Hire an AI job interview work-example coach

Everything it can hand back

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

• A role evidence map: each skill the role needs, matched to one of your real examples or marked as a gap
• A short example answer for each matched skill, in first person
• Practice questions with signs of a strong answer
• A list of gaps and facts to check before you speak
• A summary 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

• Inventing facts, figures, dates, quotes or completed actions.
• Passing on an earlier step's output without checking what it says.
• Hiding a failed check to finish the run.
• 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 have an interview next week and the job post lists ten skills.

• step-01-role-skills-framework-builder.md. The skills the role is likely to test, each with what it looks like at work.
• step-02-resume-job-application-builder.md. The role evidence map: each skill matched to your real example or marked as a gap, plus short answers.
• step-03-interview-question-set-maker.md. Practice questions with signs of a strong answer, labelled as samples.
• Hand-back summary. Files saved, missing facts, checks not run and one next step.

How the work is checked

• Examples describe the user's actual contribution and outcomes. Practice questions are not claims about the employer.
• No example, figure or result appears that the user did not supply.
• Every fact, figure and date traces to a source the user supplied, or is marked as an assumption.
• Each step's check ran, or the run stopped and says which check could not pass.
• 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

• Role skills framework builder. Turns the job post into the skills the interview may test. Hands step 2 a list of skills, each with what it looks like at work.
• Resume and job application builder. Matches each skill to a real example from your notes, writes a short answer, and lists gaps. Hands step 3 the matched skills and the gaps.
• Interview question set maker. Writes practice questions and signs of a strong answer for each skill. Labels them samples, not predictions of the employer's interview.

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 prepare-work-examples-for-a-job-interview 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/prepare-work-examples-for-a-job-interview/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 job description, copied from the job post
• How the interview will run, such as panel, case study or phone screen (from the invite)
• Notes on your own work: projects, results, feedback you can describe
• Your deadline, and anything you cannot share, such as client names (optional)
• Your current resume (optional)

Helpful context (optional)

• Feedback from managers or clients about your work
• Numbers from your own records, such as sales or time saved
• The names and roles of your interviewers
• A past interview question list from the same employer

Tools and access

• Any good chat AI that reads files, such as Claude, ChatGPT or Gemini: It needs to read the job post and your notes together.
• Any good chat AI: This is a writing and structuring job that any strong chat AI does well.
• Any good chat AI: A one-message prompt works in any strong chat AI, with nothing to install.

Functions and deliverables

• Job interview work-example coach: Share the role description, interview format and your real work examples. Get a skills map, concise answer notes and practice questions.
  • A role evidence map: each skill the role needs, matched to one of your real examples or marked as a gap
  • A short example answer for each matched skill, in first person
  • Practice questions with signs of a strong answer
  • A list of gaps and facts to check before you speak
  • A summary and one next step
• Job skills and level planner: Build a skills framework for your roles: key skills, what good looks like at each level, and interview questions with scoring guides.
  • Skills every role shares, and skills for each role
  • One example behaviour per skill at four levels
  • A profile per role with the 5 to 7 key skills and level needed
  • Interview questions with scoring guides
  • Review wording and learning ideas for each skill
  Source: Tuan Duc Tran.
• Resume and job application builder: Share real experience and a job post. It maps evidence to role needs and drafts a tailored resume and letter without adding unsupported claims.
  • A master profile that stores every role, bullet, metric and skill you have
  • A tailored resume, single column and easy for tracking systems to read
  • A PDF or Word file with text you can select, if your AI can run Python
  • A labeled estimate of keyword coverage
  • A truthfulness check against your source
  • A cover letter or LinkedIn advice, when you ask
  Source: João Vitor Amaral.
• Interview question set maker: Paste the role and what it needs. Get set questions, answer signs and a scorecard.
  • Questions for each skill, with follow-ups
  • Strong and weak answer signs
  • A scorecard with ratings from 1 to 5
• 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 have an interview next week and the job post lists ten skills.
• Someone says 'tell me about a time when...' and you freeze.
• You are moving into a new field and need to show how past work fits.
• You have a pile of old project notes and do not know which ones matter.

Limits to check before starting

• You need a resume and answers to application questions. Use Resume and application evidence writer.
• You are the one hiring and want questions to ask candidates. Use the Interview question set maker, or Hiring interview and candidate comparison planner.
• You have no record of your own work yet. Write down three projects first, then run this.

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 workflow pack and add it to Claude, ChatGPT or Gemini. Pick one that can read files.
• Paste the job description and the interview format. Then paste your work notes and say how long you have to prepare.
• Say: follow the workflow file, save each step, and stop if a check fails.
• Read the evidence map first. Fix anything that is not true to what you did, and add dates or results the AI marked missing.
• Say each answer out loud. Cut any line you could not back up if asked.
• Use the practice questions with a friend, then work on the gaps.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/prepare-work-examples-for-a-job-interview 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.