We’re thrilled to announce that our team has leveraged cutting-edge AI to deliver a seamless onboarding experience, cutting setup time by 40%. This milestone underscores our unwavering commitment to innovation and operational excellence.
Less slop, more pop in all your writing.
Cut generic AI phrasing from your next draft.
Zero Slop flags stock phrases and lets you review an edit beside your original. Use it for emails, posts and documents.
8.1k+ npm downloads
Demo transcript. Five illustrative examples, each shown as an original draft, visible changes, and a rewrite.
LinkedIn. Original: Kairoset now exports up to 50,000 records in one batch, representing a significant milestone in our journey. It is important to note that the previous limit was 5,000 records per batch, underscoring our commitment to continuous improvement. Writing score: 77. Lower is better.
LinkedIn. Changes: the film strikes through removed words and underlines additions. Original: Kairoset now exports up to 50,000 records in one batch, representing a significant milestone in our journey. It is important to note that the previous limit was 5,000 records per batch, underscoring our commitment to continuous improvement. Rewrite: Kairoset now exports up to 50,000 records in one batch. The previous limit was 5,000 records per batch.
LinkedIn. Rewrite: Kairoset now exports up to 50,000 records in one batch. The previous limit was 5,000 records per batch. Writing score: 15.2. Lower is better.
Document. Original: As we move forward, actionable next steps include Maya taking ownership of the pricing review. It is important to note that the team will review her proposal on Friday before making a decision. Writing score: 92.7. Lower is better.
Document. Changes: the film strikes through removed words and underlines additions. Original: As we move forward, actionable next steps include Maya taking ownership of the pricing review. It is important to note that the team will review her proposal on Friday before making a decision. Rewrite: Maya owns the pricing review. The team will review her proposal on Friday before it makes a decision.
Document. Rewrite: Maya owns the pricing review. The team will review her proposal on Friday before it makes a decision. Writing score: 9.5. Lower is better.
Blog. Original: In today's fast-paced digital landscape, it is essential to understand the importance of clear onboarding. Our trial followed 24 new hires for two weeks. Twelve needed help finding the expense form, highlighting an opportunity for improvement. Writing score: 77.8. Lower is better.
Blog. Changes: the film strikes through removed words and underlines additions. Original: In today's fast-paced digital landscape, it is essential to understand the importance of clear onboarding. Our trial followed 24 new hires for two weeks. Twelve needed help finding the expense form, highlighting an opportunity for improvement. Rewrite: Twelve of 24 new hires needed help finding the expense form. Our trial followed them for two weeks.
Blog. Rewrite: Twelve of 24 new hires needed help finding the expense form. Our trial followed them for two weeks. Writing score: 13.3. Lower is better.
Research paper. Original: It is worth noting that our observational study of 32 teams found an association between shorter meetings and fewer reported delays. These findings offer valuable insights; the small sample does not establish causation. Writing score: 79.3. Lower is better.
Research paper. Changes: the film strikes through removed words and underlines additions. Original: It is worth noting that our observational study of 32 teams found an association between shorter meetings and fewer reported delays. These findings offer valuable insights; the small sample does not establish causation. Rewrite: In our observational study of 32 teams, shorter meetings were associated with fewer reported delays. The small sample does not establish causation.
Research paper. Rewrite: In our observational study of 32 teams, shorter meetings were associated with fewer reported delays. The small sample does not establish causation. Writing score: 9.5. Lower is better.
Email. Original: I hope this email finds you well. I wanted to reach out and circle back on the contract. Please send your comments by Thursday so we can sign on Monday. Thank you in advance. Writing score: 96.3. Lower is better.
Email. Changes: the film strikes through removed words and underlines additions. Original: I hope this email finds you well. I wanted to reach out and circle back on the contract. Please send your comments by Thursday so we can sign on Monday. Thank you in advance. Rewrite: Please send your comments on the contract by Thursday so we can sign on Monday. Thank you in advance.
Email. Rewrite: Please send your comments on the contract by Thursday so we can sign on Monday. Thank you in advance. Writing score: 9.5. Lower is better.
Examples: before and after.
Illustrative edits across social posts, email, release notes, and technical writing.
We cut onboarding setup time by 40% using AI.
