Funny Birthday Cards

I want to build out a task that makes funny birthday cards for any niche. I would input a description of my niche audience or topic, and the final output would be a collection of completed images (in jpeg), with funny text and image. I think we could generate the image with any of our AI generators, eg Dalle, and provided we prompt something that looks hard drawn the end result would be good. But what we really want to spend time on is the writing of the puns for the card. These should be funny and relevant to the niche/topic in question. We would therefore want a series of prompts which researches the topic in question, looks for possible words and phrases that are relevant to the niche, and then generates a list of slogans for that niche. Then it's just a case of inserting the text and images into a layout. Before we start the whole process, we should probably search Google images (for "{niche topic} birthday cards") and see what current top-selling images in the niche look like, and then from there we can begin to grab some relevant niches.

Sub Agent #1 | Sub Agent #2 | Sub Agent #3

CLAUDE:- final-output-and-component-outputs

[final-output-and-component-outputs]

claude 3 - extract final output

The final output of this project would be a collection of digital birthday card images in JPEG format. Each card would feature an AI-generated, hand-drawn-style illustration along with a funny, niche-specific slogan or pun. The cards would be tailored to the user's input describing the target audience or topic, ensuring relevance and humor for the intended recipients.

extract component outputs

To achieve this final output, the project can be broken down into the following core components: 1. Niche/Topic Input: - A system to receive and process the user's input describing the niche audience or topic for the birthday cards. 2. Research and Analysis: - An AI component to search for and analyze relevant information about the specified niche or topic. - Sub-components to identify key words, phrases, and concepts related to the niche. - A sub-component to search Google Images for existing top-selling birthday cards in the niche to understand current market trends and design elements. - Output: A list of relevant keywords, phrases, and concepts associated with the given niche or topic, along with insights from existing niche-specific birthday cards. 3. Slogan Generation: - An AI-powered component utilizing natural language processing (NLP) techniques to generate a list of funny, relevant, and engaging slogans or puns based on the niche-specific words, phrases, and concepts identified during the research phase. - Output: A list of humorous slogans or puns tailored to the niche or topic. 4. Image Generation: - An AI image generation component (e.g., DALL-E, Midjourney, or Stable Diffusion) to create visually appealing, hand-drawn-style illustrations based on the niche and the generated slogans. - The image prompts should specify the desired hand-drawn style and incorporate relevant elements from the niche and slogans. - Output: AI-generated images in JPEG format that complement the text and align with the overall theme of the birthday card. 5. Card Layout and Design: - A component to define the layout and design of the birthday cards, including the placement of text and images. - This component would utilize pre-designed, customizable templates or a dynamic layout generation system. - Output: A structured layout template for the birthday cards, specifying font styles, sizes, and positions for the text and images. 6. Text and Image Integration: - A component to combine the generated slogans and images into the card layout template, ensuring proper alignment, scaling, and overall visual appeal. - Output: Completed birthday card designs in JPEG format, with the slogans and images properly positioned and formatted. 7. Output Generation: - A final component to generate the birthday card images in JPEG format with the desired resolution, file naming conventions, and any other necessary parameters. - Output: A collection of AI-generated, niche-specific birthday card images ready for distribution or further use. By following this structured workflow and leveraging AI technologies for research, slogan generation, image creation, and layout design, the AI agent can efficiently produce unique, humorous, and tailored birthday cards for any given niche or topic. The modular nature of the components allows for flexibility and refinement at each stage, ensuring high-quality output that meets the user's expectations.

