You should vibe code a PM portoflio.

Only 17% of PMs have a portfolio.

So you should differentiate with one.

Here's how: 1. Headline

This is the most important part! You want to describe your unicorn candidate-market fit. This is your opportunity to make a bumpy career look like a straight line to a sector of the market.

ChatGPT is just the tip of the iceberg.

PMs should use 10 buckets of AI tools: DISCOVERY

1. Prototyping
Yes, this is an amazing PM use case.

Tools like Lovable, Bolt, v0, Magic Patterns, and Base44 are great for improving your discovery work.

🔗 Guide: news.aakashg.com/p/ai-prototypi…

Product discovery is the no. 1 skill for PMs.

Here's how to use AI to 10x your discovery: 𝗦𝗧𝗘𝗣 𝟭: 𝗔𝗜 𝗠𝗮𝗿𝗸𝗲𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲

Market analysis used to be a lengthy, research-heavy process that often required access to paid reports.

Now, replace that with:

a. Market sizing by Perplexity
b. Validation with 3 expert calls
c. Synthesizing sources with NotebookLM

This guy literally builds n8n AI Agents with 1 prompt I'll share the prompt in a second but here's why it works:

1. Context Dumping Done Right

Most people give AI a vague idea and wonder why they get vague results. This prompt dumps everything: use case, data sources, outputs, integrations. The AI gets your entire ecosystem, not just fragments.

BYE NETFLIX. BYE HULU.

No more $24.99 a month.
ChatGPT turned my laptop into a free streaming hub.

Here are 9 prompts to try yourself: 1/9 - Platform Discovery Engine

"Find and evaluate 15 legal free streaming platforms available in [YOUR COUNTRY]. For each platform, provide: content library size, video quality (720p/1080p/4K), ad frequency, device compatibility, signup requirements, standout features, and direct links. Rank them by overall value and highlight the top 3 for different use cases (movies, TV shows, documentaries)."

Anthropic literally dropped an entirely free roadmap to AI mastery 1. 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔𝗜 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 & 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀

Speak confidently about AI in meetings and strategy discussions.

anthropic.skilljar.com/ai-fluency-fra…

MY COUSIN WAS UNEMPLOYED FOR 7 MONTHS

I rebuilt his resume and interview answers using ChatGPT.
28 days later, he got hired.

Here are 8 prompts that fixed everything: 1. Resume Optimizer

“Here’s my resume: [paste text]. Rewrite it for [job title]. Highlight measurable results, relevant skills, and tailor formatting for recruiters + ATS.”

THIS IS WHY AIRLINES HATE CHATGPT

Flight for $879. I paid $299.
No points. No memberships. No VPN.

Here are 8 prompts I used to travel like a pro: 1. Cheapest Dates Scanner

“Find the lowest-cost departure and return dates within a [X-day] window around [target date]. Highlight 2–3 best combos.”

16 awesome resources that will get you hired as a Product Manager 👇 Whether you're interviewing at Big Tech or a startup, this list covers what you actually need to stand out - from writing a resume to tackling product strategy questions and behavioral interviews.

1. PM interview preparation tips from Amazon:
🔗 amazon.jobs/content/en/how…

This guy literally shared a step-by-step roadmap to build your first AI agent - and it’s gold. No hype. No jargon. Just a practical, battle-tested path to get from 0 → 1.

👇 Here’s the exact recipe I follow:

CPO at Microsoft says Prompt Sets are the new PRDs.

Here's what you need to know: Microsoft has a $3.68T market cap. So when their CPO @aparnacd is talking about PRDs, a lot of folks listen. In fact, many of you asked me about it.

So, let's talk about it:

1. What Prompt Sets Are
2. How They Fit In
3. My Thoughts
4. Next Steps

Even Apple is hiring for AI PMs.

Don't let anyone tell you it's a made up role.

Here's a free roadmap to become one: 1. Learn the foundations of AI:

news.aakashg.com/p/ai-foundatio…

AI killed the 10 page PRD. But the PRD isn't dead.

Here's how to write PRDs in the AI age: Companies like Google are shifting to a build-first culture. And it's good. AI prototyping tools have completely changed the game, blurring role lines.

Netflix is paying $900K for AI PMs. Meta is paying $1M+.

Here's how to become one: 𝟭. 𝗦𝗵𝗮𝗽𝗲 𝗬𝗼𝘂𝗿 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗗𝗶𝗲𝘁

Follow the right voices:

YouTube: Jeff Su, Matt Wolfe, Dwarkesh Patel
Newsletters: Product Growth, Nate Jones, DeepLearning
Twitter: Santiago (svpino), Min (minchoi), Paul (itsPaulAI)
LinkedIn: Zain Kahn, Allie K. Miller, Ruben Hassid

If I had to learn AI PM again, I would start here:

($2,000 course totally free) 1️⃣ AI PM Foundations

@marilynika: How to become an AI PM - youtube.com/watch?v=GQd54g…

Sam Kawsarani: 15+ Years PM in Era of AI - tinyurl.com/2txs9mab

@_amankhan: Prototyping → Observability → Evals - youtube.com/watch?v=Ej4pBD…

You want to code with AI.

But you don't know what tool to use.

Here's your guide on when to use which AI coding tools:

(+ free resources to learn each) 1: Cursor

They surpassed $500M ARR for a reason. Your developer probably uses it. It's great for pros - but it's also great for non-technical folks now, as its agent can build things just via natural language.

Free guide:

There's a new PM interview in town.

But most PMs don't know it yet.

Last week, a PM messaged me in panic:

"I just got destroyed in a Google interview. They wanted me to prototype something with AI tools. I'd never even heard of 'vibe coding' before."

Here's what happening: This isn't isolated. I'm coaching more PMs who are blindsided by this new interview format every week.

Here's what's happening behind the scenes:

The nature of the PM role is undergoing its biggest shift in years.

We're now moving to the era of AI PMs.

>50% of PM interviews now ask metrics questions.

But not all metrics questions are the same.

5 categories + 16 sub-categories to know: 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗠𝗲𝘁𝗿𝗶𝗰𝘀 (𝟮𝟭% 𝗼𝗳 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀)

Three major flavors here:

Product launch success: Measuring launching GPT-5.

Feature success: Measuring a mobile payment feature.

Business model success: What would you look at if we launched a marketplace?

Context engineering is the new prompt engineering.

Here's everything you need to know: 1. Etymology

It's unclear who coined the term, but two folks have been particularly important in its rise:

Andrej Karpathy and Dex Horthy.

Which is it: use LLMs to improve the prompt, or is that over-engineering?

By now, we've all seen a 1000 conflicting prompt guides.

So, I wanted to understand:

• What do actual studies say?
• What do experts at OpenAI, Anthropic, & Google say?

Here are the answers: I spent the past month in Google Scholar, figuring it out.

I firmed up the learnings with Miqdad Jaffer at OpenAI.

Some of my favorite takeaways from the research:

If you're preparing for PM interviews in 2025, there's one question type you cannot afford to mess up: Metrics.

Here's the history of how it over took product hiring and why it's the silent killer of PM dreams: PMs have been getting hit with questions like these...

And while they’re not as sexy as product sense or design...

They’ve quietly become non-negotiable in most interviews.