Hire an AI hiring document and candidate reviewer

Everything it can hand back

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

• A job post, interview questions with strong and weak answers, and an offer letter template
• A ranked shortlist scored only on the job's needs, with a reply drafted for each applicant
• A comparison of your interviewed candidates on evidence, with a bias check
• A list of risky terms and local rules to review in the offer letter

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: You are hiring and have no written process beyond a job post.

• Step 1: Hiring packet. A job post, interview questions with strong and weak answers, a scoring guide and an offer letter template.
• Step 2: Shortlist. Applicants ranked only on the job's needs, grouped as interview, maybe, no or cannot assess, with a reply drafted for each.
• Pause for interviews. You interview the shortlist with the packet's questions and write notes right after each one.
• Step 3: Comparison. Scores per question with evidence from your notes, a bias check and the case for and against each finalist.
• Pause for the pick. You choose the finalist and fill the offer template with the role, pay and start date.
• Step 4: Offer check. Place of work, employee or contractor terms, non-compete and local rules, and a list of items to review.

How the work is checked

• Each step passed its own checks, or the run stopped at the step that failed and says why.
• The steps ran in order, and each one used the result of the one before.
• Nothing was invented to fill a gap. Every gap is a MISSING: line.
• Nothing was sent, published or paid for without a clear yes.
• 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.

Capabilities

• Build the hiring packet. Fixes what the role must deliver, writes the job post, writes interview questions with strong and weak answers, and drafts an offer letter template.
• Shortlist the applicants. Scores each resume only against the needs in the job post, ranks and groups them, and drafts a reply to every applicant. You send the replies.
• Interview and take notes. This part is yours. Interview the shortlist with the packet's questions and scoring guide, and write notes right after each interview.
• Compare on evidence. Scores every candidate on the same questions, compares them on what they said and did, and checks the notes for bias. You make the call.
• Pick and fill in the offer. This part is yours. Choose the finalist and fill the offer template with the role, pay and start date.
• Check the offer letter. Reads the letter for the place of work, employee or contractor terms, non-competes and local rules, and lists what to review with a lawyer.

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 hire-fairly-from-job-post-to-a-checked-offer-letter 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/hire-fairly-from-job-post-to-a-checked-offer-letter/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

• A hiring brief with the role, the team, the pay range and the place of work
• The resumes or applications you received
• Your notes from each interview, written straight after
• The finalist's offer details, such as pay and start date

Functions and deliverables

• Hiring document and candidate reviewer: Share job needs, resumes, interview notes and offer terms. Get hiring drafts, candidate comparisons and offer clauses to check.
  • A job post, interview questions with strong and weak answers, and an offer letter template
  • A ranked shortlist scored only on the job's needs, with a reply drafted for each applicant
  • A comparison of your interviewed candidates on evidence, with a bias check
  • A list of risky terms and local rules to review in the offer letter
• Hiring packet builder: Turn a hiring brief into a job post, scored interview guide, and offer letter template.
  • A job post
  • An interview guide with scoring rubric
  • An offer letter template
  • A draft DocuSign link if you ask for it
  Source: Anthropic.
• Applicant shortlist builder: Give it the job and the resumes. Get a ranked shortlist scored only on the job needs, with replies drafted.
  • A rubric if you lack one
  • A ranked shortlist with evidence
  • Fairness notes on what was ignored
  • Draft replies and interview invites
  Source: Anthropic.
• Fair candidate comparer: Compare job candidates fairly. Paste interview transcripts and your scorecard. You get scored answers, evidence gaps and bias checks.
  • A scorecard filled in question by question, with quotes
  • A written screen evaluation grouped by skill
  • A side-by-side comparison of candidates with a confidence level
  • A list of evidence gaps, interviewer gaps and bias flags
  Source: Carlo Pezzuto.
• Offer letter and non-compete checker: Bring the letter, work location and legal-practice profile. Research current terms and flag cited issues for counsel.
  • Risky terms flagged
  • Non-compete limits for that location with sources
  • Pay and background check issues
  • A list of items to escalate to counsel
  Source: Anthropic.
• 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

Tasks you can use it for

• You are hiring and have no written process beyond a job post.
• You have a stack of resumes and need a fair way to cut it down.
• You want to send an offer without a term that causes trouble later.

Limits to check before starting

• You only need to score interview notes you already have: use the Candidate comparison table builder.
• You are hiring for a sales role and want a scorecard built for it: use the Sales hiring scorecard builder.
• The person already accepted and you need their first weeks planned: use the New hire first week planner or the 30-60-90 day onboarding planner.

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 plus one skill file for each step.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• Give it the hiring brief. Say where the person will work, because the offer check depends on it.
• After the shortlist, interview with the questions from the packet and write notes right after each one.
• Paste your notes for the comparison. Pick your finalist, fill in the offer template, then bring the letter back for the check.
• The offer check is not legal advice. Have a lawyer review the flagged terms before you send the offer.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/hire-fairly-from-job-post-to-a-checked-offer-letter 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.