Hire an AI peer writing feedback and revision planner

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A session plan with roles, speaking order, timings and ground rules
• A note form that asks what does not work and where
• A model of honest feedback on one permitted draft
• A revision record with columns for the comment, the writer's decision and the reason
• Real comments sorted into fixes, split opinions and facts to check (only when you bring comments)
• A summary of what was not run and one next step

How it does the job well

• Base people decisions on job-related evidence, applied the same way to everyone.
• Write in plain, respectful language the person affected could read.
• Keep personal data to what the task needs, and handle it privately.
• Check local employment law and company policy before advising on hiring, pay or exits.

Mistakes it avoids

• Biased wording in job ads, reviews or interview questions.
• Plans with no owner, timing or way to check progress.
• Treating a template as legal advice.

What a good result looks like

An example, not your task: Your class or writing group is about to swap drafts and last time the comments were vague.

• Session plan. Who reviews whom, the order, minutes for each part and the ground rules.
• Note form. A blank form where reviewers write what does not work and where.
• Model feedback. Honest feedback on one permitted draft, showing what reviewers should aim for.
• Revision record. Rows for each comment with the writer's decision and the reason.
• Sorted comments. Real comments grouped into fixes, split opinions and facts to check. Left blank without comments.
• Hand-back summary. Files saved, steps not run, facts missing and one next step.

How the work is checked

• The model feedback uses only the permitted draft.
• Step 3 ran only on real comments, and no comment was invented.
• Every rule and timing in the plan fits the time given, or the overrun is stated.
• The record leaves decisions to the writers.
• 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 Ed Catmull and Stephen King would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Peer feedback session planner. Picks reviewers, sets the time for each part, writes the rules and builds the note form. It hands the criteria and the form to the model step.
• Honest draft feedback giver. Takes the one permitted draft you give it, not the plan, and uses the criteria from step 1. It writes feedback on that draft, naming what works, what to leave alone and which lines to question. It hands that example to the record.
• Reader feedback sorter. Runs only when real comments exist. It sorts them into fixes, split opinions and facts to check, then ranks a rewrite list. Before that, it is marked not run.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. 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 plan-a-peer-feedback-session-that-helps 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/plan-a-peer-feedback-session-that-helps/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 drafts to be reviewed, such as stories, scripts or other creative writing
• The task or criteria reviewers should use
• Who the reviewers are and the group size
• Your session time, and whether it runs in a room or online
• One draft whose author agrees to it being used as the model example
• Real comments, if the session has already happened (optional)
• How much feedback practice the group has had (optional)

Helpful context (optional)

• The real comments, typed up with a label for each reviewer.
• A note on who counts as the reader the writer is aiming at.

Tools and access

• Claude, ChatGPT or Gemini with file support: They can read drafts as pasted text or files. None of them can run the session for you.
• Any good chat AI: Turning a project and a list of people into a plan is text work any strong chat AI does well.
• A shared document: Reviewers write problem notes in one place the owner can read afterwards.
• Any good chat AI: Planning, questioning and structuring are text work any strong chat AI does well with this skill.
• Any good chat AI: Sorting and counting notes is text work any strong chat AI does well.
• A shared document: Comments in the draft are easier to tie to places than a loose email.

Functions and deliverables

• Peer writing feedback and revision planner: Share writing drafts, criteria, group size and session time. Get a peer-review guide, example feedback and a record for real revision choices.
  • A session plan with roles, speaking order, timings and ground rules
  • A note form that asks what does not work and where
  • A model of honest feedback on one permitted draft
  • A revision record with columns for the comment, the writer's decision and the reason
  • Real comments sorted into fixes, split opinions and facts to check (only when you bring comments)
  • A summary of what was not run and one next step
• Peer feedback session planner: Plan a peer feedback session for a stuck project. Get the reviewers, timings and note rules that help people say what is not working.
  • A list of reviewers chosen, with anyone left out and the reason for each
  • The session plan, with rules, timings and who speaks when
  • A form for notes that records problems, not fixes
  • A follow-up date and the question to ask then
• Long-form draft reviewer: Share a full draft, its purpose and what matters to you. Get specific notes on strong lines, weak spots and choices to reconsider.
  • A short note on what is working
  • Notes on specific weak lines, each as a question
  • Where the reader leans in and where they drift
  • A leave-alone list and a check of each action against the character
• Reader feedback sorter: Sort feedback from several readers into what to fix, what to leave alone and a ranked rewrite list for your next draft.
  • All the notes in one list by place in the draft
  • A count of how many readers raised each point
  • Agreed problems, washes and fact catches, kept apart
  • A ranked rewrite list and questions to ask readers who were vague
• 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
• Ed Catmull: Plan feedback or protect rough creative work using Ed Catmull’s recorded approach. Name the problem, keep the creator’s choice and find hidden issues.
  • Your problem worked on the way Ed Catmull would: their questions, their method, their push-back
  • The answer or the work, in Ed Catmull'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

• Your class or writing group is about to swap drafts and last time the comments were vague.
• You run a workshop and need a session that fits your time slot and group size.
• A writer has comments from several readers and wants them sorted into what to fix first.
• You want reviewers to practise feedback before it counts for anything.

Limits to check before starting

• You need grades or marks. Peer comments are not marking. Use the Marking rubric writer or the Student rubric feedback writer.
• No peers are available. Get feedback on one draft from the Long-form draft reviewer.
• You already have comments and only want them sorted. Use the Reader feedback sorter.
• You need to give one person hard feedback face to face. Use the Evidence-based feedback conversation planner workflow.

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.

• Download the handoff pack. It is a zip with HANDOFF.md and every skill file this workflow uses.
• Give the folder to Claude, ChatGPT or Gemini and say "Follow HANDOFF.md".
• Paste the drafts or their descriptions, the criteria, the group and the time. Say whether the session has happened yet.
• Ask the author of the example draft first. The model feedback uses that draft only.
• Print the note form and the plan. After the session, come back with the comments to sort them.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/plan-a-peer-feedback-session-that-helps 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.