work?

Accepted Answer

BENCH double-checks the rules, test examples, and scores in a separate review, AI outputs can still vary, but BENCH reduces that variation and shows your team the evidence before anything changes

Question 4

Does BENCH keep improving after the first check?

Accepted Answer

Yes, BENCH watches real customer conversations, spots new problems, updates its tests, re-runs the checks, and prepares the next improvement as your product and models change

Question 5

What happens to our code?

Accepted Answer

BENCH only accesses repositories your team approves through GitHub, access stays limited to that installation, and your team can review what BENCH reads before setup begins

Question 6

Which Git tools and AI frameworks does BENCH support?

Accepted Answer

GitHub works today and GitLab is coming soon, BENCH can work with any AI framework because it follows where your product sends instructions to an AI model

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