Claude - research-ideas-and-input-variables

[researchideas-and-inputvariables]

GPT - research-ideas-and-input-variables

[researchideas-and-inputvariables-gpt]

template-ideas

[template-ideas]

claude 3 - searches

[searches]
[search-links-html]

subagent-summary

[subagent-summary]

subagent-summary-amended-for-actual-tasks

Based on the updated list of available tasks and the insights provided by the previous responses, I have formulated a comprehensive plan for creating AI-generated, niche-specific birthday cards with funny slogans and hand-drawn-style illustrations. The following subagents and their associated tasks will work together to transform the user input into the desired output: A) FULL TASK SUMMARY: Create AI-generated, niche-specific birthday cards with funny slogans and hand-drawn-style illustrations based on user input. B) FINAL TASK OUTPUT: A collection of AI-generated birthday card images in JPEG format, each measuring 1200x1800 pixels, featuring a hand-drawn-style illustration and a humorous, niche-specific slogan or pun. The output will be stored in a designated folder, with each image file named according to the niche and a unique identifier (e.g., "golf_birthday_card_001.jpg"). C) COMPONENTS OVERVIEW: 1. Niche Research and Analysis 2. Slogan Generation 3. Image Generation 4. Card Layout and Design 5. Text and Image Integration 6. Output Generation D) SUBAGENTS: SUBAGENT 1: Niche Researcher - Tasks: - Task 15 (Search Google): Search for broad niche keywords to understand the context and popular items or topics within the niche. - Task 19 (Search Google Images): Search for existing top-selling birthday cards in the niche to get an idea of current market offerings. - Task 21 (Find related keywords): Find related keywords for deepening the content and adding specific terms relevant to the niche or topic for slogan generation. - Final Output: A list of relevant keywords, phrases, and concepts associated with the given niche, along with insights from existing niche-specific birthday cards. SUBAGENT 2: Slogan Generator - Tasks: - Task 1 (GPT4): Generate puns and slogans using the niche keywords and related terms from the Niche Researcher as input for the language model to output witty and relevant slogans. - Task 2 (Prompt Generator): Refine the prompts for generating slogans to incorporate humor-specific techniques and enhance the comedic effect. - Final Output: A list of 10-20 humorous, niche-specific slogans or puns. SUBAGENT 3: Image Generator - Tasks: - Task 22 (Create square image with Dalle3) or Task 23 (Create rectangular image with Dalle3): Generate hand-drawn-style illustrations using AI image generation techniques, incorporating elements from the niche and slogans. The choice between square and rectangular formats will depend on the preferred aspect ratio of the birthday card images. - Task 28 (Make image transparent): Remove the background from the generated images if necessary for design purposes. - Final Output: AI-generated images in JPEG format that complement the slogans and align with the overall theme of the birthday card. SUBAGENT 4: Card Designer - Tasks: - API call to Bannerbear or similar service (REQUIRED): Input the generated images and text into predefined birthday card templates, allowing for dynamic text and image placement. The agent may need to define templates externally first. - Final Output: A structured layout template for the birthday cards, specifying font styles, sizes, and positions for the text and images. SUBAGENT 5: Card Assembler - Tasks: - Task 26 (Bannerbear - image creator): Combine the generated slogans and transparent images from the Image Generator into the predefined birthday card templates, specifying font styles, sizes, and alignment. - Final Output: Completed birthday card designs in JPEG format, with the slogans and images properly positioned and formatted according to the layout template. SUBAGENT 6: Output Generator - Tasks: - Custom API or task (REQUIRED): Batch process the individual birthday card images produced by the Card Assembler into the designated output folder, ensuring that each file is named according to the niche and a unique identifier. - Final Output: A collection of AI-generated, niche-specific birthday card images in JPEG format, stored in a designated folder with appropriate file names. If the required tasks for card layout and design (Subagent 4) and output generation (Subagent 6) are not available, a manual operation using graphic design software like Adobe Illustrator or Canva can be used as a substitute. However, this would be time-consuming and not fully automated. By utilizing these subagents and their associated tasks, the AI system can efficiently generate unique, humorous, and niche-specific birthday cards based on user input. The modular structure allows for flexibility and customization at each stage, ensuring high-quality results that meet the user's expectations. The card design and output generation steps may require the development of custom software tools or APIs to fully automate the process and achieve the desired outcome.

random-autocomplete

[random-autocomplete]

claude 3 - mermaid-for-all

<!DOCTYPE html> <html> <head> <title>Mermaid Diagram Example</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script> </head> <body> <div class="mermaid"> [mermaid-for-all] </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>