In today’s rapidly evolving landscape, AI is enabling content teams to accelerate the drafting process while maintaining authenticity. In this article, we’ll explore how thoughtful review workflows can bridge the gap and empower writers to create meaningful content.
AI helps content teams draft faster without losing their voice.
To unlock scalable value, the organization should leverage a comprehensive, cross-functional transformation framework that aligns AI-enabled operating models with strategic priorities.
This integrated approach will empower teams to optimize decision-making and drive sustainable impact across the enterprise.
The organization should use one cross-functional plan to align its AI operating models with its priorities.
AI is transforming how we write, but here’s what nobody tells you: the future isn’t about replacing writers.
It’s about leveraging AI to accelerate the drafting process while unlocking the unique human creativity that makes great writing possible. A thread 🧵
AI can speed up drafting without replacing writers.
Human creativity still makes great writing possible.
Unlocking Next-Generation Commercial Excellence
- Leverage cutting-edge, AI-enabled workflows to seamlessly streamline the sales cycle.
- Utilize a shared account brief to foster cross-functional alignment.
- Drive sustainable growth by measuring lead-to-contract time.
Shorten the sales cycle with AI
- Use one account brief across teams.
- Measure lead-to-contract time to support lasting growth.
Run it on your own draft, right now.
Paste a draft. See what changed, what stayed, and why.
Try it on your writingFree. No account.
- Version
- Zero Slop v2.12.26
- Scoring
- in your browser, nothing sent
- Rewriting
- hosted; Zero Slop does not store your draft or rewrite
- Installed
- uses your AI assistant; local checks stay local
These are results from a small test, not a guarantee for your writing. In a separate speed test on one Apple silicon Mac, the scoring tool checked a median of 501.8 documents per second. That excludes AI editing time. Read the test methods and results
Give the reader a point they can use.
Stock phrases can bury the request in an email or the decision in a team update. Zero Slop flags the wording so you can decide what to change.
AI slop
Merriam-Webster made slop its 2025 Word of the Year and defines it as digital content of low quality, produced usually in quantity by means of artificial intelligence. In prose, it often appears as stock phrasing, flat rhythm, template structure, and decorative formatting. Researchers found a rise in words associated with LLM use across 15 million scientific abstracts, estimating that at least 13.5% of 2024 abstracts received LLM help.
Workslop
Stanford’s Social Media Lab and BetterUp Labs coined the term in September 2025 for AI-generated work that looks complete but does not give the recipient enough to act.
Patterns readers notice
An analysis of 89,239 Reddit posts found recurring complaints about em dashes, flat rhythm, and formulaic contrasts. The study is exploratory, and none of those features proves AI use. They are prompts to read more closely, especially when several appear together.
How to humanize AI text without changing the facts.
Sources: Merriam-Webster’s Word of the Year (2025), Stanford and BetterUp in Harvard Business Review (2025), Kobak et al., Science Advances (2025), Muñoz-Ortiz et al., Artificial Intelligence Review (2024) on differences in sentence-length patterns, Wikipedia’s editor-maintained catalog of AI writing signs, and the RAID benchmark (Dugan et al., ACL 2024), which found detector performance weakened across attacks, decoding methods, and unfamiliar models. Zero Slop edits the writing instead of guessing who wrote it. The longer guide covers both terms in full.
A quick AI draft can leave more work for the reader.
In the September 2025 survey of 1,150 U.S. desk workers, 40% reported receiving workslop in the prior month. Recipients estimated almost two hours of repair per incident. These are self-reported estimates, not a measure of all AI work.
Read the workslop evidence and practical checks, with the BetterUp and Stanford survey and its limits.
Zero Slop MCP
Add to your AI app or agent.
Connect once, then ask your MCP client to deslop a draft. One request returns the edit, scores and review notes.
- One tool
deslop, with a typed result - Checked outputsource-detail problems return clear warnings
- No keypublic Streamable HTTP, no account required
Connect your client
codex mcp add zero-slop --url https://mcp.zero-slop.ai/mcp- Run the command in your terminal.
- Open Codex and enter
/mcpto confirm thatzero-slopis connected. - Ask:
Deslop this draft.
https://mcp.zero-slop.ai/mcp- Open ChatGPT desktop, then go to Settings → MCP servers → Add server.
