Andrew's resources, compiled

The Job Search Playbook

Referrals open the door. Artifacts win the room.

The system Andrew ran from first application to signed offer. Every step produces something concrete, and everything you produce feeds the final step: an AI podcast that interviews you about your own interview.

Keep these in your feed

Six resources worth following

You do not need forty newsletters. These are the ones Andrew actually uses, and each earns its place for a different reason.

YouTube · AI automation

Nate Herk

Hands-on builds of AI agents and automations. Watch him to see what "let the AI do the work" looks like in practice, then steal the patterns for your own capstone.

youtube.com/@nateherk
Newsletter · Research-backed

Ethan Mollick

Wharton professor writing One Useful Thing. The clearest thinking available on what AI actually changes about work, backed by studies instead of hype.

oneusefulthing.org
Start here: Management as an AI Superpower
YouTube · AI strategy

Nate Jones

Daily breakdowns of AI news with a career lens. Good for staying current enough to talk credibly about AI in any interview, which is now every interview.

youtube.com/@NateBJones
Tool · Interview prep engine

NotebookLM

Google's grounded research notebook. It only answers from sources you give it, which makes it the perfect rehearsal room. Step 8 lives here.

notebooklm.google.com
Library · Official use cases

Claude Use Case Library

Anthropic's library of what people actually build and do with Claude. Don't browse it by hand: give Claude the link and ask it to search the site for your use case, and it returns the pattern that fits your situation.

claude.com/resources/use-cases
Method · One page per company

Battlecards

A single page holding everything you know about one company and one role: the people, the product, the questions, your stories. Step 7 shows you Andrew's real one.

See the Salesforce battlecard
Read these before you start

Two ideas that change how you apply

AI prefers AI writing

Most resumes are now read by AI before a human ever sees them, and here is the uncomfortable part: AI screeners score AI-shaped writing higher. Clean structure, standard headings, exact keyword matches from the posting, quantified outcomes. Hand-crafted quirky formatting that used to show personality now just parses badly.

Andrew wrote up what job seekers should know about this, including how to use it without lying about anything.

Write for the machine first, the human second. Both will thank you. Read: AI Resumes, What Job Seekers Should Know

Cover letters are out. Summary intros are in.

Nobody opens the second attachment. Recruiters spend seconds on your application, and a separate letter restating your resume is a relic. What replaced it is the summary intro: two lines at the top of your resume, and the same two lines as the opener of any outreach message, that do the entire cover letter's job. Who you are, the one proof point that matters for this role, why this role.

Two lines is the discipline. If your summary runs longer, you have not decided what your proof point is yet.

Skip the letter. Spend that hour making two perfect lines, then reuse them everywhere. Read: RIP, cover letters (Business Insider)

The playbook, in order

Eight steps, run chronologically

The order matters. People before postings, research before applications, artifacts before interviews. Each step hands its output to the next one.

1
First, before anything else

Referrals are the way in, especially early

A referral moves your resume from a pile of hundreds to a stack of five. In the first weeks of a search, when you have the most energy and the least momentum, this is where that energy pays best. So before you polish a single pixel, write your tribe list: former colleagues, church, school cohorts, that group chat, LinkedIn first-degree connections. Everyone who already knows your work or your character.

The answer to "do I know anyone there?" is yes more often than people expect. Go look before you assume.

Artifact: your tribe list, names and where they work
2
Research with Claude. A lot.

Research every company on the tribe list

Now work the list. For each company where someone in your tribe works, have Claude do the deep read: what they build, how they make money, what they shipped lately, what they are struggling with. Research is cheap now. Do far more of it than feels normal, because everyone else is still skimming About pages.

