If you are looking for the best AI content-writing software, we have listed the top options in this article.
These are some of the top AI writing assistants that will make the content creation process smooth and easy. Most of the software also comes with content optimization features to make sure that your content ranks well.
Software like ChatGPT has become very popular in recent times and it changed how content is looked at. Many big businesses are implementing AI writers in their content creation process.
So, let’s have a look at the list of top AI writing software.
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1.
KoalaWriter
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KoalaWriter is a distraction-free writing application designed to provide a calm and focused environment for writers to increase their productivity and creativity.
Wordhero is an AI-powered writing tool designed to assist with content creation by offering suggestions for blog posts, emails, social media content, and more, enhancing productivity and creativity for writers and marketers.
SEO.ai is an advanced artificial intelligence-driven platform designed to enhance website search engine optimization by offering actionable insights, content optimization recommendations, and automated SEO tasks to improve online visibility and ranking.
HyperWrite is an AI-powered writing assistant that helps users create content more efficiently by providing real-time suggestions, rewriting options, and grammar corrections.
Copy AI is an AI-powered tool designed to generate high-quality, engaging written content for a wide range of applications including marketing copy, blog posts, emails, and social media content.
Cedille.ai is an AI-based language model developed to support French text analysis, offering users tools for grammar correction, text summarization, and sentiment analysis specifically tailored to the nuances of the French language.
Perplexity AI is an advanced, conversational AI platform that utilizes natural language understanding to provide accurate answers and insights across a wide range of topics by querying up-to-date information from the internet.
ChatSonic is an artificial intelligence-powered chatbot designed for real-time, context-aware conversations and generating accurate, up-to-date responses by incorporating the latest news and information.
KoalaWriter AI is an advanced AI-powered writing assistant tailored to support content creators in various writing tasks. Using machine learning algorithms, this tool enhances the writing process by assisting in the creation, editing and refinement of text, positioning it as a premium AI tool for professional writers and marketers. Leveraging the capabilities of GPT-4, KoalaWriter... Read more
WordHero is an AI-powered content creation platform developed by Jeff Tay in 2021. It specializes in creating human-like content across multiple formats, including articles, blog posts, and social media content. Using advanced algorithms, WordHero provides users with efficient tools to produce high-quality content quickly and effortlessly. The platform is designed to support diverse content creation... Read more
SEO.ai is an emergent technological solution founded by Torbjorn Flensted and co-founded by Daniel Hojris Baek in 2022. It integrates Artificial Intelligence (AI) with Search Engine Optimization (SEO) practices to enhance the creation and optimization of high-quality SEO content. The company stands on the foundational pillars of innovation, boldness, transparency, and passion, aiming to revolutionize... Read more
LongShot is an AI writing assistant that helps you write long-form content like a blog article and further research and optimize it to ensure the article is engaging. The use cases of LongShot include a headline, listicle, conclusion, semantic SEO generator, content rephraser, and more. Even though one can use LongShot to create any long-form... Read more
HyperWrite, developed by OtherSideAI, is an innovative product aimed at transforming the field of global communication through the integration of AI-driven software solutions, including the provision of an AI writing assistant. Launched by founders Matt Shumer and Jason Kuperberg in 2020, HyperWrite leverages advanced artificial intelligence to enhance writing capabilities, productivity, and efficiency for its... Read more
CopyAI is a software platform developed in 2020 by Chris Lu and Paul Yacoubian that uses artificial intelligence to improve content creation. The technology uses advanced algorithms to generate text and provides solutions primarily for enterprise applications. With a focus on automating and streamlining the content creation process, CopyAI offers several pricing plans to meet... Read more
Cedille.ai is a proprietary software product developed by Coteries SA, a digital agency based in Lausanne, Vaud, known for its high-quality content generation and AI tool implementation. Specializing in advanced digital solutions, Cedille.ai represents a significant milestone in the company’s evolution, emphasizing artificial intelligence capabilities in content creation and natural language processing. Launched in 2021... Read more
Perplexity AI is a technology company founded in 2022 with a focus on developing innovative products and technologies. Spearheaded by CEO Aravind Srinivas, CTO Denis Yarats, CSO Johnny Ho, and President Andy Konwinski, the company has attracted notable investment, including a recent funding round of close to $15 million. Perplexity AI aims to enhance the... Read more
