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Check your copy before it ships

· 4 min read

A piece of copy can read perfectly well and still break three rules you care about. Marketing teams in regulated spaces know the feeling: the line sounds great, legal sends it back, and the round trip costs a week. The question worth answering is the one you can ask before anyone signs off. Does this copy meet our own standard?

Scoring answers it on text you already have. Paste the finished line, score it against a compliance rubric backed by your regulation documents, and read a per-clause verdict. No model generates anything; the judge reads your words and reports where they conflict with your rules.

A line that looked fine

Here is a real example, a product line that would sail through a casual read.

The copy under review

“LLM Prover gives you the most accurate model scoring available, with RAG context and compliance checks built in, so you always know your AI is right.”

The standard it was scored against is a marketing communications compliance rubric, backed by regulation documents that spell out what the copy may and may not claim.

The rubric (four clauses, each tied to the regulation)

  • Superlatives: no absolute performance claims (“most accurate”, “always correct”) without cited benchmark data.
  • Tier clarity: any gated feature named must state the tier it needs.
  • Pricing: figures cited must match current published pricing.
  • Fabrication: no invented testimonials or claims presented as real.

The verdict, clause by clause

The copy scored 50 out of 100. Two clauses passed, two failed, and the failures came with the exact phrase at fault and the regulation text behind it.

What the judge returned

  • Superlatives: fail. “most accurate” and “always” are absolute performance claims with no cited benchmark data.
  • Tier clarity: fail. RAG context and compliance scoring are gated features, and the line names no tier.
  • Pricing: pass. No pricing figures stated.
  • Fabrication: pass. No testimonials or invented claims.

That is the difference between a reviewer saying “this feels off” and a report that names the two phrases, cites the clause each one breaks, and leaves nothing to argue about. The fix writes itself: cut the superlatives, name the tier.

The revised copy

“LLM Prover blends heuristic and LLM-judge scoring to rate model output against your rubric. RAG context and compliance scoring are available on Pro and above.”

Scored against the same rubric and the same documents, the revision came back at 100 out of 100.

Compliance score, same copy, before and after one fix (out of 100)

Per-clause scores for the same copy, before and after a single edit

Score your copy against your own standard

Compliance scoring pairs a rubric with your regulation documents. Available on Pro Plus and above.

See Pro Plus

Why score the text, not a model’s version of it

There is a subtle reason scoring is the right run type here. An evaluation that runs a model first would feed your copy to that model, let it respond, and score the response. The model tends to paraphrase, and a paraphrase can quietly launder out the exact phrase you needed to catch. Run the line above through a generate-then-judge flow and the superlative can vanish before the judge ever sees it.

Scoring removes that gap. It judges the words you supplied, so a superlative in your copy is a superlative the judge reads. When the thing under review is a finished artifact, scoring it directly is the honest measurement.

One boundary worth stating plainly: a compliance score is an indicator, not a certification. It shows where your copy conflicts with the clauses you supplied, which is a strong signal for the human who signs off, not a substitute for them. The value is in the per-clause reasoning, so read it.

Compliance scoring is available on Pro Plus and above, the same gate as compliance mode in Evaluate. The faster your copy meets your own standard, the less of it comes back from review.

What’s next

compliance evaluation score