AI Tools

{
  "topic": "How to build a real-time chat app with Next.js and WebSockets",
  "tone": "technical",
  "count": 5
}

{
  "titles": [
    "Building Real-Time Chat with Next.js 15 and WebSockets",
    "WebSockets in Next.js: A Complete Guide to Real-Time Apps",
    "How to Add Live Chat to Any Next.js App in Under an Hour",
    "Next.js + WebSockets: From Zero to Production",
    "Real-Time Communication in Next.js — The Practical Guide"
  ]
}

{
  "topic": "Impact of large language models on software development productivity",
  "depth": "detailed"
}

data: {"chunk": "Large language models (LLMs) have significantly..."}

data: {"chunk": " transformed how developers write and review code..."}

data: [DONE]

const es = new EventSource(
  "https://api.misar.io/blog/v1/ai/research",
  // EventSource doesn't support POST — use fetch with ReadableStream instead:
);

// Use fetch for POST + SSE:
const res = await fetch("https://api.misar.io/blog/v1/ai/research", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ topic: "LLMs in software development", depth: "detailed" }),
});

const reader = res.body!.getReader();
const decoder = new TextDecoder();
while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  const lines = decoder.decode(value).split("\n");
  for (const line of lines) {
    if (line.startsWith("data: ") && line !== "data: [DONE]") {
      const { chunk } = JSON.parse(line.slice(6));
      process.stdout.write(chunk);
    }
  }
}