The company research prompt
I'm job hunting. Research [Company] for me: what they do, how they
make money, recent news and launches, team culture, who leads the
team I'd likely join, and what they're struggling with that someone
in a [your role type] seat could help fix. Check their careers page
for open [role type] roles. Finish with two answers: is this company
worth my time, and what should I say to my contact who works there?
Artifact: a research brief per company
3
Narrow ruthlessly

Filter to companies with roles you actually want

Cross-reference the research against live openings. Keep only companies that have a real posted role you would genuinely take, and where the research came back warm. This is your shortlist, and it should be short. Five focused pursuits beat fifty sprayed applications, because every remaining step in this playbook is per-company work.

Artifact: shortlist with the exact JD for each role
4
One resume per role

Tailor your resume to the JD

Your master resume is the template, the job description is the spec. Mirror the JD's own vocabulary, put your strongest matching evidence first, keep it to one page, and make the top two lines the summary intro that replaced your cover letter. There is a Claude Code skill for this now, it reads the JD, maps your evidence against every requirement, runs the verb and one-line audits, and tells you where your evidence is thin.

Everything you need to run it yourself is below: the skill file, Andrew's actual resume rules, and the install steps. Set it up once and every tailoring after that is one sentence: "Tailor my resume to this job description."

Install the skill (one-time setup)
1. Make the folders:

   mkdir -p ~/.claude/skills/resume-jd-tailor

2. Save the skill text (next section) as:

   ~/.claude/skills/resume-jd-tailor/SKILL.md

3. Write your own house rules file at:

   ~/.claude/RESUME_RULES.md

   Start from Andrew's real rules (below) and swap his specifics,
   project names, links, job titles, for your own equivalents.

4. Open Claude Code, hand it your master resume and a JD, and say:
   "Tailor my resume to this job description."
The skill file, SKILL.md
---
name: resume-jd-tailor
description: Take an existing resume as the template and tailor it
  to match a specific job description. Use when the user says
  "tailor my resume", "format my resume to this JD", "match my
  resume to this job", or provides a resume plus a job posting.
  Preserves the template's structure and styling, rewrites content
  to mirror the JD's language and priorities.
---

# Resume JD Tailor

Tailor a resume to a job description using the existing resume as
the template. The template's layout, sections, and styling are the
contract, only the content moves.

## Inputs

1. Template resume, the user's master resume.
2. Job description, pasted text, a file, or a URL to fetch.
3. House rules: ALWAYS read ~/.claude/RESUME_RULES.md first and
   follow every rule in it. Those rules override this skill.

## Process

### 1. Parse the JD
- Extract the role title, team, and the top 6-8 requirements in
  the JD's own words.
- Note the exact vocabulary the JD uses. Mirror their terms,
  recruiters and AI screeners match on them.

### 2. Map evidence
- For each requirement, find the strongest matching bullet,
  project, or story in the template resume.
- Flag requirements with thin evidence, tell the user rather than
  inventing experience. Never fabricate or relocate
  accomplishments to a different employer.

### 3. Rewrite the summary as the cover letter
Cover letters are out, summary intros are in. The summary at the
top of the resume does the cover letter's job: who you are, the
one proof point that matters for THIS role, why this role.
Max 2 lines.

### 4. Tailor the body
- Reorder bullets so the strongest JD matches appear first.
- Rewrite bullets to lead with the JD's language, staying truthful.
- Keep it AI-screener friendly: standard section headings, plain
  formatting, exact keyword matches, quantified outcomes.

### 5. Audit before delivering
- Verb audit: no repeated starting verbs across the whole resume.
- Line audit: every bullet fits one line, resume fits one page.
- Link audit: all links real and working, never placeholder #.
- Re-check every rule in ~/.claude/RESUME_RULES.md.

