Hire an AI article evidence and copy editor
Share the full draft, sources and intended point, plus voice notes when available. You get the draft, claim list and round record.
What you give
- The finished draft with its title, links and sources
- Your brand brain, for the voice check and the claims register (advised)
- The product's real facts, if the piece names one (optional)
What you get
- The piece, edited and formatted, ready to paste
- Every claim without proof, with the line it sits in, for you to fix
- The one sentence the piece says, checked against yours
- The main cuts and voice fixes, each with its reason
An example
You publish articles or guides and want the same checks on every one before it goes live.
You ask: “Share the full draft, sources and intended point, plus voice notes when available. Use the material I attach and ask for anything essential that is missing.”
You get back:
- One sentence. What the piece says in one line, and whether it matches the sentence you gave.
- Claims for the writer. Every claim without proof, the line it sits in, and what would prove it. Nothing is fixed for you.
- What changed. The main cuts and voice fixes, each with its reason.
An example, not your task.
Hire this specialist
It is free and needs no account. Download the pack, give it to your AI and tell it the job. Your AI asks for anything it is missing, then does the work and checks it.
Related specialists
Details
Everything it can hand back
Your task sets the actual outputs. The specialist picks the methods that cover them.
- The piece, edited and formatted, ready to paste
- Every claim without proof, with the line it sits in, for you to fix
- The one sentence the piece says, checked against yours
- The main cuts and voice fixes, each with its reason
- A quotable score per round and whether the loop passed
- The one thing your drafts keep needing, from the log
How it does the job well
- Clarify the purpose, audience and limits, such as length, format and deadline, first.
- Use the user's materials and voice. Ask for samples when tone matters.
- Be specific and concrete. Cut what does not serve the purpose.
- Say what you are unsure of and where to check it.
Mistakes it avoids
- Smoothing a writer's voice into nobody's.
- Fixing a claim by softening it. Flag it instead.
- Adding a statistic to make a point land.
- Generic output that ignores the user's details.
- Inventing facts, quotes or sources.
- Long answers when a short one was asked for.
What a good result looks like
An example, not your task: You publish articles or guides and want the same checks on every one before it goes live.
- One sentence. What the piece says in one line, and whether it matches the sentence you gave.
- Claims for the writer. Every claim without proof, the line it sits in, and what would prove it. Nothing is fixed for you.
- What changed. The main cuts and voice fixes, each with its reason.
- Scores. The quotable score for each round, and whether the loop passed or stopped at three.
- The piece. The final title, summary and formatted body, ready to paste.
- Pattern. The one thing your drafts keep needing, read from the log.
How the work is checked
- No claim, number or quote was changed or added.
- Every unsupported claim is in the writer's list with its line.
- The piece still says what the writer meant, in one sentence.
- Every round's score is recorded.
- States which checks passed, failed or could not run, and names missing inputs.
These checks have not been run against a model yet. Your AI uses them to check its own work.
A second opinion
Before it hands back, your AI reviews the draft the way William Zinsser and Stephen King would. This is a way of reviewing the work. It does not mean they wrote or endorse it.
Capabilities
- Read the piece once. Writes the one sentence the piece says and stops to ask if it differs from yours.
- Match claims to proof. Lists every claim without proof for you, and never adds a source you did not give.
- Edit plain. Cuts clutter, turns passive to active and splits double sentences, keeping your voice.
- Check the voice. Ranks off-voice lines against your brand brain and fixes them.
- Put the answer first. For guides and FAQs, opens each section with its answer.
- Score how quotable it is. Scores each passage, applies rewrites that keep the meaning, and loops back to the editor while the score is low.
- Format it. Tidies title, summary, headings and lists once the checks pass.
- Log and hand back. Records rounds and scores, then stops. You publish.
How the role works
- Checks your task, context and available tools.
- Picks the methods needed and prepares a work plan.
- Carries out supported tasks, with each method's limits and review gates.
- Checks the real deliverables and corrects supported faults.
- Hands back files, evidence and unresolved gaps.
Your specialist's working setup
Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.
Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.
Use this specialist through MCP or the API
Call prepare_specialist with role_id blog-post-publish-check-loop only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.
For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.
Complete ZIP: Download base specialist. API: GET /api/v1/specialists/blog-post-publish-check-loop/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.
Inputs and helpful context
The specialist starts from the task brief. Only active methods require their inputs.
For the primary method, when used
- The finished draft with its title, links and sources
- Your brand brain, for the voice check and the claims register (advised)
- The product's real facts, if the piece names one (optional)
- What kind of piece it is and the one sentence it is trying to say (advised)
Helpful context (optional)
- The sources behind each number in the draft
- Two past pieces you were proud of, so the voice check has your bar
Tools and access
- Claude Code: It can read the draft from your repo, keep the log between pieces and run on each ready draft.