ChatSonic is an innovative AI chatbot developed by Writesonic, which will be launched in December 2022. Positioned as an advanced AI chat assistant with capabilities reminiscent of ChatGPT, ChatSonic is designed to facilitate sophisticated and dynamic conversational experiences. Y-Combinator powers it and represents a significant leap forward in automated communication technologies. Available for both personal... Read more
ChatGPT is a cutting-edge chatbot developed by OpenAI, capable of engaging in human-like conversations and assisting users with tasks ranging from writing to programming. It stands out for its ability to generate responses based on vast datasets, adaptability to custom training data, and capacity to write software code. Despite occasional inaccuracies and repetition, ChatGPT’s user-friendly... Read more
Writesonic is an AI-driven content generation platform developed by Writesonic, Inc. Utilizing the advanced capabilities of GPT-3 technology, it specializes in creating high-quality digital content, including AI-powered landing pages and AI-generated articles or blogs. Founded in 2021 and headquartered in California, United States, Writesonic aims to revolutionize the content creation process, providing efficient and innovative... Read more
Top Features
Comprehensive AI Writer
User Friendly Dashboard
Supports 25+ Languages
SEO Optimized Content
Chatsonic like ChatGPT
Writesonic Art Generator
Paraphrasing Tool
eCommerce Content
Landing Page Generator
Multiple Free Tools
Pros
Good for all different types of content
Generates plagiarism-free content
User-friendly dashboard
Write engaging social media content
Create perfectly optimized ad copy
Works on all important platforms
AI art generator
Cons
The quality of content is not upto the mark at times
Frase is an AI-powered content software developed by Frase, Inc., established in 2017, leading the way in AI content generation and optimization. Designed to revolutionize the content creation process, Frase leverages innovative artificial intelligence technologies to offer intuitive solutions that facilitate content research, optimization, and automation. With its advanced AI capabilities, Frase enables users to... Read more
Top Features
AI Content Generator
Identify Content Gap
Generate Content Outline
Content Templates
Create Custom Content Templates
Improve Content Quality
User Friendly Editor
Improve Old Content
Content Clustering
Free Content Tools
Pros
Comprehensive content research
Identify & fill content gaps
Find new content opportunities
Create a perfectly optimized content brief
Compare & optimize your content for better ranking
Outranking is an advanced AI-powered content creation software developed by Outranking LLC. Founded in 2016, this cutting-edge technology specializes in generating high-quality content solutions, allowing users to leverage powerful SEO tools to increase their online visibility. The software incorporates innovative algorithms that help create engaging, customized content that positions businesses for better online presence and... Read more
Rytr is an AI content creation platform founded in 2021. It is designed to help users create a wide range of content types with ease. Using advanced AI technology, Rytr enhances the content creation process, enabling the efficient generation of high-quality articles, blogs, and marketing materials. Led by founder and CEO Abhi Godara, the platform... Read more
INK For All is an artificial intelligence (AI) content writing and search engine optimization (SEO) tool. Launched in 2019 by Alexander De Ridder, Michael Umansky, and Gary Haymann, the platform is designed to help businesses create high-quality content quickly and effectively. The software comes with a comprehensive suite of tools to help optimize content for... Read more
Software that can perform intelligent tasks like learning, reasoning, and problem-solving is known as Artificial Intelligence (AI) software. It carries out certain activities that normally call for human intelligence.
Artificial Intelligence Software simulates human intellect using technologies including natural language processing (NLP), deep learning, and machine learning. These technological advancements allow AI software to learn from existing data and gradually produce predictions or classifications that are more accurate.
AI software can complete tasks that would normally require human intelligence or interaction. AI is used in many aspects of our daily lives, such as generative AI tools, video creation, writing assistance, driverless cars, digital assistants, and GPS assistance.
How Does AI Software Support Business Operations?
AI software supports business operations by enhancing efficiency, improving decision-making, and providing personalized customer experiences. Here’s how it can support business operations:
Automation of Routine Tasks: AI can automate routine jobs, allowing workers to concentrate on more strategic and complicated work. This covers duties including scheduling, data input, and customer support queries.
Data Analysis: Artificial intelligence (AI) software can analyze vast amounts of data to find trends, patterns, and insights that can guide business choices. Better workflow, strategic planning, and operational efficiency may result from this.
