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- Humanize AI Writing: Remove AI Tells, Keep Your Meaning
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Humanize AI Writing: Remove AI Tells, Keep Your Meaning
Humanize AI writing: rewrite AI text so it sounds human, cut filler and stiff rhythm, keep every fact, link and CTA, with a fact check and change log. An editor, not an AI-detector bypass.
$5
Humanize AI Writing: Remove AI Tells, Keep Your Meaning
Example session with this skill installed
source_text: (paste the 513-word Casepoint Public Records article)
audience: Public records managers at state and local agencies
purpose: Inform, then invite a demo
voice: Plain, direct, no hype
must_keep: Every date, certification, integration name and the demo CTA
must_avoid: "seamlessly", "cutting-edge", "revolutionize"
length: Shorter is fine
- Read your context and instructions
- Compiled the humanize ai writing
Humanised rewrite: Casepoint Public Records launch
Status: Draft rewrite (author review required)
1. Edit diagnosis
- Friction: 27 AI-tell phrases, 7 trailing "-ing" clauses, 8 one-paragraph headings, a hype conclusion
- Meaning risks: "revolutionize" and "significant step forward" have no supporting fact
2. Rewritten copy (excerpt)
Requests keep getting bigger and more sensitive. Casepoint Public Records puts the whole job in one place: intake, review, redaction and production. ... People still make the key decisions.
3. What changed
513 → 254 words · avg sentence 24.4 → 14.1 words · tells 27 → 0 · hype conclusion cut
4. Fact and meaning check
| Item | Source | Rewrite | Check |
|---|---|---|---|
| Launch date | October 19, 2026 | October 19, 2026 | unchanged |
| Security | FedRAMP® High, DOD IL 5 and 6 | same | unchanged |
| Integrations | Microsoft 365, Teams, Slack, Google Workspace | same | unchanged |
| AI accuracy | "more accurate identification" | "fewer misses" | needs confirmation |
21 of 21 protected items kept.
Connects securely to your tools. The creator never sees your data.
About this skill
Unlike the free humanize-writing skill, which rebuilds AI drafts from scratch for a "smell score", this one edits conservatively and proves nothing was lost: every rewrite ships with a fact and meaning check table (numbers, names, dates, links, CTAs, caveats) and a change log, and it flags any line that needs the author's sign-off. An editor, not an AI-detector bypass.
Sample run (real data, 23 Oct 2026): a 513-word AI-sounding news article about Casepoint Public Records (third-news.com, 19 Oct 2026). We ran it through the skill's 7-step method, then counted before and after against a fixed list of AI-tell phrases.
- Words 513 → 254 · sentences 21 → 18 · average sentence 24.4 → 14.1 words · longest 40 → 24
- AI-tell phrases 27 → 0 (seamlessly ×2, enhance ×3, ensuring ×2, cutting-edge, revolutionize, navigating, daunting, landscape, realm, "in summary" and more)
- Trailing "-ing" clauses (", ensuring…", ", facilitating…") 7 → 0 · em dashes 4 → 0
- Fact check: 21 of 21 protected items kept (October 19, 2026 · SLED · 30 years · FOIA · eDiscovery · Casepoint IQ™ · Microsoft 365, Teams, Slack, Google Workspace · FedRAMP® High · DOD Impact Level 5 and 6 · audit trails · the demo CTA …)
- Before: "Navigating the complexities of public records requests can be daunting, especially as requests grow in volume and sensitivity." After: "Requests keep getting bigger and more sensitive."
- Before: "…ensures that human oversight is maintained for crucial decisions, thereby balancing efficiency with accountability." After: "People still make the key decisions."
- Cut: "Casepoint is positioned to revolutionize how…". Change log: hype with no fact in it
- Flagged for the author: "with fewer misses" replaces "more accurate identification". Confirm the wording
- Dropped 8 section headings that each wrapped a single paragraph ("Robust Security Measures", "Conclusion")
- No detector score is claimed. The goal is copy people want to read
What it does
- Notes what must not change first (facts, caveats, links, CTA), then diagnoses filler, buzzwords, repeated sentence shapes and stiff rhythm
- Turns your voice brief ("direct, warm, no hype") into concrete choices: sentence length, contractions, directness
- Rewrites conservatively. It never adds facts, anecdotes, testimonials or statistics that aren't in your source
- Returns: edit diagnosis, clean rewrite, what changed, a fact and meaning check table, and an author review checklist
- Takes must_keep / must_avoid lists (e.g. keep the pricing date, avoid "leverage")
Use cases
- Emails, landing-page sections, product updates, press releases and internal notes drafted with AI
- Cleaning up a teammate's AI draft without losing claims, links or legal caveats
- Agency or client copy that needs a reviewable change log
Works in Claude Code, Cursor and Codex · tested on real data · v1.0 updated Oct 2026 · questions answered within 24h More Cygnix tools (Apify actors, MCP server): github.com/cygnixlabs-cmd
Pairs well with (Cygnix Labs, on Agensi):
- Source-Backed Research Brief: Facts, Citations + Angles: gather the facts before you draft (agensi.io/skills/source-backed-research-brief-facts-citations-angles)
- SEO Content Brief (free): a writer-ready outline for the post you'll humanize (agensi.io/skills/seo-content-brief-writer-ready-outline)
- Turn Any Offer into Landing Page Copy That Converts: write the page, then humanize it (agensi.io/skills/turn-any-offer-into-landing-page-copy-that-converts)
- AEO Audit: Get Cited in ChatGPT + AI Overviews: make the cleaned-up page quotable by AI answers (agensi.io/skills/aeo-audit-get-cited-in-chatgpt-ai-overviews)
- Find Decaying Pages: GSC Triage + Content Refresh Plan: find which old posts to rewrite first (agensi.io/skills/find-decaying-pages-gsc-triage-content-refresh-plan)
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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