Examples

Real-world examples of using Promptodex prompts.

Summarize an article

cat article.md | pod summarize

import { pod } from "promptodex";

const prompt = await pod("summarize", { content: articleText });

Translate content

pod translate --language spanish --content "Hello, how are you?"

const prompt = await pod("translate", {
  language: "french",
  content: "Good morning!",
});

Code review

git diff HEAD~1 | pod code-review

Generate a tweet thread

cat blog-post.md | pod summarize | pod tweet-thread

Brand voice rewriting

echo "We sell software." | pod rewrite --tone "friendly and casual"

AI commit messages

git diff --staged | pod commit-message

Content localization pipeline

cat article.md | pod translate --language japanese
cat article.md | pod translate --language german
cat article.md | pod translate --language portuguese

Use in an Express API

import express from "express";
import { pod } from "promptodex";
import OpenAI from "openai";

const app = express();
const openai = new OpenAI();

app.use(express.json());

app.post("/summarize", async (req, res) => {
  const prompt = await pod("summarize", {
    content: req.body.content,
  });

  const completion = await openai.chat.completions.create({
    model: "gpt-4.1",
    messages: [{ role: "user", content: prompt }],
  });

  res.json({ summary: completion.choices[0].message.content });
});

app.listen(3000);

Use in a background job

import { pod } from "promptodex";
import Anthropic from "@anthropic-ai/sdk";

const anthropic = new Anthropic();

async function processArticle(article) {
  const prompt = await pod("summarize@2", {
    content: article.body,
    format: "bullet points",
  });

  const message = await anthropic.messages.create({
    model: "claude-sonnet-4-20250514",
    max_tokens: 1024,
    messages: [{ role: "user", content: prompt }],
  });

  return message.content[0].text;
}