- Name it Zero Slop, choose Streamable HTTP, paste the URL above, then save and restart ChatGPT.
- Open a chat, enter
/mcp, enablezero-slop, and ask it to deslop your draft.
claude mcp add --transport http zero-slop --scope user https://mcp.zero-slop.ai/mcp- Run the command in your terminal. The user scope makes it available across projects.
- Open Claude Code and enter
/mcpto verify the connection. - Ask:
Deslop this draft.
https://mcp.zero-slop.ai/mcp- Open Claude or Cowork, then choose Customize → Connectors → + → Add custom connector.
- Paste the URL above and add it. No OAuth or API key is required.
- In a conversation, choose + → Connectors, enable Zero Slop, and ask it to deslop your draft.
On Team or Enterprise, an owner adds it once under Organization settings → Connectors.
Official setup referenceAny other MCP client
Add https://mcp.zero-slop.ai/mcp as a remote Streamable HTTP server with no authentication.
Drafts are processed in memory and excluded from the demo cache. Aggregate service data never includes the draft or rewrite. See what is recorded.
The web editor and MCP use the hosted service. With the installed skill, your AI assistant performs the edit; results and speed can vary by assistant. Installation options.
YouDeslop this release note.
Kairoset 4.0 is now available, and it is important to note that search is now up to 40x faster; in addition, bulk export supports 50,000 records; furthermore, audit logs retain every change for 90 days on every plan. In conclusion, Kairoset 4.0 is now available.
- Score3 tells found
- Interpretsource details noted
- Rewritesource checks applied
- Copy + read aloudclean
- Verify + fresh eyesstatus returned
Kairoset 4.0 is now available. Search is up to 40x faster. Bulk export supports 50,000 records. Audit logs retain every change for 90 days on every plan.
Plugins
Find Zero Slop in Claude, the community Cursor Directory, the Gemini CLI extension gallery, and HOL.
CLI
Edit files or piped drafts.
npx --yes zero-slop@2.12.26 deslop draft.md --genre professional- Files and scripts
- Read a file or stdin. Add
--jsonfor the full result and--require-approvedto exit nonzero when review is needed. - Hosted editing
deslopsends your draft to Zero Slop. Requires Node.js 22+ and internet; no Python or API key.- Offline scoring
score draft.mdchecks writing locally with Python 3. No rewrite or upload.
REST API
The MCP pipeline, over HTTP.
curl --fail-with-body --max-time 75 \
https://mcp.zero-slop.ai/v1/deslop \
-H 'Content-Type: application/json' \
--data '{"text":"Maya owns the pricing review. The team will decide on Friday.","genre":"professional"}'- One JSON request
POST /v1/deslopacceptstext, with optionalgenreandaudience. Up to 20,000 Unicode code points per draft.- Check the result
- The 14-field response includes the edit, scores and review status. HTTP 200 does not mean every check passed.
- Free, shared capacity
- No API key or draft storage. Aggregate metrics remain. Call from your server; handle usage limits.
Benchmarked on public samples of AI writing.
We tested our AI Slop test corpus of deliberately flawed drafts on August 26, 2026. Zero Slop’s edits averaged 12.8 on its own writing score; avoid-ai-writing averaged 23.3. All 4 editors used the same model, with the unedited drafts included for comparison. This historical test does not establish which editor people prefer or how today’s releases compare.
Read the benchmark notespublic samples of writing scored.
We ran Zero Slop over almost 30,000 public samples. The sets answer different questions, so we publish them as checks, not a single accuracy claim.
We also checked the rewrites with AIStoryHub’s public slop checker.
Every workflow used the same drafts.
Editing skills, compared.
This table compares the features documented in each skill’s saved version, not overall writing quality. We audited Zero Slop against six other skills: de-slop, avoid-ai-writing, no-ai-slop, humanizer, unslop-text, and stop-slop. Supported means an implementation is documented. Partially supported means the instructions guide the assistant through the check. Compare four open-source AI humanizers and their measured results.
