Get unblocked in 55 minutes — live with an ex-FAANG AI engineer

Your RAG pipeline is misfiring. Your LLM is hallucinating in production. Your system design interview for the AI role is tomorrow. Stop debugging alone.

Book first session — $49 →See what's included

12 AI engineers unblocked this month · 94% satisfaction

55 min · $49 first session, then $99 · Full refund if you're not unblocked

Why AI engineers book Crackr

Three problems an ex-FAANG AI
engineer can fix in one session.

RAG

RAG pipelines that lie

You built the retriever, chunked the docs, tuned the embeddings. It still returns garbage. An ex-FAANG ML engineer spots the exact failure mode in 20 minutes.

LLM

LLMs that hallucinate on your data

Prompt engineering, fine-tuning, RLHF alignment — you've tried it all. The model still makes things up. Live debugging with someone who shipped LLM products at scale changes the game.

Interview

AI system design interviews

Designing a recommendation engine, a feature store, or an ML platform under time pressure is nothing like SWE system design. Get a real walkthrough from someone who built these at FAANG.

12AI engineers unblocked this month

94%satisfaction rate

28 minavg. time-to-unblock

What AI engineers say

Real sessions. Real unblocks.

RAG debugging

“I'd been fighting a chunking issue in my RAG pipeline for 3 days. In 55 minutes, my engineer diagnosed a token boundary problem I never would have found alone. Shipped to prod the next morning.”

PS

Priya S.

ML Engineer · Series B startup

ML system design

“Bombed my first ML system design loop. After one Crackr session on feature store architecture, I cleared the next two in the same week.”

DK

Daniel K.

AI Engineer · YC W24

Vector search

“Even senior engineers get stuck. My embedding search recall was terrible. The session identified a normalization issue in my vector store in under 30 minutes.”

WC

Wei C.

Senior MLE · FAANG

What you get

One session built for the exact moment AI debugging stops making sense.

55 minutes, one problem

Bring your exact blocker — whether it's a RAG bug, an LLM prompt failure, or an ML design question. We stay laser-focused until it's solved.

Ex-FAANG AI operator

Your engineer has shipped RAG systems, LLM products, and ML platforms at Google, Meta, or OpenAI — not just read papers about them.

Leave with a fix, not a theory

You get the root cause, the fix, and the pattern so you don't hit the same wall twice.