No matter what you’re selling, it’s important to provide a description so your customers can easily find and understand it. However, creating multiple narratives can be a laborious and time-consuming task; It may take hours, days or weeks to complete.
By comparison, large companies like Amazon with 1.5 million employees won’t be many. Take a look at the costs involved in creating content. But this becomes a significant challenge for small businesses that have long struggled with limited human resources. Here’s a tip to help you speed up your content writing process.
Facing the Challenge
The first category includes articles about solar energy and its benefits. This requires creating best-in-class content that is also useful and informative to our readers. Choose topics carefully, conduct extensive research, and spend a lot of time editing and improving the quality of the text. Despite the good results of our efforts, it is best not to invest more than 10 man-hours on one article.
The second category includes many directory services that are typically optimized for SEO. Let’s be honest, writing these words can be a stressful and challenging task. Business must be specifically explained in every solar panel we offer. It usually takes the writer 1-2 hours to write one of these descriptions. The size of these projects is staggering as the solar panel market continues to expand with constant additions.
Limitations of Artificial Intelligence
Of course, try to use ChatGPT to create good content. While this technological genius is incredible, the results seem a bit problematic.
As you become familiar with ChatGPT, its shortcomings will become apparent. Here are the issues we found particularly problematic:
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The ChatGPT 3.5 experience is limited to data available prior to September 2021. It is not suitable for projects that require new knowledge.
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Accuracy – Checking is necessary when using ChatGPT as it may indicate errors caused by outdated equipment or incorrect information. It often makes it difficult to write deep sentences, especially when the subject is difficult and scarce.
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His writings are often long, vague and difficult. Sometimes editing ChatGPT output can take more time than creating content from scratch.
When your blog follows a good style and needs new information, ChatGPT’s functionality is really limited. But we see the benefits of using it. Instead of relying on it to write full essays, we use it to complete tasks like explaining complex concepts, performing math calculations, generating name ideas, and more.
Phrases like “Tell X in simple terms” or “Tell X like a beginner” can generate answers that can be incorporated directly into your article. It’s important to clearly define your work and create details such as the requirement “Write two sentences with three sentences each.”
If you’re not happy with the initial results, consider splitting up your work. . Tasks are divided into smaller parts. Instead of searching the entire text, ask ChatGPT questions that correspond to different parts of the text. Additionally, if you encounter common themes in your text, it’s worth calling QuillBot for help with paraphrasing.
It is worth noting that some texts may not be suitable for writing using ChatGPT alone. Sometimes, even though AI can do most of the work, only minor improvements are needed. Overall, AI technology has proven to be very beneficial, increasing our productivity by an average of 20-60%.
Automatic Product Description
Unfortunately, we are encountering issues when trying to use ChatGPT to create product descriptions. But our writer Max became increasingly fed up with the task of explaining various solar panels and eventually created his own solution. This is a significant change in our quest to speed up content creation.
Product descriptions often follow or may conform to a common pattern. It seems that the details are similar in the field of solar panels.
Although there are some differences in the technology and performance of individual solar panels, these differences are limited. For example, the description of a solar panel often includes power supply, efficiency, long-term operation in weather conditions, design, etc. It is related to.
When a product is unavailable because it is out of stock, efforts to describe it will seem futile. However, the content created during the process can still be useful. If a good explanation demonstrates a concept such as protection related to solar panels, it can be repeated in the next explanation. Instead of relying on copy and paste (Ctrl + C Ctrl + V), Max decided to do the entire process himself.
Well Designed Algorithms
Combining creativity with simple coding skills can be great. Here’s how Max uses it to make things descriptive:
Identifying similarities: Max begins by identifying recurring patterns and patterns in the description of the sun. Describing the business process is not a difficult task after spending a lot of time writing a personal statement.
Create a template: Max creates a solar disclosure template using the template. These models are considered to be divided into suitable points, some of which are selected as options depending on the specific panel described.
Building Blocks from Basic Elements: Max will take our existing descriptions and break them down into building blocks, creating each block with corresponding parts connections in the structure. This involves identifying specific words found in each description and combining them into the appropriate section of the model.
Explain the difference: Our printers repeatedly modify the data in the model with different settings. This feedback allows us to quickly update the description to accurately reflect the features of each solar panel.
Maximum Development: Python script that simplifies the creation of descriptive objects. The program is based on 25 different characteristics that must be entered into each person’s solar panel via a Google form. Using these features as input, our text editor seamlessly fills in key elements and selects appropriate patterns to create a unique narrative.
Finally: We successfully integrate automatic workflows into our system. We use Google Colab to create a user-friendly interface. When a new solar panel needs a description, we fill out a Google doc with its specifications, fire up all the smart books, and within seconds we get a link to a Google doc with the description.
Enabling Faster Content Creation, Results
Maximum automation has been created to simplify and eliminate the need to send requests to our IT department. Max’s Python script efficiently uses libraries like Numpy, Gsread, and Docx to process and manipulate data.
Leveraging handwriting and careful proofreading eliminates the need to use advanced natural language processing techniques to ensure grammatical correctness and semantic consistency in the generated description.
However, this letter contains many verification processes to determine truth and accuracy. Input parameter integrity. For example, it ensures that the entry fee is in a predetermined format or follows a specific format. These checks help prevent errors and improve the accuracy of the description created.
The solution took us less than 30 hours of work, including initializing the script. It works well: Writing a description of the solar panel now takes about 10 minutes. Other than writing out the properties for this panel in a Google Spreadsheet (which takes about 10 minutes), all it takes is a few clicks.
When you create a book like Frankenstein’s monster, it’s not always pretty. But it doesn’t have to be that way: this explanation works, and this tool saves us writers countless hours every week.
The important thing is to create a general template and pre-process the existing text. Even having only 5-7 alternatives for each block reason in the model description can produce good results.
It is important to ensure that these changes are flexible and to carefully consider the features you will use and their impact on the composition of the generated description. This method ensures the diversity and quality of the language. Special thanks to Max for introducing us to the art of rapid content creation.
Summary
Regardless of what you’re selling, providing clear descriptions is essential for customer comprehension. Faced the challenge of content creation and the limitations of AI. To expedite the process, developed a well-designed algorithm that streamlined description writing, reducing the time required to just 10 minutes.
This ingenious solution, crafted by Max, relies on a universal template and thorough preprocessing. It has proven to be a game-changer, saving our team valuable hours. The key lies in adaptability, with 5-7 alternatives for each description block. Max’s innovative approach has revolutionized our content creation process, showcasing the power of creativity and efficient coding.
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