## Output

- Same format as the template (Markdown in, Markdown out).
- Name it Resume_<Company>_<Role> next to the template.
- Close with a short gap report: which JD requirements are strong,
  which are thin, so the user knows what to prepare a
  forward-looking interview answer for.
Andrew's actual RESUME_RULES.md (swap his specifics for yours)
# Resume Generation Rules

When generating or tailoring a resume, ALWAYS follow these rules:

1.  Unique starting verbs - No verb repetition across the entire
    resume. Run a verb audit every time.
2.  No "philosophy" in Educator bullet - Never use the word
    "philosophy" in the Educator line under Thought Leadership.
3.  Commas instead of em dashes - Use commas, not em dashes, in
    bullet points.
4.  All bullets must fit on 1 line - No wrapping. If a bullet is
    too long, trim it.
5.  Resume must fit on 1 page - Use tight CSS spacing and concise
    language.
6.  DocOps full title - "DocOps Governance Workbench | Automated
    Copy Compliance Tool | Python, LangChain"
7.  Four core projects - SAGE, DocOps Governance Workbench,
    QuickRamp, YouTube Shorts Pipeline. Always include all four.
8.  No "AI Governance Framework" - Removed from all future
    generations (duplicate of DocOps).
9.  Darden PM Specialization - Include "Product Management
    Specialization (Darden)" where relevant.
10. Cisco listed as Splunk - The Cisco/Splunk manager role should
    say "Splunk", not "Cisco". End date is "Jan 2026".
11. Working links - LinkedIn, portfolio, and article links must be
    real URLs, never placeholder # hrefs.
12. SAGE subtitle - Always include "Hackathon Winner | Figma Make,
    Pinecone, Veo 3" in the SAGE project subtitle.
13. Summary max 2 lines - The resume summary section must not
    exceed 2 lines.

## Cover Letter Rules

1. No Workday mentions - Never reference Workday in cover letters.
   Focus on Splunk experience only.
2. Commas instead of em dashes - Use commas, not em dashes,
   throughout cover letter text.

Rules 2, 6-12 are Andrew-specific. Keep the pattern, replace the
content: pin YOUR core projects, YOUR exact titles, YOUR links,
and any correction you find yourself making twice.
Artifact: tailored one-page resume
5
Proof, not promises

Build a capstone for that role at that company

This is the step almost nobody does, which is exactly why it works. Have Claude re-read the JD for the skills the team actually cares about, then build a small project in about a week of evenings that proves those skills. You walk into the interview with a demo instead of adjectives. Andrew's Salesforce capstone ideas came straight out of this prompt.

The capstone prompt we made
Read this job description: [paste the JD]. Draft three capstone
project ideas I could build in about a week of evenings. Each idea
must map to skills the posting actually asks for. For each one give
me: the JD skills it proves, what it is in two sentences, and the
demo moment I would show in an interview. Then help me pick one and
turn it into a working plan with milestones.
Artifact: working capstone with a demo moment
6
Somewhere to point people

Create your portfolio page

One clean page: who you are, what you have done, the capstone front and center, how to reach you. It does not get you the job. It is the reason someone forwards your email. Build it with the portfolio prompt, iterate in plain English until it looks like you.

The portfolio prompt we made
Create a professional personal portfolio page as a single HTML file.
Use clean, modern styling. Include:

Header: [Full Name], [Professional Title/Tagline]
About: [2-3 sentence professional summary]
Experience Highlights: [3-5 key accomplishments with context]
Skills & Expertise: [core competencies organized by category]
What I Bring: [what makes you valuable, your unique combination of
experience, perspective, and capabilities]
Contact: [Email, LinkedIn, or however you want to be reached]

Design notes: professional color palette, readable fonts, good
spacing. No stock photos. Clean and confident. Save as portfolio.html.

Then iterate: "change the palette to navy and white", "add a section
for the capstone project with a screenshot", "make it less corporate,
more personal".

Hosting it: go to here.now and publish the HTML file, you get a live URL at a here.now address in seconds. If you want a different URL name than the random one you are given, add a domain website name in here.now's site settings, either a custom slug or your own domain.

