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Introduction

JigsawStack Prompt Engine is a powerfult API built from the ground up to execute any prompt or instruction seamlessly. It intelligently selects the best model from a cluster of state-of-the-art models, allowing you to focus on results without worrying about GPUs, tokens, or rate limits.

prompt engine

The Prompt Engine takes in three things: the prompt, dynamic variables, and the output structure you expect every single time you run the prompt. The last two are optional. The Prompt Engine automatically enhances the initial prompt to improve accuracy, reduce token usage, and prevent output structure breakage.

The Prompt Engine is great for a variety of task which include:

  • Intelligent AI agents or Chatbots.
  • Automations and workflows.
  • Data extraction and analysis.
  • Complex natural language processing

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The Prompt Engine can be utilized in two ways:

  1. Creating and running a reusable prompt (recommended)
  2. Executing a prompt directly

Let’s explore these approaches by evaluating job application entries to determine if candidates meet the necessary job requirements.

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Initial requirements

  • Setup a JigsawStack account (if you don’t have an account already)
  • Get your JigsawStack API key from here.
  • Install the Node.js SDK

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- Create the prompt

prompt.ts
import { JigsawStack } from "jigsawstack";

// initialize the JigsawStack SDK
const jigsawstack = JigsawStack({
  apiKey: "your-api-key",
});

// Create a reusable prompt
const params = {
  prompt:
    "Given this candidate's experience:{experience}, determine if she should be considered for the Senior Fullstack Mobile Engineer Role with React Native, Node.js, AWS, Next.js, Typescript",
  inputs: [
    {
      key: "experience",
      optional: false,
    },
  ],
  return_prompt: {
    experienceWithNodejs:
      "Return true, if candidate has 4 years and above experience with Node.js. Else return false",
    seniorInReactNative:
      "Return true if candidate has 6 years and above experience building apps with React Native",
    sectorExperience:
      "Return sector the candidate has the most experience in. Example of sector include: Fintech, Edtech, blockchain, Ecommerce, etc.",
  },
};
const result = await jigsawstack.prompt_engine.create(params);
const prompt_id = result.prompt_engine_id;

console.log(prompt_id);

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- Run the prompt

// Execute the prompt using the prompt id
const result = await jigsawstack.prompt_engine.run({
  id: prompt_id,
  input_values: {
    experience:
      "As a seasoned React Native Developer with 4 years of experience, I have a proven track record in building high-quality mobile applications. Over the past 2 years, I have also gained substantial expertise in Node.js, enhancing my ability to develop robust backend services. My proficiency in TypeScript, acquired over the last year, further strengthens my development skills. In my most recent role in the Fintech sector, I successfully contributed to creating secure and efficient financial applications, demonstrating my ability to thrive in dynamic and challenging environments. My comprehensive skill set ensures seamless integration and functionality across diverse platforms.",
  },
});

// Here is the sample result
{
  "success": true,
  "result": {
    "experienceWithNodejs": true,
    "seniorInReactNative": false,
    "sectorExperience": "Fintech"
  }
}

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Approach 2 - Executing the prompt directly

run_prompt_direct.ts
import { JigsawStack } from "jigsawstack";

// initialize the JigsawStack SDK
const jigsawstack = JigsawStack({
  apiKey: "your-api-key",
});


const params = {
  prompt:
    "Given this candidate's experience:{experience}, determine if she should be considered for the Senior Fullstack Mobile Engineer Role with React Native, Node.js, AWS, Next.js, Typescript",
  inputs: [
    {
      key: "experience",
      optional: false,
    },
  ],
  return_prompt: {
    experienceWithNodejs:
      "Return true, if candidate has 4 years and above experience with Node.js. Else return false",
    seniorInReactNative:
      "Return true if candidate has 6 years and above experience building apps with React Native",
    sectorExperience:
      "Return sector the candidate has the most experience in. Example of sector include: Fintech, Edtech, blockchain, Ecommerce, etc.",
  },
};


// Execute prompt outrightly
const result = await jigsawstack.prompt_engine.run_prompt_direct(params);

// Here is the sample result
{
  "success": true,
  "result": {
    "experienceWithNodejs": true,
    "seniorInReactNative": false,
    "sectorExperience": "Fintech"
  }
}

That’s it! We’ve used the Prompt Engine API to automatically evaluate job applications.

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Recommendations

  • For prompts that will be used multiple times, it is recommended to first Create the prompt and then Run it using the prompt ID for better reliability.
  • Run Prompt Direct is ideal for one-time use.

Find more information on Prompt Engine API here

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