Predictive Analytics: AI can forecast future trends or results based on past data, which helps companies manage resources, reduce risks, and anticipate customer wants.
Personalized Customer Experience: By tailoring customer interactions according to their habits and preferences, artificial intelligence can increase client loyalty and pleasure.
Better Decision Making: AI can offer insights and suggestions in real-time, assisting organizations in making precise and timely decisions based on information.
What Are the Core Functions of AI Software?
The core functions of AI software include understanding and interpreting data, analyzing and identifying patterns, and solving complex problems. Here’s a list of core functions of AI app:
Understanding and interpreting data
Analyzing and identifying patterns
Making recommendations
Automating processes
Learning from past experiences
Solving complex problems
Recognizing objects
Planning and acting intelligently
What Are the Different Types of AI Software?
The different types of AI software include Machine Learning, Natural Language Processing (NLP), Robotics AI, Expert Systems, Vision AI, Speech AI, and Planning and Scheduling AI. Here’s a table defining them:
Type
Definition
Best for
Machine Learning
Software that learns from data to improve its accuracy without being explicitly programmed to do so.
Predictive analytics and data-driven decision-making.
Natural Language Processing (NLP)
Software that helps computers understand, interpret, and produce human language.
Customer service bots, translation services, and content analysis.
Robotics AI
Software designed to program robots, enabling them to perform tasks autonomously.
Manufacturing, healthcare, and other industries requiring automation.
Expert Systems
AI systems that simulate the decision-making ability of a human expert.
Diagnosing systems in healthcare, financial planning, and troubleshooting.
Vision AI
AI that can interpret and understand visual information from the world.
Surveillance, quality inspection in manufacturing, and autonomous driving.
Speech AI
AI specialized in processing and understanding human speech.
Voice-activated assistants, transcription services, and customer engagement.
Planning and Scheduling AI
AI that focuses on generating and managing schedules and timelines for complex tasks.
Logistics, project management, and automated scheduling systems.
How Do These Types of AI Programs Cater to Various Business Needs?
These AI software improve decision-making, increase consumer interaction, and optimize operations to meet company needs. For example, machine learning algorithms are essential for sectors that depend on data-driven tactics, such as retail and banking, because they can evaluate big datasets and forecast patterns and behaviors.
Businesses concentrating on customer service can benefit from Natural Language Processing (NLP), as it makes it possible to create automated chatbots and support systems that effectively comprehend and address client inquiries.
Robotics AI helps sectors where automation of precise and repetitive operations is essential, such as manufacturing and healthcare. Expert systems are perfect for anything, including technical support and medical diagnosis, since they have sophisticated diagnostic and problem-solving capabilities.
Through visual data analysis to identify anomalies, vision AI improves security and quality control procedures. Speech AI uses voice-activated technology to change client contact models; this is helpful in industries like entertainment and telecommunications.
AI for planning and scheduling enhances operational effectiveness and resource allocation in project management and logistics industries.
Which Type of Artificial Intelligence Tool Is Most Suitable for Your Business?
The kind of AI software that will work best for your company will rely on your unique requirements and operational difficulties. Machine learning can be the best option for your company if processing massive amounts of data and gaining insights for improved decision-making are essential.
Natural Language Processing (NLP) can automate and streamline communication procedures for companies looking to enhance customer connection and service. Robotics AI can greatly help businesses in the manufacturing and shipping sectors by automating intricate physical processes.
An expert system could be extremely helpful if your company works in an industry like healthcare or finance, where specific knowledge or judgment is needed. Vision AI should be considered by companies that handle visual data, such as those in quality control or security.
Businesses looking to improve their user interfaces with voice recognition capabilities will find speech AI useful. Finally, Planning and Scheduling AI will assist in effectively managing the complexity associated with scheduling and resource optimization if they are fundamental to your operations.
What Are the Pros and Cons of Each Type of AI Application Platform?
The pros and cons of each type of AI application vary based on their capabilities, functionalities, and use cases. Here are the pros and cons of each type of AI application:
Machine Learning
Pros:
Enhances predictive analytics and data-driven decision-making.
Continuously improves performance with more data, providing increasingly accurate insights.
Cons:
Requires substantial data to train effectively, which can be a barrier for small businesses.
Potential for bias in AI models if the training data is not diverse or representative.