What each skill actually ships
Scroll the table horizontally to compare all seven skills. This historical editing audit excludes reader-review capabilities that were not assessed for these revisions. First Reader's separate review appears below.
| Capability | Zero Slop | isatimur/de-slop | avoid-ai-writing | petergyang/no-ai-slop | blader/humanizer | JCarterJohnson/unslop-text | hardikpandya/stop-slop |
|---|---|---|---|---|---|---|---|
| Score a draft without rewriting it | Supported | Supported | Supported | Partially supported | Not documented | Supported | Partially supported |
| A slop score you can trace to each phrase | Supported | Supported | Supported | Not documented | Not documented | Supported | Partially supported |
| Machine-readable batch and CI gate | Supported | Supported | Not documented | Not documented | Not documented | Supported | Not documented |
| Rhythm and formatting checks | Supported | Not documented | Supported | Partially supported | Partially supported | Partially supported | Partially supported |
| Checks key details against the original | Supported | Partially supported | Supported | Partially supported | Partially supported | Not documented | Not documented |
| Compares multiple rewrites | Supported | Not documented | Not documented | Not documented | Not documented | Not documented | Not documented |
| Separate grammar and read-aloud passes | Supported | Not documented | Partially supported | Partially supported | Partially supported | Not documented | Not documented |
| Separate post-verification fresh-eyes gate | Supported | Not documented | Not documented | Not documented | Not documented | Not documented | Not documented |
| Catches repetition across your drafts | Supported | Not documented | Not documented | Not documented | Not documented | Not documented | Not documented |
| Learns from your edits, privately | Supported | Not documented | Not documented | Not documented | Not documented | Not documented | Not documented |
| Remembers the fixes you keep | Supported | Not documented | Not documented | Not documented | Not documented | Not documented | Not documented |
| Re-checks what it learned; stale rules expire | Supported | Not documented | Not documented | Not documented | Not documented | Not documented | Not documented |
| Sample-based scoring preferences | Supported | Not documented | Partially supported | Not documented | Partially supported | Partially supported | Not documented |
| A public test suite for its results | Supported | Supported | Supported | Not documented | Not documented | Not documented | Not documented |
| Obfuscation-resistant phrase matching | Supported | Not documented | Supported | Not documented | Not documented | Not documented | Not documented |
| Scores long documents without a hard cutoff | Supported | Supported | Not documented | Not documented | Not documented | Not documented | Not documented |
We checked each complete repository at the saved version linked below. Supported means the repository includes code, saved files, or a named workflow for the check. Partially supported means a prompt asks the model to perform the check. Not documented means we did not find the feature in that version; it is not proof that the tool can never perform it. Not assessed means we have not checked that feature in that version.
First Reader or Zero Slop?
Choose a tool for the review you need.
- First Reader
- Explore where a draft might lose its audience. Two simulated readers react passage by passage; a separate skimmer checks the opening. Notes and attention strips sit beside the draft. It does not rewrite.
- Zero Slop
- Find generic phrasing, revise it, and compare the result with the source. Local checks track names, numbers, quotes, and links. Read-aloud and fresh-eyes passes review the complete edit.
First Reader is not included in the rewrite replay of our AI Slop test corpus: editing is outside its documented scope. Simulated reactions are hypotheses, not measured human behavior. Source-detail checks are not proof that meaning survived.
Source review: September 10, 2026 (Pacific). First Reader at f56f4feb. Its helpers run locally; model cost and privacy depend on the assistant you use.
The installed skill can compare multiple rewrites; the hosted editor uses at most one usable model response. Local voice profiles only exempt selected words from flags. Review edits against your source.
Which revision of each tool was audited
How to use your slop score.
One phrase does not make a draft bad, and formal does not mean fake. Context decides what should change.
Review the meaning, not just the score
The goal is clearer language without changed claims. Review the final edit in context.
Check the details against your original
Zero Slop compares names, numbers, quotes and links with your original. Keeping those details does not prove a claim is true or its meaning unchanged. Your AI assistant also reviews the context; you decide what to keep.
Your sample guides your assistant
Give your assistant a writing sample and explain your preferences. You can also create a local profile so selected words from your sample are not flagged. That profile does not capture your full writing style.
How Zero Slop edits your writing.
The installed skill guides eight editorial jobs; the free web editor combines the AI work into one model response. The final checks run once more on the exact text you receive.
