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How to Create an AI platform like Jasper

how to create an AI platform like jasper

Are you planning to build an AI platform like Jasper which is an AI platform specially designed for generating high-quality and original content for blogs, marketing copy, and any kind of product description by just giving information?

AI market will reach $126 billion by 2025 According to Statista.

Building an AI platform the same as Jasper requires various combinations such as advanced technologies and proper systematic planning and you should have a deep knowledge of natural language processing (NLP).

We have made proper steps for you to create an AI platform that is easy for you to understand and you can create a platform easily after reading these steps.

Have a look below are the steps you can follow to build a AI platform:

1. Set up your plan

Before creating an AI platform like Jasper, you have to decide what is the reason and purpose for creating an similar Jasper AI platform.

You should have clarity in mind on what is the objective of creating a platform. You should make a list of questions with answers regarding your goal. We are giving you an example of question:

  • Who is your target audience?
  • What kind of content material will your platform offer?
  • What unique features will you give in your platform that are different from existing platforms?

2. Select the Core AI Model

You need to select the AI model like chatgpt, gemini etc that will power your application. This core model is important for handling the key tasks your AI needs to perform.

Below are the 3 things to consider you need:

  • Model Training: With the help of NLP Framework, you need to train AI models. You can take advantage of OpenAI’s API if you are using GPT-3, GPT-4 to build a platform as per your needs.
    If you want to build a pre-trained model, you need to focus on transfer learning.
  • Model Evaluation: You can increase the performance of your AI model with the help of using metrics such as perplexity, BLEU score, and human evaluation.

3. Choose the right technology stack

When you are building an AI platform you need to choose the right technology stack because the right technology ensures your AI platform runs smoothly and efficiently. You have to select frameworks, languages, libraries, and tools that are suitable for your platform goals.

We have explained in detail below regarding the technology you need:

Natural Language Processing (NLP) Frameworks: You need a NLP framework to create an AI platform that can easily generate text as required by the user.

The NLP framework is the collection of methods that are used to make the machine learn and understand the language of humans easily.

We are giving you an option that you can use:

  • GPT (Generative Pre-trained Transformer): It is a NLP model. With the help of open AI, you can use an API that is given by open AI and if you have resources you can also give training a custom model.
  • BERT (Bidirectional Encoder Representations from Transformers): It is an NLP model that can be fine-tuned for various language tasks.

Libraries and Tools: You will have a faster and easier development process if you are using libraries and tools in building AI platforms. Using libraries and tools saves lots of time and helps to work more efficiently.

  • TensorFlow: It is an open-source framework. It is used for building machine learning models.
  • PyTorch: It is also an open-source framework and it is based on Python language. Pytorch helps in building and giving training to machine learning models.
  • NLTK: The full form of NLTK is the Natural Language Toolkit. It is used for building Python programs that can work easily with natural language.
  • SpaCy: It is a Python library that provides natural language processing tasks.
  • Hugging Face Transformers: It provides thousands of pre-trained models for tasks such as text, vision, and audio, making it easy to access transformer models.

Programming Languages: When you are creating an AI platform you need to select a programming language that fits well in AI and NLP development.

Below are the two languages you can use in building AI content generation platform.

  • Next.JS / JavaScript: It is useful for executing AI functionalities into web pages.
  • Python: It is the programming language that is used to build web applications and is also popular for AI and machine learning because of its extensive libraries and frameworks.
  • Database: Chroma, Pinecone, Qdrant, MongoDB

AI platform development guide

4. Build the Platform

Build the platform like Jasper AI by developing both the backend and front-end development. Also, you need to complete the process thoroughly with integration and testing for better performance.

  • AI/ML Expert: You can work with AI/ML expert who can help you in train your AI model for better prompt response.
  • Backend Development: Develop a reliable backend to manage a model inference and user interactions Utilize RESTful APIs for seamless communication and databases like PostgreSQL or MongoDB for efficient data storage.
  • Frontend Development: You have to create a user-friendly and responsive user interface with features like a content generation interface for prompt input and content viewing, customization options for the tone, and style, and secure user authentication and authorization.
  • Integration and Testing: Connect both development so they work better together.
    And after integrating both you have to test everything to find and fix any bugs or performance issues.

developing AI platform

5. Create Key Features

When building an AI platform you have to incorporate important features to make your platform functional and effective.

Below are the key features you can work on:

  • User Personalization: You can add features like saving preferences, accessing content history, and giving feedback on generated content that helps users to personalize their experience.
  • Content Quality Control: If you want to make your content accurate and original, you have to make sure that your AI content is high-quality for users and your content should be correct with grammar and spelling.
    When your platform is giving accurate and original content you can use Grammarly and Plagiarism detection tools.
  • Scalability and Improve Performance: You have to make sure that your AI platform can manage a growing user base by optimizing performance and scalability.
    For scalable infrastructure and load balancing you can use cloud services like AWS or Google Cloud.

6. Launching your AI platform

You are able to launch your platform now. Start monitoring your AI content generation platform performance and start collecting feedback to make continuous improvements in your platform.

We are providing you with three key steps you can follow:

  • Early user testing: Now it’s time to engage with testers to collect user experience and feedback and can change updations accordingly.
  • Launch: Once testers have done their job of getting feedback and making improvements it’s time to launch your AI platform.
  • Regular updates and Improvements: After launching your platform you need to monitor the performance of your AI platform. You also need to collect data and feedback from your user regarding any issues and updates

Your platform will be more relevant and competitive if you regularly improve your platform.

blueprint for Jasper inspired AI platform

7. Cost and time for AI content generation platform

You can check the Web app similar to Jasper AI overall cost. Here’s a breakdown of the key aspects and their potential costs:

Development Team:

  • Project Manager: $50 – $150 per hour
  • UI/UX Designer: $40 – $120 per hour
  • Frontend Developer: $50 – $130 per hour
  • Backend Developer: $60 – $150 per hour
  • AI/ML Specialist: $80 – $200 per hour
  • QA Engineer: $30 – $100 per hour

Development Time:

Development time can vary widely based on complexity, features, and the expertise of the development team. For an app like Jasper AI, the development timeline might be around 6 to 12 months.

Conclusion

When you are planning to create an AI platform like Jasper requires many advanced and latest technologies, proper planning, and a user-experience approach.

If you follow the above steps as we mentioned in this article you can easily make an AI platform similar to Jasper that can generate AI content for your customers. ControlF5 already created lots of mobile and web application for AI content generation platform.

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Anurag Pandey

I lead ControlF5, a Top Rated Plus agency specializing in WordPress, Shopify, and GoHighLevel development. With over 4,000+ successful projects on Upwork, 150+ verified reviews on Clutch, and 300+ completed projects on Freelancer, my team and I help global brands grow through strategic design, automation, and SEO excellence. Holding a B.E. in Computer Science, I’m passionate about combining AI-driven workflows and GoHighLevel automations to simplify marketing, boost organic SEO, and scale customer engagement. I actively share insights across web development and AI communities to help others navigate the evolving digital landscape. For me, web design isn’t just about aesthetics, it’s about building SEO-optimized, conversion-ready experiences that create measurable business growth in the AI-powered era.
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