Natural Language Processing (NLP)
Pros:
Facilitates enhanced customer interaction through chatbots and virtual assistants.
Can process and analyze large amounts of unstructured text data quickly.
Cons:
Struggles with understanding context, sarcasm, and nuanced language, which can lead to misunderstandings.
Requires regular updates to keep up with evolving language and slang.
Robotics AI
Pros:
Increases productivity and efficiency in repetitive and precise tasks.
Reduces human error and enhances safety in hazardous work environments.
Cons:
High initial setup and maintenance costs.
This can lead to job displacement, particularly in manual and assembly roles.
Expert Systems
Pros:
Provides consistent answers and solutions to specialized problems.
Stores and recalls vast amounts of specialized knowledge.
Cons:
Lacks the ability to learn from new data; updates and maintenance require expert input.
It can be expensive to develop due to the need for extensive domain-specific knowledge.
Vision AI
Pros:
Effective in environments where visual monitoring and quality control are necessary.
Can process visual data much faster and more accurately than humans.
Cons:
Requires high-quality, labeled images for training, which can be resource-intensive to compile.
Performance can vary significantly based on changes in visual conditions (e.g., lighting).
Speech AI
Pros:
Provides a more natural user interface, especially for accessibility purposes.
It enables hands-free control and operation, which can enhance user experience.
Cons:
They may have difficulties with accents, speech impediments, or background noise.
Privacy concerns arise from the constant need to process and sometimes store voice data.
Planning and Scheduling AI
Pros:
Optimizes resource use and operational efficiency.
Capable of handling complex logistics and scheduling challenges with ease.
Cons:
It can be complex to set up, requiring detailed input on operational parameters.
Less flexible in dynamic environments where conditions change rapidly.
What Are the Free and Open Source Alternatives to Commercial AI Software?
The free and open-source alternatives to commercial AI software include TensorFlow, Keras, PyTorch, and SpaCy. Here’s a list of some of them:
TensorFlow
Keras
PyTorch
Scikit-learn
Pandas
Matplotlib
Seaborn
What Are the Best Free AI Software Solutions?
The best free AI software solutions include TensorFlow, Sickit-learn, Keras, GPT-2, Apache Mahout, and NLTK. Here is a table comparing them:
Software Name
Key Features
Best for
TensorFlow
Extensive machine learning library, supports deep learning models
Businesses and researchers needing robust, scalable machine learning tools
Scikit-learn
Simple and efficient tools for predictive data analysis, extensive documentation
Data scientists and analysts focusing on data mining and data analysis
Keras
High-level neural networks API, runs on top of TensorFlow
Developers new to machine learning, looking for ease of use and flexibility
GPT-2 (by OpenAI)
Advanced text generation capabilities
Content creators, marketers, and developers needing automated text generation
Comprehensive library for natural language processing
Academics and developers in need of tools for human language data processing
What Are the Top Open Source AI Applications?
The top open-source AI applications include TensorFlow, PyTorch, Keras, OpenAI, OpenCV, and Rasa. These platforms empower users to leverage AI’s substantial potential effectively. They are helping humanity move toward a futuristic world faster than most anticipated.
These tools are widely used in the AI community for research and development. Here is a list of some of these tools:
TensorFlow
PyTorch
Keras
OpenAI
OpenCV
H2O.ai
Rasa
Who Can Benefit from AI Apps?
A wide range of individuals and organizations can benefit from AI software, from small startups to large multinational corporations. Here’s a closer look:
Retailers
Financial Organizations
Healthcare Providers
Marketers
Manufacturers
Software Developers
Which Industries or Sectors Benefit the Most from AI Applications?
Industries or sectors that can benefit the most from AI software include manufacturing, autonomous vehicle navigation, education, and logistics. Here is a list of some of the industries or sectors that can benefit:
Manufacturing
Autonomous Vehicle Navigation
Education
Medical Testing And Diagnosis
Financial Services
Logistics
How Can Businesses of Different Sizes Benefit from AI Software?
Businesses of different sizes can benefit from AI software by enhancing operations, increasing efficiency, and enabling better decision-making. Here’s a table showing different businesses:
Business Size
Key Benefits
Small Businesses
– Streamline operations and reduce costs through automation. – Enhance customer service with AI-driven chatbots. – Improve decision-making with data analytics tools.
