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How AI-ready are you?
10 questions about what you have built. No sign-up.
What it asks
Have you built anything that calls an LLM API?
When a prompt gives you a bad answer, what do you do?
Have you built something where the model calls a function you wrote?
Could you write an agent loop from scratch, without a framework?
Have you built retrieval over your own documents?
How do you know whether your retrieval is any good?
When you change a prompt or a model, how do you know it improved?
Do you know what your AI feature costs per request?
If someone asked to see your AI work right now, what could you show them?
Could you explain, in two minutes, why you built something the way you did?
What it scores
Foundations
— You can get a model to do what you want and know roughly why it works.
Agentic AI
— You have built something that decides its own next step and calls tools to do it.
RAG & retrieval
— You have put a model over your own documents and dealt with what that breaks.
AI engineering
— Evaluation, cost and failure handling — the difference between a demo and a system.
Career readiness
— You can show the work and explain it to somebody deciding whether to hire you.
Business AI
— You can say what a piece of AI is worth before building it.