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A) SUBAGENT SUMMARY: ResearchConductor conducts deep research on user-provided keywords and sections, brainstorms relevant domains, selects top URLs, crawls and summarizes content, and outputs the research in a structured JSON format.

B) FINAL TASK OUTPUT: A JSON object containing search queries (list of strings), selected URLs (list of strings), crawled content (list of strings), and summaries (list of strings) for each user-provided keyword or section.

C) SUBAGENT INPUT:
- User-provided keywords (list of strings)
- User-provided vague sections (list of strings)

E) SUBAGENT TASK SUMMARY:
1. Research each user-provided keyword and section deeply using skill #181
2. For each researched keyword/section:
   a. Brainstorm the most relevant domains/websites based on the research using skill #185
   b. Select the top 3 URLs from the brainstormed list
   c. Crawl the content from the selected URLs using BeautifulSoup (REQUIRED)
   d. Summarize the crawled content using a text summarization API or library (REQUIRED)
3. Store the search queries, selected URLs, crawled content, and summaries for each keyword/section in a JSON object using skill #238
4. Return the JSON object as the final output

F) SILOS:
SILO 1: Keyword Research
- Input: User-provided keywords
- Sequence:
  1. Use skill #181 to research each keyword deeply
  2. Use skill #185 to brainstorm the most relevant domains/websites for each researched keyword
  3. Select the top 3 URLs for each keyword from the brainstormed list
- Output: Search queries, selected URLs, and research summaries for each keyword

SILO 2: Section Research
- Input: User-provided vague sections
- Sequence:
  1. Use skill #181 to research each section deeply
  2. Use skill #185 to brainstorm the most relevant domains/websites for each researched section
  3. Select the top 3 URLs for each section from the brainstormed list
- Output: Search queries, selected URLs, and research summaries for each section

SILO 3: Content Crawling and Summarization
- Input: Selected URLs from SILO 1 and SILO 2
- Sequence:
  1. For each URL:
     a. Crawl the content using BeautifulSoup (REQUIRED)
     b. Summarize the crawled content using a text summarization API or library (REQUIRED)
- Output: Crawled content and summaries for each URL

SILO 4: JSON Object Creation
- Input: Search queries, selected URLs, crawled content, and summaries from SILO 1, SILO 2, and SILO 3
- Sequence:
  1. Use skill #238 to store all the data in a structured JSON object
- Output: Final JSON object containing search queries, selected URLs, crawled content, and summaries for each user-provided keyword and section

SubAgent #1 - Diagram

Expand Diagram

A) SUBAGENT SUMMARY: The Content Structuring Agent analyzes the summarized research content and creates a structured outline for the ebook.

B) FINAL TASK OUTPUT: A JSON object containing the 10 specific section titles (list of strings) and a structured outline (dictionary with section titles as keys and bullet points or short descriptions as values).

C) SUBAGENT INPUT: Text summaries of researched content from the previous Research Agent.

E) SUBAGENT TASK SUMMARY:
1. Extract content of research summaries (#236)
2. Analyze the extracted content using NLP techniques like topic modeling or clustering with the code interpreter (#238)
3. Based on the analysis, generate 10 specific section titles for the ebook (#178)
4. For each section title:
   a. Select the most relevant information from the analyzed content (#217)
   b. Generate bullet points or short descriptions for the section using the selected information (#178)
5. Create a structured outline with section titles as keys and the generated bullet points or short descriptions as values (#180)
6. Store the section titles and structured outline in a JSON object (#180)
7. Return the final JSON object containing the section titles and structured outline (#215)

F) SILOS:
Silo 1: Content Extraction and Analysis
- Extract content of research summaries (#236)
- Analyze the extracted content using NLP techniques (#238)

Silo 2: Section Title Generation
- Generate 10 specific section titles based on the content analysis (#178)

Silo 3: Section Content Generation
- For each section title:
  - Select the most relevant information from the analyzed content (#217)
  - Generate bullet points or short descriptions for the section (#178)

Silo 4: Structured Outline Creation
- Create a structured outline with section titles and generated content (#180)
- Store the section titles and structured outline in a JSON object (#180)

Silo 5: Output Preparation
- Return the final JSON object containing the section titles and structured outline (#215)

SubAgent #2 - Diagram

Expand Diagram

A) SUBAGENT SUMMARY: The Content Generation Agent generates well-structured and coherent written content for each of the 10 sections of the ebook, along with relevant images.

