After publishing 66 technical articles on DevOps and AI infrastructure, I realised I had a blind spot.
I knew how many people visited my articles. I had no idea how many people understood them.
Page views, bounce rates, time on page — none of these tell you whether your explanation of Kubernetes state management actually made sense to the reader.
So I built QuizOps.
What it does
You paste your article URL. GPT-4o reads it and generates 10 multiple-choice questions streamed in real time. You review, edit, and publish. Your readers get a quiz link.
You see who passed, who failed, and which specific questions tripped people up.
The technical bits
The generation uses OpenAI's streaming API with NDJSON output — each question is a complete JSON object on its own line. The frontend reads the ReadableStream line by line and renders questions as they arrive with a fade-in animation. It genuinely looks like the AI is thinking in real time.
// Each line from the stream is a question
const lines = buffer.split('\n');
for (const line of lines) {
if (!line.trim()) continue;
try {
const q = JSON.parse(line);
setQuestions(prev => [...prev, q]);
} catch {}
}
Stack:
Content moderation
Before generating questions, the API runs two classification checks:
Both use a lightweight GPT-4o-mini call before the main generation request.
Community quiz banks
Beyond publisher quizzes, there are community quiz banks (JSON files in the repo) covering: Prompt Engineering, LLM APIs, AI Agents, RAG & Vectors, Kubernetes, Terraform, GitHub Actions, Python for AI Engineers, Cloud Native, and AI Security.
Anyone can add a new bank by dropping a JSON file — no code changes needed.
Try it
quiz.autoshiftops.com — free, no credit card. Would love feedback from other technical writers on what's missing.