- Any good chat AI: Paste the agent and the draft. Attach the brand brain for the voice and claims checks.
- Any good chat AI: Listing claims and matching them to proof is text work any strong chat AI does well with this skill.
- Any good chat AI: Editing a draft with a fixed list of moves is text work any strong chat AI does well with this skill.
- A read-aloud tool: Hearing the result spoken shows where a line does not sound like you.
- Any good chat AI: Rewrites and checks sections under the rules. Always edit the result in your own voice.
- Google Search: People Also Ask boxes give the FAQ questions to add at the bottom.
Functions and deliverables
- Article evidence and copy editor: Check a draft's source support, improve wording and structure, then return the edited piece and unresolved claims after at most three rounds.
- The piece, edited and formatted, ready to paste
- Every claim without proof, with the line it sits in, for you to fix
- The one sentence the piece says, checked against yours
- The main cuts and voice fixes, each with its reason
- A quotable score per round and whether the loop passed
- The one thing your drafts keep needing, from the log
- Claim evidence checker: Share your copy and evidence. See which claims are supported, which go too far and how to fix them.
- Unique stated and implied claims, with proof or a gap flag
- Evidence scope, dates, quote permissions and claim-by-claim findings
- An evidence-match score with evaluated/total coverage
- A fix for each gap and any separate rule checks still needed
- Plain English editor: Paste a draft and get it back in plain English, with every cut explained and a read-aloud check. Edit stiff emails, reports and pages.
- The edited text in plain words
- A list of every cut or swap, with its reason
- The point of the piece in one sentence
- Questions where a fact was missing
- Draft brand voice checker: Share a draft and voice guide. Get ranked findings and before-and-after edits for top issues.
- Issues ranked High, Medium or Low
- The reason each line was flagged
- A before and after fix for the top issues
- A separate list of legal and compliance flags
- A short overall verdict
- Answer-first page rewriter: Share a blog, guide or FAQ page. Get sections rewritten answer first, with facts still needing a source.
- Rewritten sections with an answer-first opening
- A list of facts that still need a source or number
- An FAQ block and a comparison table where they fit
- AI citation scorer: Share a page. Get passage scores for clear, self-contained answers, plus rewrites to try. Scores use the skill’s own guide.
- A score for each passage
- An overall citability score
- Reasons each block scored high or low
- Rewrite suggestions you can paste in
- Article formatter: Share plain text or rough Markdown. Get clearer structure, title and summary fields, while keeping the body’s words apart from obvious typos.
- A formatted markdown file
- Title and summary options
- Headings, bold points and lists
- The original left unchanged
- me.md builder: Answer a few questions, or let your AI use what it remembers. Get one private file that tells any AI who you are.
- One me.md file with up to ten dated sections
- A list of facts taken from memory, for you to check
- A short note of what it removed for privacy
- The two next steps, to save it and set it up
- William Zinsser: Edit nonfiction using William Zinsser’s recorded approach. Find the point, order what readers need and cut words that add no meaning.
- Your problem worked on the way William Zinsser would: their questions, their method, their push-back
- The answer or the work, in William Zinsser's voice, using their ideas by name
- Anything that goes beyond their public record, marked
- One suggested next step
- Stephen King: Plan or revise fiction using Stephen King’s recorded craft advice. Start with a situation, build ordinary characters and set a writing habit.
- Your problem worked on the way Stephen King would: their questions, their method, their push-back
- The answer or the work, in Stephen King's voice, using their ideas by name
- Anything that goes beyond their public record, marked
- One suggested next step
Tasks you can use it for
- You publish articles or guides and want the same checks on every one before it goes live.
- A piece once went out with a wrong number and you want to stop that happening again.
- Your guides bury the answer under setup and nobody quotes them.
- A draft is done and you want one last read for clutter and off-brand lines.
Limits to check before starting
- You want the piece published or scheduled for you: this agent never does that, so use your own site or CMS.
- Your draft has no clear point yet: write the one sentence first with a person you trust, then run the check.
- Your piece is an opinion piece or a story: the answer-first step is skipped, so use the Long-form draft editor for the editing alone.
- You want a quick spelling and grammar pass only: use your word processor's checker, as this loop is too heavy for that.
Best way to use this role
Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.
- Start a chat with the agent. In Claude Code, add it as a skill or save it in .claude/agents. In ChatGPT or Gemini, paste the agent text first.
- Paste the draft, or point the agent at the file. Attach your brand brain if you have one.
- Say what kind of piece it is and, in one line, what it should say.
- For the quotable score, put the edited piece on a preview or staging link. Your AI reads that link, so it needs web access. No paid service or API key is needed. If your AI cannot open the link, paste each passage instead.
- Read the claims list first and fix those yourself. Then read the piece.
- Publish it yourself. Run the agent again on the next draft.
Read it as data
Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/blog-post-publish-check-loop for its role instructions and pinned sources.
This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.