— Quick Read

Build a Job Interview AI Agent

I’m working on the Prompt & Poise project where Samantha Smitte is using an AI agent team to help her compete in a pageant. This agent is inspired by the pageant interview prep agent she affectionately named Vera.

This guide shows how to create an AI interview coach based on a job description. You give it a clear picture of the role, and it asks realistic practice questions, and then shows you what a strong answer looks like, so you can prepare with confidence.

Want the full recipe? Here is the reusable guide an AI builder can follow.

You can also try the finished agent for yourself here.

What You Are Building

You are building an AI interview coach for a specific role. You provide a short briefing about what the job actually involves, and then the agent asks the kinds of questions a real hiring manager would ask.

It can also learn about you. If you tell it which questions you have already practiced, where you are strong, and where you want to improve, it can skip the repeats and focus on the areas that will move the needle most.

Once built, the agent has the following components:

  • The core engine that is powered by OpenAI that compiles a question based on the source docs
  • It is then deployed and hosted on Railway so that it can stay live (versus living on your laptop)
  • It is published on the Blocks.ai network so that it can connect to other agents or a frontend

What the Guide Gives You

The linked guide is a complete, repeatable recipe. It hands an AI builder everything it needs to stand up your interview coach: how to load the role briefing, connect the AI, publish the coach so others can use it, and check that it works with a real practice question.

It also flags the easy-to-miss details, like making sure you’re set up under the right account and that updates actually go live after you make a change.

Starter Prompt

Want to build your own version for a different role? Paste this into an AI builder and fill in the blanks:

Use this guide to build an AI interview coach:

https://raw.githubusercontent.com/CagedEther/agentic-business-schooled/refs/heads/main/product-marketing-interview-blocks-agent-skill.md

Goal:
Build an AI interview coach that generates realistic practice questions and model answers for [ROLE OR EXAM].

Inputs:
- A briefing about the role: [PATH OR DESCRIPTION]
- An optional personal profile: [PATH OR DESCRIPTION]
- How many questions to generate: [DEFAULT AND MAX]

Please read the guide, set up the coach, publish it, and run one test question to confirm it works.

What a Good Result Looks Like

A good result is a working coach, not just a prompt. It stays online, and each practice session gives you three things: a set of questions on their own, the same questions paired with model answers, and a clean copy you can save or share.

Most importantly, the questions should sound like a real hiring manager wrote them. You should find that they test the core elements of the job and your competencies.

What to Try Next

You can try making changes to the core interview engine so that it can ask different types of questions, or even go broader outside of interview settings.