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.

Jira Product Discovery (JPD) just launched their biggest update yet.

It will take them from 18K → 36K customers.

Here’s why I think so: 1. From Teams → Teams of Teams

I covered Jira Product Discovery (JPD) earlier this year.

They were really good for a product team.

Now, with this month’s launch of Premium, they are really good for multiple product teams.

This is a huge unlock…

AI prototyping has changed what it means to be a PM, designer, and engineer in forward-thinking organizations.

Here's how: The Old Way

Here’s what most product development lifecycles look like:

1. Ideation

Most teams barely prototype at the idea stage.

A rare few exceptional designers and PMs do (~5%)

OpenAI released that there will be 5 levels of AGI.

If you want to build the future of AI, you should deeply understand it.

We are just crossing step 2 of 5 to AGI.

Yet, somehow, teams are still building like we are in levels 1 or 3.

Let me explain: LEVEL 1: CONVERSATIONAL AI

Remember those awkward chatbots from 2019?

They sounded human...until they didn’t.

You’d ask for help…
They’d return gibberish.
That’s Level 1.

Might be useful but it can't be your strategic moat.