Deep-Dive Blog Post Creator - the AI-Powered, Comprehensive Blog Crafting app. It allows users to set specific variables, and leverages AI to generate custom, high-quality posts. Your blog post won't be a mere overview but a full immersion into the subject matter, with valuable insights, data, personal anecdotes, and industry terms. Each blog crafted is an in-depth, engaging, reader-friendly perspective with a strong call-to-action, benefiting seasoned bloggers and online publishers.
To run this app online: Deep-Dive Blog Post Creator Online
To learn more about AI Apps for Blogger use-cases in the Blogging & Online Publishing industry, read How to Elevate Your Blogging with AI Content Writing Tools
HeroML is an AI Prompt Chain/Workflow interpreter for Apps built on https://hero.page
To see other apps, visit the Hero Apps page or explore AI Apps for all industries in the blog section
For more documentation, visit Hero docs, and learn about AI App Workflows
Download VSCode Syntax Highlighter Ext. here
To install the HeroML CLI tool, you need to have Node.js and npm (comes with Node.js) installed on your machine. If you don't have these, please install them first.
Then, run the following command in your terminal:
npm install -g heroml
This will install the HeroML CLI tool globally on your system, allowing you to use the hero
command from any directory.
If you don't want to install it globally, you can run:
npm install heroml
and use it like:
npx hero run ./deep_dive_blog_post_creator.heroml
We'll be using hero run ...
in this tutorial for simplicity.
Before using the HeroML CLI tool, you need to configure your OpenAI API key.
Create a heroconfig.json
file in your home directory with the following content:
{
"openaiApiKey": "your-openai-api-key"
}
Replace "your-openai-api-key"
with your actual OpenAI API key.
To run a HeroML script, use the run
command followed by the path to your script:
hero run ./deep_dive_blog_post_creator.heroml
You can provide initial variable values as command-line options. For example, if your script expects a variable named number_of_colors
, you can provide its value as follows:
hero run --number_of_colors 4 ./deep_dive_blog_post_creator.heroml
If you do not provide a value for a variable, the HeroML CLI tool will prompt you to enter it interactively.
You can specify the output directory and the filename of the output file using command-line options:
- The
-o
or--output-dir
option allows you to specify the output directory. By default, it is./outputs/
.
hero run --output-dir /custom/output/directory ./deep_dive_blog_post_creator.heroml
- The
-f
or--filename
option allows you to specify the filename of the output file. By default, it isresponse_TIMESTAMP.json
.
hero run --filename custom_filename.json ./deep_dive_blog_post_creator.heroml
The CLI tool writes the output to a JSON file in the specified directory. It will print the path of the output file to the console:
Success! Output written to /custom/output/directory/custom_filename.json
Your task is to write a "Blog Post" for the "Blogging & Online Publishing" industry, specifically for a "Blogger". Let's start by creating an engaging introduction that sets the context and asserts the relevance of the post topic: {{post_topic}}.
Here's some more context about the Blog Post:
Post Topic: {{post_topic}}
Section Details: {{section_Details}}
Industry Terms: {{industry_terms}}
Practical Tips: {{practical_tips}}
Call To Action: {{call_to_action}}
->>>>
We have created an introduction for our blog post:
Introduction:
{{step_1}}
Based on this introduction, let's introduce the main sections of the post. Each section should deal with different facets of the {{post_topic}}, ensuring a smooth flow from one section to the next.
->>>>
Our blog post now has an introduction and a structure for the main sections:
Introduction:
{{step_1}}
Main Sections:
{{step_2}}
Building upon these sections, let's provide further details in each section by elaborating points with examples, data, or personal anecdotes informed by the {{section_Details}}.
->>>>
For our blog post, we have an introduction, main sections, and their elaborate details:
Introduction:
{{step_1}}
Main Sections with Elaborate Details:
{{step_3}}
Next, integrate industry-specific terms and concepts from the {{industry_terms}} within your content to enhance its relevance and value.
->>>>
Our blog post now incorporates industry terms within the content:
Introduction:
{{step_1}}
Content with Industry Terms:
{{step_4}}
Now, address potential questions or objections that readers might have related to the {{post_topic}} to actively engage the reader and build credibility.
->>>>
Our blog post addresses potential queries or objections of the readers:
Addressed Reader Queries:
{{step_5}}
Now, let's enrich our blog posts with actionable tips or advice related to the {{post_topic}} using the {{practical_tips}}.
->>>>
Our blog post now has practical takeaways for the readers:
Actionable Tips:
{{step_6}}
Next, conclude the blog post with a summary of the key points and a restatement of why understanding the {{post_topic}} is valuable.
->>>>
Our blog post now has a concluding summary:
Concluding Summary:
{{step_7}}
To wrap up the blog post, encourage comments, sharing, or prompt your readers to take action using the {{call_to_action}}. This might include encouraging them to sign up for a newsletter, asking a question to foster discussion, or calling for social media shares.