Optional checks can also look for predictable wording and repetition across 3+ related drafts. Neither changes the score.
Share the version you kept
When you share Zero Slop’s draft and your final version, it can compare what changed.
Repeats become rules
A change must recur in separate drafts and be checked against human-written samples before it guides future edits.
A memory that stays yours
Approved guidance stays in local files you can inspect or remove. Guidance that is not confirmed again eventually expires.
↻ improves only from edits you choose to share
The installed skill can learn from edits you share. Hosted editing does not use this private learning loop.
The scoring tool looks at wording, sentence variety, readability, and formatting, and explains what it found. A lower score means fewer flagged writing problems. It does not tell you who wrote the text.
See how the AI slop score works, including its limits, or read the formula and validation notes.
Works with the agent you already use.
Add the skill to an agent that reads SKILL.md files. It uses that assistant’s model and tools; it does not install a separate AI model.
> npx skills add manavmishra/ZeroSlop --global- Installing Zero Slop
- Added SKILL.md
- Connected to your agent
Less slop, more pop in all your writing.
Compatible agents
- Codex
- Claude Code
- Cursor
- Gemini CLI
- OpenCode
- Warp
- Zed
- VS Code
- Any open-source harness
Instructions for checking, rewriting, and copy-editing your draft
slop 100.0
slop 9.5 · clear
Install once. Use for all your AI-assisted writing.
Use the install prompt to let your agent choose the right method, or follow the setup instructions for your assistant.
Ask your agent to edit your writing with Zero Slop.
Free · open source · MIT
npx skills add manavmishra/ZeroSlop --globalThe skills installer detects installed agents. Use --agent to choose a specific target. Installation guide.
Skills and packages
Common questions.
What the tool does, where it runs, and what it costs.
What is AI slop?
AI slop is writing that sounds finished before the thinking is finished. Common signs include stock phrases, vague claims, repetitive structure, flat rhythm, and formatting that works harder than the ideas. Zero Slop shows you where those problems appear.
Is Zero Slop an AI detector?
No. AI detectors try to identify the author. Zero Slop reviews the writing. It flags passages that deserve attention, edits the draft, and checks names, numbers, quotes, and links against the original.
Is Zero Slop just a prompt?
No. It combines eight editorial jobs: scan, interpret, rewrite, protect source details, copy edit, read aloud, verify, and review with fresh eyes. The free web editor uses one successful model response; the score and source-detail checks run in your browser.
Will it change my facts?
It is designed to catch those changes. Before editing, it records names, numbers, quotes, and links. After editing, it checks them again and warns you about anything added or lost. You still make the final call.
Does the scorer send my writing anywhere?
No. The scorer is a local Python script that uses only the standard library. It works offline and needs no account, server, or network connection. The skill itself runs inside the coding or writing agent you already use.
Where can I use it?
Zero Slop works with agents that support SKILL.md files, including Codex, Claude Code, Cursor, Gemini CLI, OpenCode, Warp, and Zed. The repository also documents setup for ChatGPT and Claude.ai.
Is Zero Slop free?
The skill and local scorer are free under the MIT license. Your assistant may charge for model use and applies its own data policies. Hosted editing is free within shared usage limits; local scoring works offline without an account.
What are the hosted editing limits?
Hosted editing allows at most five model calls per client network per UTC day and two per minute, subject to a global budget. The web editor, MCP, REST API and CLI editing share this allowance. Offline scoring does not consume it. There is no reserved capacity or uptime guarantee.
How does Zero Slop learn from my edits?
In the installed skill, a phrase must recur across 3 separate edits; a single word across 5. New guidance must pass the human-writing safety set before it can affect later edits. You can inspect or remove it. Your AI model is not retrained.
What analytics does this website collect?
Custom analytics record website activity and service outcomes without draft text, rewrite text, raw IP addresses, cookies or stable user IDs. Cloudflare Web Analytics and infrastructure records are separate. Global Privacy Control and Do Not Track suppress custom browser events; they do not disable hosted service metrics, usage limits or Cloudflare records. The privacy policy explains these data paths.
Keep only the part you actually want to say.
Zero Slop is free, open source, and installed in one command.
Free · open source · MIT