---

SubAgent #1

claude 3 - subagent1

[subagent1]

subagent1-refined

A) SUBAGENT SUMMARY: Niche Researcher conducts research on a specified niche/topic to gather relevant keywords, phrases, and concepts. B) FINAL TASK OUTPUT: A JSON string containing a list of 5-7 relevant keywords, phrases, and concepts related to the specified niche/topic. C) SUBAGENT INPUT: A text string (1-200 characters) describing the niche/topic to research. E) SUBAGENT TASK SUMMARY: 1. Accept the niche/topic description as a text input. 2. Use GPT-4 (Task 1) to generate a list of 3-5 search keywords related to the niche/topic. 3. For each search keyword: a. Search Google (Task 15) using the keyword. b. Save the search results as a text file on the server (Task 9). c. Use GPT-4 (Task 1) to analyze the search results and identify 1-2 key phrases, concepts, or themes relevant to the niche/topic. 4. Combine all the identified key phrases, concepts, and themes into a single list. 5. Use GPT-4 (Task 1) to refine the list, eliminating duplicates and selecting the 5-7 most relevant items. 6. Format the final list as a JSON string. 7. Output the JSON string containing the 5-7 relevant keywords, phrases, and concepts. F) SILOS: Silo 1: Keyword Generation - Input: Niche/topic description - Tasks: GPT-4 (Task 1) - Output: List of 3-5 search keywords Silo 2: Google Search and Analysis (repeated for each search keyword) - Input: Search keyword - Tasks: Search Google (Task 15), Save content to server (Task 9), GPT-4 (Task 1) - Output: 1-2 key phrases, concepts, or themes per search keyword Silo 3: List Refinement - Input: Combined list of key phrases, concepts, and themes - Tasks: GPT-4 (Task 1) - Output: Refined list of 5-7 relevant keywords, phrases, and concepts Silo 4: JSON Formatting - Input: Refined list of 5-7 relevant keywords, phrases, and concepts - Tasks: GPT-4 (Task 1) - Output: JSON string containing the final list

subagent1refined-repeating

G) FULL TASKS (INCLUDING REPEATING TASKS): 1. Accept the niche/topic description as a text input. 2. Use GPT-4 (Task 1) to generate a list of 3-5 search keywords related to the niche/topic. 3. For each search keyword (repeating tasks 4-7 for each keyword): 4. Search Google (Task 15) using the keyword. 5. Save the search results as a text file on the server (Task 9). 6. Use GPT-4 (Task 1) to analyze the search results and identify 1-2 key phrases, concepts, or themes relevant to the niche/topic. 7. Add the identified key phrases, concepts, and themes to a combined list. 8. Use GPT-4 (Task 1) to refine the combined list, eliminating duplicates and selecting the 5-7 most relevant items. 9. Format the final list as a JSON string using GPT-4 (Task 1). 10. Output the JSON string containing the 5-7 relevant keywords, phrases, and concepts. In this full task list, tasks 4-7 are repeated for each search keyword generated in task 2. The number of repetitions depends on the number of search keywords, which is between 3 and 5. This means that tasks 4-7 will be executed 3 to 5 times, once for each search keyword. The rest of the tasks (1, 2, 8, 9, and 10) are performed only once, as they are not part of the repeating process.

Subagent1 task-ID-numbers

[task-ID-numbers]

