Who this page is for
For editors, marketers, support teams, and independent writers revising Llama-assisted drafts who need to preserve meaning, source attribution, and practical detail.
Start with the Llama draft’s evidence and instructions
Before rewriting, separate information you supplied from claims introduced in the draft. A convincing product specification, quotation, or reference still needs verification. Open cited sources and confirm that they support the nearby claim; a plausible title or working link is not enough. If your Llama application used retrieved documents, compare against those documents rather than treating the generated answer as the source. Revisit the prompt, too. Did you request a customer reply, an executive summary, or a beginner’s explanation? Check required points, exclusions, and length. Keep a short list of protected details: names, dates, dimensions, quantities, quotations, and citation markers. Humanizing should not quietly change any of them.
Revise for the genre, not an imagined Llama signature
There is no single writing pattern shared by every Llama output. Edit the actual draft rather than assuming a particular model version produces certain phrases. In marketing copy, replace unsupported superlatives with documented benefits. In support replies, put the next action before background explanation and preserve conditions on refunds or eligibility. In technical instructions, keep prerequisites, warnings, units, and step order intact. Remove ceremonial openings such as “In today’s rapidly evolving landscape” when they add nothing. Vary sentence structure where it improves readability, not simply to make prose less regular. Do not introduce anecdotes, personal opinions, or first-hand experience that the author never supplied.
Use Standard mode as one stage of an editorial review
Give Humanizely a coherent passage from your Llama draft and select Standard mode. The free allowance is 500 words per request; split longer documents at section boundaries so qualifications stay with the claims they limit. Read the revision beside the original, checking omissions as carefully as additions. Restore any necessary terminology that became too vague, then check the full document for consistent voice and repeated explanations. Humanizely supports 15 languages, but language support does not replace local terminology checks. For academic or admissions work, follow institutional rules on AI assistance, produce original work, and disclose assistance where required. Neither smoother prose nor a detector estimate establishes authorship or makes prohibited use acceptable.