Medium-sized Businesses
– Optimize supply chain management and inventory through predictive analytics. – Increase market reach and personalization with AI-driven marketing tools. – Enhance productivity and operational efficiency with process automation.
Large Enterprises
– Implement advanced machine learning models to forecast trends and make strategic decisions. – Utilize extensive data sets for deep learning to gain competitive insights. – Automate and refine large-scale, complex processes across global operations.
What Are the Key Features to Look for in AI Software?
The key features to look for in AI software include data preprocessing, training and validation, model selection and customization, documentation and support, deployment and integration, and flexibility and customization. Here’s a brief description of each:
Data Preprocessing: Most AI software offers tools for cleaning, standardizing, and preparing data to prepare for machine learning models.
Training and Validation: AI software can train and verify machine learning models.
Model Selection and Customization: AI software can choose and alter machine learning models.
Support and Documentation: Comprehensive documentation and user support are standard features of high-quality AI software.
Integration and Deployment: AI software ought to facilitate other systems’ effortless deployment and integration.
Flexibility and Customization: Artificial intelligence software must be adaptable and scalable to the user’s unique requirements.
How Can Specific Features of AI Programs Translate to Business Benefits?
Specific features of AI programs can translate to business benefits by enhancing efficiency, reducing costs, and improving decision-making across various operations.
Machine learning algorithms, for instance, may automate and improve intricate procedures like customer segmentation and demand forecasting, resulting in better resource allocation and strategic planning.
By providing real-time, round-the-clock chatbot services that will enhance customer experience while lightening the workload for human staff, Natural Language Processing (NLP) tools have the potential to transform customer support completely.
Furthermore, AI-driven analytics can efficiently and effectively extract insights from massive data sets, assisting companies in remaining competitive in quickly evolving marketplaces.
Robotics in manufacturing can improve production line speed and precision, which will immediately affect throughput and product quality. These AI capabilities have unique benefits that increase customer happiness, cost-effectiveness, and operational improvements.
What Are the Must-Have Features vs. Nice-to-Have Features in AI Applications?
The must-have features in AI applications are critical for the product’s success, while the nice-to-have features are desirable but not essential to the product’s core function. Here’s a closer look:
Must-Have Features
Data Preprocessing: Instruments for cleaning, standardizing, and preparing data for machine learning models.
Training and Validation: The ability to put machine learning models through their training and verification.
Machine Learning Model Selection and Customization: The capacity to choose and modify models.
Deployment and Integration: The capacity to integrate with other systems and easily deliver applications.
Nice-to-Have Features
Assistance and Documentation: Although unnecessary, thorough assistance and documentation can aid users in using AI software and resolving problems.
Flexibility and Customization: AI software that is adaptable and adjustable may change to meet a company’s evolving needs.
What Are the Pricing Models for AI Software?
The pricing models for AI software can vary widely depending on the service, usage, and functionality provided. Here are some common pricing models:
Subscription-based: Requires a set monthly or yearly payment to access the program. According to usage and feature access restrictions, this arrangement frequently includes several tiers.
Per-user pricing: Charges according to the number of users using the program; appropriate for team-based collaborative tools.
Pay as you go: fees are determined by the quantity of resources used. This is typical for cloud-based services, where processing power can grow in response to demand.
Freemium: Provides entry-level functions at no cost but charges a fee for access to more sophisticated features and functionalities.
One-time license fee: Usually applied to more conventional software sales, this type of licensing requires a single upfront payment to grant perpetual usage of the program.
What Are the Potential Hidden Costs or Fees Associated with AI Programs?
The potential hidden costs or fees associated with AI programs can include upfront costs, ongoing costs, staffing and training, data-related costs, ethical and legal costs, and hidden opportunity costs. Here’s a brief description of each:
Upfront Costs: These are the costs associated with starting from scratch. They consist of implementation, infrastructure, and license fees.
Ongoing Costs: You’ll save money by avoiding license payments using a local large language model (LLM). However, depending on your use case, you must consider routine system maintenance, model training, and upgrades.
Personnel and Instruction: Hiring seasoned AI experts won’t come cheap, but depending on your goals, it may be a value multiplier.
Costs Associated with Data: The foundation of any AI system is data. The amount and quality of data greatly influence how well an AI system performs. As a result, gathering, preparing, and maintaining data can be expensive.