Artifact: live portfolio URL, like Andrew's: andrewyu.app
7
One page per company

Compile your battlecard

Everything you know about this company and this role, compressed onto one page you can review the morning of the interview: the panel and their LinkedIn highlights, the product, likely questions mapped to your stories, your questions for them. Andrew's real Salesforce battlecard is below, use its structure as your reference.

Artifact: one-page battlecard
8
The night-before rehearsal room

Throw it all into NotebookLM

Everything the playbook produced now converges. Create a notebook and add every source below, then let NotebookLM turn your whole pursuit into study material about you.

Sources in
Tailored resume STAR stories Job description Interviewers' LinkedIn profiles Battlecard Company research
NotebookLM grounded in your sources only
Audio Overview Video Overview Quizzes Study guide Join the podcast live

Generate an Audio Overview and listen on a walk, a Video Overview for the visual version, and quizzes to drill the gaps. Then the best part: use Interactive mode to drop into the podcast as a guest. Two AI hosts discuss how your background maps to the role, and you interrupt, ask questions, and defend your answers out loud. It is the closest thing to a mock interview you can run at midnight.

The NotebookLM prompt we made (Andrew's real Salesforce one, adapt the bracketed parts)
You are my interview-prep coach for the [Company] [Role] position.
Use the sources I have added: the job description, my tailored
resume, and my STAR stories.

Build me a study guide that:
1. Lists the top eight requirements from the job description, in
   the team's own words.
2. For each requirement, names the strongest matching evidence from
   my resume and the STAR story that proves it. Keep each story tied
   to the company where it happened.
3. Flags any requirement where my evidence is thin, so I know where
   to prepare a forward-looking answer instead of a past-tense one.

Then draft likely interview questions:
- Five behavioral questions this panel would ask, each tagged with
  the STAR story I should answer it with.
- Three technical questions about the core skills in the posting.
- One curveball about handling disagreement, with the story to use.

For the Audio Overview: focus the conversation on how my background
maps to this specific role. Spend the most time where the match is
strongest, and close with the gaps I should address out loud in the
interview rather than hope nobody notices.
Artifact: a rehearsal room that knows your whole pursuit
The reference shelf

Andrew's real artifacts

Every file referenced above, in one place. These are the actual artifacts from the pursuit that ended in a signed offer, use them as templates for your own.

AI Resumes: What Job Seekers Should Know, why AI screeners prefer AI-shaped writing
open
Salesforce battlecard, the one-page interview reference
open
Capstone ideas, three week-sized projects generated from the Salesforce JD
open
NotebookLM prompt, the interview-prep coach prompt, ready to adapt
open
STAR stories, the story bank format that feeds steps 4 and 8
open
Master resume, the template that every tailored resume starts from
open
Build your own resume-tailoring system, the interview prompt that sets up your super resume, house rules, and tailoring loop
open
Demo video: building the NotebookLM prep
watch
A word before you go

Hang in there

Job search is hard. Some weeks it will feel like nothing is moving, and that is normal, not a verdict on you.

And for those of you who are not from tech but are part of our church: you are more prepared for this moment than you think. We listen to messages. We write reflections. We read books. In other words, we are trained to keep track of narratives more than most, by virtue of being English majors at heart and people who fight for our own attention. In the age of AI, where the work is managing agents and keeping track of what is going on across various threads, that is the ultimate superpower.

And as you prepare with AI, prepare with a goal: be the most prepared candidate in the room, in the best position to get the job compared to everyone else. With AI, you can be. Whether that is a resume tailored to the exact job, a capstone project that shows you can do the work before you start, or a portfolio you built as a non-coder to highlight your AI projects, every step in this playbook exists to put you in that position.

You are unemployed at the right time to learn AI, more so than those who are currently working and cannot keep up. This is the opportune time, the kairos, for you to take advantage of it, get a job quickly, and be deployed quickly to serve.

Andrew Yu
Read: LeCun studied LLMs. I studied C.S. Lewis. Both of us learned the limits of language.
Follow along: substack.com/@andrewyu3