subagent1-output-variables

Here's the updated task list with the output tokens added: G) FULL TASKS (INCLUDING REPEATING TASKS): 1. Accept the niche/topic description as a text input. Output: [niche-topic] 2. Use GPT-4 (Task 1) to generate a list of 3-5 search keywords related to the niche/topic. Output: [search-keywords] 3. For each search keyword (repeating tasks 4-7 for each keyword): 4. Search Google (Task 15) using the keyword. Output: [search-results-keyword1], [search-results-keyword2], ... , [search-results-keyword5] 5. Save the search results as a text file on the server (Task 9). Output: [search-results-file-keyword1], [search-results-file-keyword2], ... , [search-results-file-keyword5] 6. Use GPT-4 (Task 1) to analyze the search results and identify 1-2 key phrases, concepts, or themes relevant to the niche/topic. Output: [key-phrases-keyword1], [key-phrases-keyword2], ... , [key-phrases-keyword5] 7. Add the identified key phrases, concepts, and themes to a combined list. Output: [combined-key-phrases-list] 8. Use GPT-4 (Task 1) to refine the combined list, eliminating duplicates and selecting the 5-7 most relevant items. Output: [refined-key-phrases-list] 9. Format the final list as a JSON string using GPT-4 (Task 1). Output: [json-key-phrases-list] 10. Output the JSON string containing the 5-7 relevant keywords, phrases, and concepts. Output: [final-output] H) OUTPUT TOKENS 1. [niche-topic] 2. [search-keywords] 3. [search-results-keyword1], [search-results-keyword2], ... , [search-results-keyword5] 4. [search-results-file-keyword1], [search-results-file-keyword2], ... , [search-results-file-keyword5] 5. [key-phrases-keyword1], [key-phrases-keyword2], ... , [key-phrases-keyword5] 6. [combined-key-phrases-list] 7. [refined-key-phrases-list] 8. [json-key-phrases-list] 9. [final-output] In this updated task list, the output tokens are clearly defined for each task. The tokens for the repeating tasks (4-7) are numbered according to the search keyword they correspond to. This numbering allows for easy reference and insertion of the output tokens into subsequent tasks within the agent's workflow.

subagent1refined-repeating-json-core

A) SUBAGENT SUMMARY: Keyword and concept extraction from niche/topic search results B) FINAL TASK OUTPUT: A JSON string containing 5-7 relevant keywords, phrases, and concepts related to the input niche/topic, extracted from Google search results C) SUBAGENT INPUT: A text description of the niche/topic for which to generate relevant keywords, phrases, and concepts E) SUBAGENT TASK SUMMARY: 1. Accept niche/topic description as text input 2. Generate 3-5 search keywords related to the niche/topic using GPT-4 3. For each search keyword: a. Search Google using the keyword b. Save search results as a text file c. Analyze search results with GPT-4 to identify 1-2 key phrases, concepts, or themes d. Add identified items to a combined list 4. Refine the combined list using GPT-4, selecting the 5-7 most relevant items 5. Format the final list as a JSON string using GPT-4 6. Output the JSON string containing the 5-7 relevant keywords, phrases, and concepts F) SILOS: None G) TASKFLOW SUMMARY: Task 1: Title task: Accept niche/topic description Description of the task: Receive a text input describing the niche or topic for which to generate relevant keywords, phrases, and concepts Input(s) involved: [niche_topic_description] Output token name: [niche_topic_description] Task 2: Title task: Generate search keywords Description of the task: Use GPT-4 to generate a list of 3-5 search keywords related to the input niche/topic description Input(s) involved: [niche_topic_description] Output token name: [search_keywords] Task 3: Title task: Search Google for each keyword Description of the task: For each search keyword generated in the previous task, perform a Google search and save the search results as a text file Input(s) involved: [search_keywords] Output token name: [search_results_text_files] Task 4: Title task: Analyze search results for key phrases and concepts Description of the task: Use GPT-4 to analyze each search result text file and identify 1-2 key phrases, concepts, or themes relevant to the niche/topic Input(s) involved: [search_results_text_files] Output token name: [key_phrases_concepts_themes] Task 5: Title task: Refine and select most relevant items Description of the task: Use GPT-4 to refine the combined list of key phrases, concepts, and themes, eliminating duplicates and selecting the 5-7 most relevant items Input(s) involved: [key_phrases_concepts_themes] Output token name: [refined_relevant_items] Task 6: Title task: Format final list as JSON string Description of the task: Use GPT-4 to format the final list of 5-7 relevant keywords, phrases, and concepts as a JSON string Input(s) involved: [refined_relevant_items] Output token name: [json_output] Task 7: Title task: Output JSON string Description of the task: Output the JSON string containing the 5-7 relevant keywords, phrases, and concepts related to the input niche/topic Input(s) involved: [json_output] Output token name: [json_output]

