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Level Up Your Career Documents with AI as a Thought Partner

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Manage episode 490602825 series 3395422
Content provided by John White | Nick Korte. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by John White | Nick Korte or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This week in episode 333 John flies solo in a discussion of using AI to help generate high-quality career documentation.

Original Recording Date: 06-23-2025

Topics – Refresh LinkedIn, Rewrite Your Resume, Outline a Blog Post, with AI as a Career Co-Pilot

01:03 – Introduction

  • This episode provides tactical advice for technology professionals on how to level up their career documents, such as resumes and LinkedIn profiles, by using Generative AI as a “thought partner.”

  • The goal is to improve career resilience in times of economic uncertainty.

  • 2:03 The core philosophy presented is that when using AI, you must be the “thought leader,” and the AI should serve as your “thought partner.” This model, first encountered by the host in Geoff Woods’ book The AI Driven Leader, ensures you retain control over your career narrative and authentic voice.

2:35 – Act 1: The Philosophy

  • 3:00 The roles in this partnership are clearly defined. As the thought leader, your job is to set strategy, own the message, provide the raw material (your experiences), and make final decisions. The AI’s job, as the thought partner, is to help brainstorm, suggest angles, challenge assumptions, structure thoughts, and rephrase sentences.

  • 4:26 A key warning is that recruiters and hiring managers are becoming adept at spotting low-effort, inauthentic “AI slop.” An imperfect but authentic resume or performance review is considered far more valuable than a generic, AI-generated one. You can’t blame the AI for mistakes; you are ultimately responsible.

4:50 – Act 2: The Playbook

  • To get consistent, high-quality results from AI, John introduces a five-step method detailed in his blog post, Wielding the AI Chainsaw, a Starter Technique Toolkit. This process is designed to move from a simple request to a collaborative and structured session.

  • Step 1: Persona Prompting: Tell the AI who it should act as (e.g., a career coach, a skeptical engineer).

  • Step 2: Knowledge Generation: Have the AI pull foundational facts or frameworks relevant to your task before you begin.

  • Step 3: Task Specificity & Interactive Context Building: Give the AI a specific goal and instruct it to ask you clarifying questions to get the context it needs.

  • Step 4: Scaffolding: Provide the AI with a precise structure for its output.

  • Step 5: Reflection: Ask the AI to critique its own work based on your goals.

7:07 Workflow 1: LinkedIn Profile

  • The discussion details how to apply the five-step process to improve your LinkedIn “About” section.

  • Starting with your own messy first draft, you guide the AI by assigning it the persona of a senior technical recruiter (Step 1),

  • asking it for the critical elements of a great profile (Step 2),

  • having it ask you questions about your draft (Step 3),

  • requesting specific outputs like opening hooks and keywords (Step 4),

  • and having it review its suggestions for tone and authenticity (Step 5).

11:44 Workflow 2: Resume or Self-Assessment

  • This workflow demonstrates using the five steps to refine accomplishment descriptions. *

  • The process involves assigning the AI a career coach persona (Step 1) and

  • using the STAR (Situation, Task, Action, Result) method as the foundational framework (Step 2).

  • You provide a project description and a relevant job description, then have the AI ask questions to align your project with the STAR method (Step 3).

  • The AI is then tasked with restructuring your description into powerful bullet points (Step 4) and finally,

  • reviewing those points for quantifiable impact and conciseness (Step 5).

  • This framing is valuable for both resumes and internal performance reviews, but it must be based on your actual experience, never fabrication.

15:02 Workflow 3: Blog Post Outline

  • The final example combines skill development with the practice of “learning in public.”

  • To brainstorm a blog post (e.g., “Why Network Engineers Need to Learn Python”), you assign the AI a dual persona of a content strategist and a skeptical senior engineer (Step 1).

  • The AI then generates potential objections a skeptic would have (Step 2),

  • helps you brainstorm persuasive arguments by asking questions (Step 3),

  • creates a structured outline for the post (Step 4), and

  • reviews that outline for its persuasiveness and suggests a compelling title (Step 5).

17:07 – Act 3: Homework

  • Listeners are given homework to practice the full methodology. The task is to take one bullet point from their resume, find a relevant job description, and walk through the five-step process with an AI to rewrite it using the STAR method. This exercise is designed to build a repeatable skill for wielding AI with intention.

19:34 Conclusion

  • The episode concludes by emphasizing that AI is a powerful tool, but its effectiveness depends entirely on the thought leader wielding it—you. The ultimate goal is not to become an AI expert, but to be a proficient user of the tool to cultivate a more resilient and well-documented career.