Legal and Ethical Costs: Ensuring that the AI system is used in a way that conforms with all applicable rules and regulations may also come with costs.
How Do the Pricing Models of Different AI Software Providers Compare?
The pricing models of different AI software providers vary widely, depending on factors such as the type of AI solution, project complexity, dataset size, and algorithm accuracy. Here’s a table comparing them:
Provider
Pricing Model
Starting Price
Viso Suite Platform
Subscription-based
Custom pricing, contact for details
ChatGPT Software
Subscription-based
$20,00/Month for Paid Version
Jupyter Notebooks
Free, open-source
Free
Google Cloud AI Platform
Pay-as-you-go
Custom pricing, contact for details
Azure Machine Learning Studio
Free tier; pay-as-you-go for additional resources
$9.99/Month
What Are the Top AI Software Solutions in 2024?
The top AI software solutions in 2024 include OpenAI Chatgpt, Google Cloud AI Platform, Azure Machine Learning Studio, and H2O.Ai. Here is a table comparing them:
Software
User Rating
Pros
Cons
OpenAI ChatGPT
4.8/5
Advanced natural language processing, highly interactive
Can generate biased or incorrect information occasionally
Google Cloud AI Platform
4.7/5
Extensive tools and integration options, strong support for machine learning
Can be complex and expensive for smaller projects
Azure Machine Learning Studio
4.6/5
User-friendly interface, strong collaboration features
Some limitations in deep customization
IBM Watson
4.5/5
Strong in data handling and processing, diverse AI capabilities
High cost and sometimes steep learning curve
TensorFlow
4.7/5
Open-source, flexibility, robust community support
Requires technical expertise to implement effectively
H2O.ai
4.5/5
Effective in automating machine learning, accessible to non-experts
Primarily focused on machine learning, less broad AI utility
How Do Users Rate These Top AI Software Solutions?
Users rate these top AI software solutions differently based on their experiences, needs, and the specific features of each tool. User ratings reflect several key factors:
Ease of use
Feature set
Performance and reliability
Support and community
Cost-effectiveness
Innovation and updates
What Are the Strengths and Weaknesses of the Most Popular AI Software Applications?
The strengths and weaknesses of the most popular AI software applications vary based on their specific features, use cases, and the needs of the user. Here are the strengths and weaknesses of popular AI tools:
OpenAI ChatGPT
Strengths:
Advanced natural language processing capabilities that provide highly interactive and nuanced conversations.
Continuous learning from interactions enhances accuracy and relevance over time.
Weaknesses:
Dependency on the quality and bias of training data can lead to inaccurate or biased outputs.
High computational resources are required for operation, which can limit scalability for smaller users without robust infrastructure.
Google Cloud AI Platform
Strengths:
Comprehensive suite of tools that support all phases of AI model development, from building to deploying and maintaining.
Seamless integration with other Google Cloud services enhances functionality and user experience.
Weaknesses:
The complexity of the platform can be daunting for beginners or small teams without dedicated IT support.
Pricing can be unclear and potentially expensive, especially as projects scale.
Azure Machine Learning Studio
Strengths:
The intuitive drag-and-drop interface makes it accessible to users without extensive programming knowledge.
A strong set of machine learning algorithms and pre-built models are readily available for use.
Weaknesses:
Some users find the tool less flexible than coding-based environments.
Limited control over the underlying infrastructure can affect performance tuning.
IBM Watson
Strengths:
Strong data handling capabilities, particularly with structured data.
Offers a broad range of AI services from language to data analysis, making it versatile across various use cases.
Weaknesses:
It can be expensive, making it less accessible for startups and smaller businesses.
The platform’s wide array of tools can be overwhelming and require a steep learning curve.
TensorFlow
Strengths:
Open-source framework with strong support for deep learning and machine learning models.
Large community support fosters continuous development and problem-solving.
Weaknesses:
Requires a significant amount of manual coding, which can be a barrier for those without technical expertise.
Resource-intensive, needing powerful hardware to perform optimally.
H2O.ai
Strengths:
User-friendly platform that automates many aspects of machine learning, making it accessible to non-experts.
Efficient in handling large datasets and performing complex analytical tasks rapidly.
Weaknesses:
While it simplifies many processes, it may not offer the depth needed for highly specific or unconventional tasks.
Some users may require deeper customization options that are less readily accessible within the platform.
