Copy-paste snippets for the common stuff.

curl -N -X POST https://aliansoftware.net/api/solve \
  -H "content-type: application/json" \
  -d '{"problem":"We get 800 leads a month and cant follow up fast enough"}'

async function streamSolve(problem: string) {
  const res = await fetch("/api/solve", {
    method: "POST",
    headers: { "content-type": "application/json" },
    body: JSON.stringify({ problem }),
  });

  const reader = res.body!.getReader();
  const decoder = new TextDecoder();
  let buffer = "";

  while (true) {
    const { value, done } = await reader.read();
    if (done) break;
    buffer += decoder.decode(value, { stream: true });

    let sep: number;
    while ((sep = buffer.indexOf("\n\n")) !== -1) {
      const raw = buffer.slice(0, sep);
      buffer = buffer.slice(sep + 2);
      let event = "message";
      const dataLines: string[] = [];
      for (const line of raw.split("\n")) {
        if (line.startsWith("event:")) event = line.slice(6).trim();
        else if (line.startsWith("data:")) dataLines.push(line.slice(5).trim());
      }
      if (event === "delta") {
        const { text } = JSON.parse(dataLines.join("\n"));
        process.stdout.write(text);
      } else if (event === "done") {
        const final = JSON.parse(dataLines.join("\n"));
        console.log("\n\nDone:", final);
        return final;
      }
    }
  }
}

await streamSolve("Our support team is buried in tickets");

import Anthropic from "@anthropic-ai/sdk";

export const runtime = "nodejs";
export const dynamic = "force-dynamic";

export async function POST(req: Request) {
  const { problem } = await req.json();
  const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY! });
  const encoder = new TextEncoder();

  const stream = new ReadableStream<Uint8Array>({
    async start(controller) {
      const send = (event: string, data: unknown) =>
        controller.enqueue(encoder.encode(`event: ${event}\ndata: ${JSON.stringify(data)}\n\n`));

      try {
        const response = await client.messages.stream({
          model: "claude-sonnet-4-6",
          max_tokens: 400,
          system: "You are a solution architect...",
          messages: [{ role: "user", content: problem }],
        });

        let full = "";
        for await (const event of response) {
          if (event.type === "content_block_delta" && event.delta.type === "text_delta") {
            full += event.delta.text;
            send("delta", { text: event.delta.text, total: full });
          }
        }
        send("done", JSON.parse(full));
      } catch (err) {
        send("error", { message: "Briefly unavailable" });
      } finally {
        controller.close();
      }
    },
  });

  return new Response(stream, {
    headers: {
      "content-type": "text/event-stream; charset=utf-8",
      "cache-control": "no-cache, no-transform",
    },
  });
}

from anthropic import Anthropic

def generate_with_citations(question, retrieved_chunks):
    numbered = "\n\n".join(
        f"[{i + 1}] {chunk.title}\n{chunk.text}"
        for i, chunk in enumerate(retrieved_chunks)
    )

    system = (
        "You are answering a user question using ONLY the retrieved context. "
        "Every factual claim must cite a numbered source like [1] or [2]. "
        "If the context doesn't contain enough information, refuse politely."
    )

    user = f"""# Retrieved context

{numbered}

# Question
{question}

# Answer (cite sources inline, end with a Sources block)"""

    client = Anthropic()
    response = client.messages.create(
        model="claude-sonnet-4-6",
        max_tokens=1000,
        system=system,
        messages=[{"role": "user", "content": user}],
    )
    return response.content[0].text

function getOgUrl(title: string, subtitle?: string) {
  const params = new URLSearchParams({ title });
  if (subtitle) params.set("subtitle", subtitle);
  return `https://aliansoftware.net/api/og?${params.toString()}`;
}

// Use in OG meta tags
export const metadata = {
  openGraph: {
    images: [
      {
        url: getOgUrl("AI agents for finance", "Audit-traceable. Compliance-grade."),
        width: 1200,
        height: 630,
      },
    ],
  },
};

async function checkHealth() {
  const res = await fetch("https://aliansoftware.net/api/status", {
    cache: "no-store",
  });
  if (!res.ok) return { overall: "down", checks: [] };
  return res.json();
}

// Use in your monitoring loop
setInterval(async () => {
  const status = await checkHealth();
  if (status.overall !== "operational") {
    notifyOnCall(status);
  }
}, 60_000);

await fetch("https://aliansoftware.net/api/contact", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    name: "Jane Doe",
    email: "jane@company.com",
    company: "Acme",
    intent: "discovery",
    problem: "We want to scope an AI assistant for support tier-1.",
  }),
});