A Command R humanizer for retrieval artifacts

Command R is purpose-built for retrieval-augmented generation, answering by grounding claims in a set of retrieved documents and citing which passage supports what. Separated from that pipeline, the text carries a specific residue: bracketed citations, grounding phrases, fragmented structure. This tool targets that residue directly.

The rewrite happens server-side, since turning grounding-shaped text back into ordinary prose takes a language model of its own. The allowance is 5 free runs per rolling 24-hour window, with no account required and no upgrade path attached.

These follow directly from how a retrieval-grounded answer is assembled, setting them apart from a general-purpose model's tells.

Inline citation brackets

Numbers such as [1] or [2] carried over with the text, referencing source documents that no longer exist once separated from the retrieval pipeline.

"Based on the provided context"

Phrasing that only makes sense inside a RAG system, appearing in text now standing without any context attached to it.

"According to the retrieved documents"

A grounding phrase referring to a document set the reader has no access to and the pasted text no longer carries.

Hedged attribution

Claims qualified by their source rather than stated as fact, valuable for traceability inside a RAG system and confusing once separated from it.

Fragmented structure

An answer built from several distinct retrieved passages, connected with transitional phrasing rather than composed as one continuous argument.

The process is short by design: three steps, no configuration.

Step 1

Paste the Command R-drafted text: an answer, a paragraph, a full section of a document.

Step 2

Run it. The text is sent to our AI server, rewritten, and returned within a few seconds.

Step 3

Review the result against the source, then copy it. The interface shows how many of your 5 runs remain in the current window.

The rewrite operates directly on the patterns above: it strips citation brackets, converts grounding phrases into direct statements, and stitches fragmented sections into one continuous line of argument.

It does not add, remove or reinterpret facts. Names, figures, quotations and the sequence of your points are preserved. Verifying any factual claim independently remains the user's responsibility, since a retrieval-grounded answer is only as reliable as the documents it drew from.

The model is specifically tuned for retrieval-augmented generation: given a set of documents, it answers by grounding claims in them and citing which passage supports what. That is precisely the traceable, checkable behaviour a RAG system requires.

The same grounding language, copied out of the pipeline it was built for, reads as vague and citation-shaped rather than as confident, self-contained prose, because it was never designed to stand alone. The model is doing exactly the job it was tuned for, in a place that job does not fit.

No, and we state that plainly. We do not test this tool against AI-detection services, we do not tune its output against any detector's scoring, and we make no claim about what a detector will report after a rewrite. Detector methods are not public and are not something we can reliably predict.

The rewrite's honest, verifiable effect is cleanup: citation brackets removed, grounding phrases made direct, fragmented sections joined into continuous argument. That improvement holds on its own merits. Treat any product, ours or a competitor's, that promises a guaranteed detector outcome as making a claim it cannot back.

Teams building on a Command R retrieval pipeline use it when an answer needs to leave an internal tool and reach a customer-facing document, once the facts are checked against the actual source documents.

Students use it to bring an AI-assisted draft back toward their own voice, governed entirely by their institution's own policy on AI-assisted writing tools, a policy this product does not set and cannot interpret on anyone's behalf. Writers reach for it whenever pasted Command R text arrives with bracketed numbers pointing at nothing.