B) FINAL TASK OUTPUT: 10 plain text files containing well-structured and coherent written content for each section of the ebook, and 10 relevant images (1792x1024 rectangles) in PNG format.

C) SUBAGENT INPUT:
- JSON object containing the 10 specific section titles (list of strings) and a structured outline (dictionary with section titles as keys and bullet points or short descriptions as values)
- Summarized research content for each section

E) SUBAGENT TASK SUMMARY:
1. Input: JSON object with section titles and structured outline, summarized research content
2. For each of the 10 sections:
   a. Retrieve relevant information from the summarized research content
   b. Use skill #177 (Write Text From Researched Text) to generate well-structured and coherent written content
   c. Save the generated content as a plain text file
   d. Use skill #169 (Create Dalle Image - Rectangle) to generate a relevant 1792x1024 image based on the section content
   e. Save the generated image as a PNG file
3. Output: 10 plain text files with written content and 10 PNG image files

F) SILOS:
Silo 1: Content Generation
1. Input: JSON object with section titles and structured outline, summarized research content
2. For each of the 10 sections:
   a. Retrieve relevant information from the summarized research content
   b. Use skill #177 (Write Text From Researched Text) to generate well-structured and coherent written content
   c. Save the generated content as a plain text file
3. Output: 10 plain text files with written content

Silo 2: Image Generation
1. Input: 10 plain text files with written content
2. For each of the 10 sections:
   a. Use skill #169 (Create Dalle Image - Rectangle) to generate a relevant 1792x1024 image based on the section content
   b. Save the generated image as a PNG file
3. Output: 10 PNG image files

Final Output: Combine the outputs from Silo 1 and Silo 2 to create the final output of 10 plain text files with written content and 10 PNG image files.

SubAgent #3 - Diagram

Expand Flow

A) SUBAGENT SUMMARY: The PDF Generation Agent generates a well-formatted PDF file containing the ebook with a title page, table of contents, generated content for each section, and relevant images.

B) FINAL TASK OUTPUT: A well-formatted PDF file (8.5 x 11 inches, portrait orientation) containing the ebook with a title page, table of contents, the generated content for each of the 10 sections (approximately 1500-2000 words per section), and relevant images (one image per section, 1792x1024 pixels, inserted within the content). The PDF will have consistent formatting, typography, and style throughout, ensuring readability and visual appeal.

C) SUBAGENT INPUT:
- Plain text files containing the generated content for each of the 10 sections
- Relevant images for each section (1792x1024 pixels)
- Ebook title
- Author name

E) SUBAGENT TASK SUMMARY:
1. Input: Plain text files, images, ebook title, author name
2. Skill #227 - Format the content for each section into HTML, including headings, paragraphs, lists, and image placement
3. Skill #237 - Create a visually appealing title page using the ebook title, author name, and a relevant image
4. Skill #227 - Generate a table of contents with links to each section
5. Skill #220 - Concatenate the formatted section content, title page, and table of contents into a single HTML file
6. Skill #203 - Convert the final HTML file into a PDF document
7. Output: A well-formatted PDF file containing the complete ebook

F) SILOS:
Silo 1: Content Formatting
- Input: Plain text files for each section
- Skill #227 - Format the content for each section into HTML
- Output: HTML files for each section

Silo 2: Title Page and Table of Contents Creation
- Input: Ebook title, author name, relevant image
- Skill #237 - Create a visually appealing title page
- Skill #227 - Generate a table of contents with links to each section
- Output: HTML files for the title page and table of contents

Silo 3: PDF Generation
- Input: HTML files for each section, title page, and table of contents
- Skill #220 - Concatenate the HTML files into a single file
- Skill #203 - Convert the final HTML file into a PDF document
- Output: A well-formatted PDF file containing the complete ebook