Use Editorial Prover with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Every AI agent writes the same way. uniform sentences, identical rhythm, filler words. Editorial Prover breaks the pattern with a structured self-audit: name t
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete Editorial Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Editorial Prover.
01
1 capability in this set.
Part of 1 available through Editorial Prover.
- 01
Audit copy
This is a self-audit. the act of answering these questions forces higher quality writing. Works for ANY language. You must: (1) name the SPECIFIC AUDIENCE. not "developers" but "backend engineers building CI/CD pipelines who are evaluating whether to build or buy their deployment tooling," (2) explain WHY your HOOK grabs. what position does the headline take? What promise does it make? What urgency does it create? A headline that merely describes the content is not a hook, (3) describe SENTENCE RHYTHM with word counts. vary consciously. Short punches (4-6 words) mixed with longer explanations (25-35 words). If all sentences are 15-20 words, the rhythm flatlines. Human writing has burstiness, (4) identify the WEAKEST SENTENCE. copy it, explain why it is weak, decide: keep, rewrite, or cut. Every section has a weakest sentence. Finding it makes the section stronger, (5) map PARAGRAPH STRUCTURES. each paragraph should have a different architecture. P1: question→answer. P2: claim→evidence. P3: story→lesson. P4: single-sentence impact. No two paragraphs should mirror each other, (6) purge AI FILLERS. check for and remove: "It is important to note," "In order to effectively," "It should be mentioned," hedging phrases, repetitive transitions ("Furthermore," "Additionally," "Moreover" in sequence). These are AI fingerprints. If rejected, rewrite the flagged issue and re-call. Editorial thinking amplifier for any AI agent that writes content, in any language. Forces structured editorial self-audit through 5 Decision Pivots about the reader, the hook, the rhythm, the weakest sentence, and paragraph structure. The act of answering these questions IS the quality improvement. Includes language-agnostic burstiness validation as consistency backup. Based on burstiness analysis (GPTZero 2024) and syntactic template detection (Northeastern 2025). Catches Unfocused Writing (no specific audience. "for developers" when the real audience is "backend engineers debugging production memory leaks at 2 AM"), Weak Hooks (headline that describes instead of committing. "An Introduction to Caching" vs "Your Database is Doing Work It Already Did. Stop That"), Monotone Rhythm (every sentence is 15-20 words, same structure. subject-verb-object on repeat. Human writing bursts: 4-word punch. Then a 35-word explanation that winds through a subordinate clause. Then another punch. AI writing flatlines), Bloated Prose (filler sentences that say nothing. "It is important to note that..." "In order to effectively..." "It should be mentioned that...". cut all of them), and Repetitive Structure (every paragraph follows claim→explanation→example. Humans vary: question→answer, story→lesson, evidence→conclusion, single-sentence paragraph for impact). Call BEFORE publishing any written content
Observed, not estimated
896ms average. Fast in production.
Editorial Prover is checked daily against the live service.
- Fastest day
- 730ms
- Slowest day
- 1325ms
- 14-day trend
- Improving-36%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Editorial Prover, so you can see the experience inside your AI.
It does not authenticate your account with Editorial Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Editorial Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_CcVGSQv7Lh5KyAEjIKqPOAvEmrf2zKqxShL3BZnX/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Editorial Prover capabilities are ready to use.
{
"mcpServers": {
"editorial-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_CcVGSQv7Lh5KyAEjIKqPOAvEmrf2zKqxShL3BZnX/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Editorial Prover owners ask.
- 01
Does Editorial Prover detect AI-generated text?
No. and that's intentional. Detectors catch problems after the fact. Editorial Prover prevents them at the source by forcing the agent to think like an editor BEFORE writing. The only server-side check is burstiness (sentence length variance), which is a language-agnostic mathematical validation, not a detection algorithm.
- 02
Does it work for languages other than English?
Yes. every language. The 5 Decision Pivots are universal editorial questions (who is the reader? does the opening grab? which sentence is weakest?) that work regardless of language. The burstiness check splits on sentence-ending punctuation (periods, question marks, exclamation marks. including CJK equivalents) and measures word count variance, which is pure math. There are no English-specific blocklists or grammar rules.
- 03
Why does the agent send its own verdict instead of the capability computing it?
Because the commitment IS the thinking. If the server computed the verdict automatically, the agent would fill in fields mechanically without reasoning about the outcome. By forcing the agent to declare 'I believe this is PUBLISH_READY' and then validating that declaration against the pivots, the agent must actively reason about whether its editorial self-assessment is consistent. This is the same pattern used by Sequential Thinking. the LLM decides when it has thought enough, which is what makes it think more.
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