Why LinkedIn's Job Recommendations Were Broken — And How an LLM Fixed Them

LinkedIn fine-tuned a 7B-parameter LLM to power job recommendations for 1.2 billion members. Inside the system that delivered their biggest single-model improvement ever.

What Is AI And LLM Observability?

How do you know if your AI product is quietly giving users wrong answers? Learn how LLM observability works — traces, spans, LLM-as-judge, and why a 200 OK status code tells you nothing about quality. (Remember to click on"show pictures")

What Are AI Guardrails And How Should PMs Think About Them?

Real AI chatbots failed at Chevrolet, DPD & Air Canada. Here’s how guardrails prevent hallucinations, PII leaks, prompt injection & costly AI mistakes.

Did You Know LLMs Actually "Think"?

LLMs also think and reason. They generate intermediate steps, check its own logic, and build toward an answer piece by piece.

What's Happening To Temu?

In two years, Temu became the most downloaded app in America, made its founder the richest person in China, and helped kill Forever 21. Then a single policy change broke the whole thing.

What Happened to Peloton? From $50 Billion to $1.8 Billion

Peloton went from a $307K Kickstarter to $50 billion. Then lost 97% of its value. A product case study on the decisions behind tech's biggest collapse

What Are Embeddings And How They Work?

Search, recommendations, chatbots that answer questions all start the same way: converting something into an embedding. As PMs it is essential to understand how embeddings work and how to use them.

Stop Using the Biggest AI Model For Your Product

Most AI teams default to frontier models and overpay 5x. Learn how model routing, fine-tuning, and right-sizing cut costs by 60-70% without hurting quality.

How Anthropic Lost $200 Million And Hit #1 On The App Store

Anthropic walked away from a $200M Pentagon contract, got banned from government use, and watched Claude hit #1 on the App Store. All in the same week. Here's what happened.

Will Perplexity Kill Google Search?

Perplexity AI is challenging Google Search with direct answers, fast shipping, telecom deals, a $34.5B Chrome bid, and its own AI browser, Comet.

What Are AI Guardrails And How Should PMs Think About Them?

Real AI chatbots failed at Chevrolet, DPD & Air Canada. Here’s how guardrails prevent hallucinations, PII leaks, prompt injection & costly AI mistakes.

What Are Embeddings And How They Work

Search, recommendations, chatbots that answer questions all start the same way: converting something into an embedding. As PMs it is essential to understand how embeddings work and how to use them efficiently

How DoorDash Used LLMs to Rebuild Its Homepage

Here's how DoorDash replaced 300 fixed carousels with LLM-generated ones, used embeddings, AI moderation, ranking, and A/B tests to boost relevance and clicks.

"Product Strategy" Has Changed And PMs Are Caught Off Guard

What Are Evals And Why Are They Important— A Guide For Product Managers

Find out why evaluations are the hottest trend in AI companies and how mastering evals can boost your product management career in artificial intelligence.

What Are AI Agents - An Essential Guide For Product Managers

A simple guide for PMs on AI agents, workflows, decision trees, evaluation, safety, and when to use agents instead of rule-based automation.

What Most People Get Wrong About Prompting?

Prompt engineering isn’t about clever wording. It’s about process. Learn how iteration, structure, and clarity unlock better AI outputs.

What Is The Point Of MCP (Model Context Protocol)?

Everyone thinks MCP is just another API. They are wrong. Here is why the Model Context Protocol is actually the “USB-C” moment for AI, and why ignoring it will kill your product’s velocity.