Humanize AI reports so the findings sound like findings
Reports are where AI drafting has quietly become normal: the weekly status update, the quarterly review, the project post-mortem, the NGO field report to a donor. The model is given the numbers and the bullet notes and produces a document that is structurally perfect and tonally empty. Every finding is "notable". Every recommendation "should be considered". The reader finishes it knowing what happened and not what anyone thinks about it. Humanize 360 is used on reports by people who need the document to carry a judgement.
The AI habits in reports: an executive summary that lists the sections rather than the conclusions, "it is recommended that" in the passive throughout, transition words opening every paragraph, and uniform paragraph weight across findings of very different importance.
The engine keeps your headings, lists and figures, and rewrites the prose around them. Paste the executive summary above to start. Free for 300 words; upload the full report with an account.
Protect these
- All figures, percentages, dates and currency amounts. Left alone by default.
- Table and figure references ("see Table 3"), section cross-references and appendix labels.
- Names of people, organizations, projects, sites and funders.
- Defined terms and acronyms, once expanded. Add them to the protected list.
Mode and strength by section
Executive summary and findings: Standard at Balanced, so the prose has judgement and rhythm. Methodology and data sections: Formal at Light, keeping precision. Recommendations: Standard at Balanced, then rewrite each passive "it is recommended" into "we recommend" by hand. For donor and board reports where register matters, Formal at Balanced throughout. A programme manager in Kampala who writes monthly donor reports humanizes the narrative sections with Formal at Light and pastes them back around the tables.
What the reader wants that the model omits
The three things that matter, in the first paragraph, in order of importance. What surprised you. What you would do differently. Which recommendation you would fight for if only one were funded. A finding stated as a sentence with a subject who did something, not as a noun phrase. The engine removes the sameness; the author supplies the judgement.
Check before circulating
Run the executive summary through the free detector at /ai-detector and look at the transition-word and paragraph-uniformity signals. Read the first sentence of each finding in a row; they should differ in length and weight. Check every cross-reference against the table it points to; the engine keeps them, but the humanized text around a reference should still describe the right table. Run the grammar checker at /grammar-checker last.
Common questions
Will the tables survive the upload?
Headings, lists and paragraphs are kept in DOCX and PDF downloads. Tables are not guaranteed, so for a report with tables, humanize the prose sections separately and paste them back into your original file.
Can I humanize just the executive summary?
Yes, and it is often enough. Paste the summary alone, or use selective rephrase on individual sentences within a longer document on the Standard plan and above.
Is a confidential report safe to upload?
The engine is our own code and never sends text to a third-party AI. Uploaded files are deleted after seven days, and signed-in history can be deleted at any time.
Does Formal mode remove all contractions?
Yes. Formal and Academic modes never add contractions and remove any in the draft. Standard keeps a natural rate, which is usually right for internal reports.