Contact the Hosts

  continue reading

346 episodes

Artwork
iconShare
 
Manage episode 490602825 series 3395422
Content provided by John White | Nick Korte. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by John White | Nick Korte or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This week in episode 333 John flies solo in a discussion of using AI to help generate high-quality career documentation.

Original Recording Date: 06-23-2025

Topics – Refresh LinkedIn, Rewrite Your Resume, Outline a Blog Post, with AI as a Career Co-Pilot

01:03 – Introduction

  • This episode provides tactical advice for technology professionals on how to level up their career documents, such as resumes and LinkedIn profiles, by using Generative AI as a “thought partner.”

  • The goal is to improve career resilience in times of economic uncertainty.

  • 2:03 The core philosophy presented is that when using AI, you must be the “thought leader,” and the AI should serve as your “thought partner.” This model, first encountered by the host in Geoff Woods’ book The AI Driven Leader, ensures you retain control over your career narrative and authentic voice.

2:35 – Act 1: The Philosophy

  • 3:00 The roles in this partnership are clearly defined. As the thought leader, your job is to set strategy, own the message, provide the raw material (your experiences), and make final decisions. The AI’s job, as the thought partner, is to help brainstorm, suggest angles, challenge assumptions, structure thoughts, and rephrase sentences.

  • 4:26 A key warning is that recruiters and hiring managers are becoming adept at spotting low-effort, inauthentic “AI slop.” An imperfect but authentic resume or performance review is considered far more valuable than a generic, AI-generated one. You can’t blame the AI for mistakes; you are ultimately responsible.

4:50 – Act 2: The Playbook

  • To get consistent, high-quality results from AI, John introduces a five-step method detailed in his blog post, Wielding the AI Chainsaw, a Starter Technique Toolkit. This process is designed to move from a simple request to a collaborative and structured session.

  • Step 1: Persona Prompting: Tell the AI who it should act as (e.g., a career coach, a skeptical engineer).

  • Step 2: Knowledge Generation: Have the AI pull foundational facts or frameworks relevant to your task before you begin.

  • Step 3: Task Specificity & Interactive Context Building: Give the AI a specific goal and instruct it to ask you clarifying questions to get the context it needs.

  • Step 4: Scaffolding: Provide the AI with a precise structure for its output.

  • Step 5: Reflection: Ask the AI to critique its own work based on your goals.

7:07 Workflow 1: LinkedIn Profile

  • The discussion details how to apply the five-step process to improve your LinkedIn “About” section.

  • Starting with your own messy first draft, you guide the AI by assigning it the persona of a senior technical recruiter (Step 1),

  • asking it for the critical elements of a great profile (Step 2),

  • having it ask you questions about your draft (Step 3),

  • requesting specific outputs like opening hooks and keywords (Step 4),

  • and having it review its suggestions for tone and authenticity (Step 5).

11:44 Workflow 2: Resume or Self-Assessment

  • This workflow demonstrates using the five steps to refine accomplishment descriptions. *

  • The process involves assigning the AI a career coach persona (Step 1) and

  • using the STAR (Situation, Task, Action, Result) method as the foundational framework (Step 2).

  • You provide a project description and a relevant job description, then have the AI ask questions to align your project with the STAR method (Step 3).

  • The AI is then tasked with restructuring your description into powerful bullet points (Step 4) and finally,

  • reviewing those points for quantifiable impact and conciseness (Step 5).

  • This framing is valuable for both resumes and internal performance reviews, but it must be based on your actual experience, never fabrication.

15:02 Workflow 3: Blog Post Outline

  • The final example combines skill development with the practice of “learning in public.”

  • To brainstorm a blog post (e.g., “Why Network Engineers Need to Learn Python”), you assign the AI a dual persona of a content strategist and a skeptical senior engineer (Step 1).

  • The AI then generates potential objections a skeptic would have (Step 2),

  • helps you brainstorm persuasive arguments by asking questions (Step 3),

  • creates a structured outline for the post (Step 4), and

  • reviews that outline for its persuasiveness and suggests a compelling title (Step 5).

17:07 – Act 3: Homework

  • Listeners are given homework to practice the full methodology. The task is to take one bullet point from their resume, find a relevant job description, and walk through the five-step process with an AI to rewrite it using the STAR method. This exercise is designed to build a repeatable skill for wielding AI with intention.

19:34 Conclusion

  • The episode concludes by emphasizing that AI is a powerful tool, but its effectiveness depends entirely on the thought leader wielding it—you. The ultimate goal is not to become an AI expert, but to be a proficient user of the tool to cultivate a more resilient and well-documented career.

Contact the Hosts

  continue reading

346 episodes

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