subagent1mermaid

<!DOCTYPE html> <html> <head> <title>Mermaid Diagram Example</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script> </head> <body> <div class="mermaid"> graph TD A[Accept niche/topic description] -->|niche_topic_description| B[Generate search keywords] B -->|search_keywords| C[Search Google for each keyword] C -->|search_results_text_files| D[Analyze search results for key phrases and concepts] D -->|key_phrases_concepts_themes| E[Refine and select most relevant items] E -->|refined_relevant_items| F[Format final list as JSON string] F -->|json_output| G[Output JSON string] </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>

---

SubAgent #2

claude 3 - subagent2

[subagent2]

subagent2-refined

[subagent2-refined]

subagent2refined-repeating

[subagent2refined-repeating]

Subagent2 task-ID-numbers

[task-ID-numbers2]

subagent2-output-variables

[subagent2-output-variables]

subagent2refined-repeating-json-core

[subagent2refined-repeating-json-core]

subagent2mermaid

<!DOCTYPE html> <html> <head> <title>Mermaid Diagram Example</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script> </head> <body> <div class="mermaid"> [subagent2mermaid] </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>

---

SubAgent #3

claude 3 - subagent3

[subagent3]

subagent1-refined

[subagent3-refined]

subagent1refined-repeating

[subagent3refined-repeating]

Subagent1 task-ID-numbers3

[task-ID-numbers3]

subagent3-output-variables

[subagent3-output-variables]

subagent3refined-repeating-json-core

[subagent3refined-repeating-json-core]

subagent3mermaid

<!DOCTYPE html> <html> <head> <title>Mermaid Diagram Example</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script> </head> <body> <div class="mermaid"> [subagent3mermaid] </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>

prompts-required

Based on the provided components for the AI-generated birthday card workflow, the following unique prompts will be required: Task: Niche/Topic Analysis Output of the task: A list of relevant keywords, phrases, and concepts associated with the given niche or topic, along with insights from existing niche-specific birthday cards. Description: Given the user's input describing the niche audience or topic, generate a prompt that instructs the LLM to search for and analyze relevant information about the specified niche or topic. The prompt should guide the LLM to identify key words, phrases, and concepts related to the niche, as well as search Google Images for existing top-selling birthday cards in the niche to understand current market trends and design elements. The output should be a comprehensive list of relevant keywords, phrases, and concepts, along with insights gathered from the analysis of existing niche-specific birthday cards. Task: Slogan Generation Output of the task: A list of humorous slogans or puns tailored to the niche or topic. Description: Using the list of relevant keywords, phrases, and concepts from the Niche/Topic Analysis task, create a prompt that instructs the LLM to generate a list of funny, relevant, and engaging slogans or puns. The prompt should emphasize the importance of incorporating the niche-specific elements and humor that resonates with the target audience. The output should be a diverse set of creative and witty slogans or puns that effectively capture the essence of the niche or topic. Task: Image Generation Prompts Output of the task: Detailed image generation prompts for creating visually appealing, hand-drawn-style illustrations based on the niche and the generated slogans. Description: Develop a prompt that guides the LLM in crafting detailed image generation prompts for AI image generation tools (e.g., DALL-E, Midjourney, or Stable Diffusion). The prompt should instruct the LLM to create image prompts that specify the desired hand-drawn style and incorporate relevant elements from the niche and generated slogans. The output should be a set of well-structured, descriptive image prompts that will yield visually appealing and thematically consistent illustrations for the birthday cards. Task: Card Layout and Design Specification Output of the task: A structured layout template for the birthday cards, specifying font styles, sizes, and positions for the text and images. Description: Create a prompt that directs the LLM to generate a detailed specification for the layout and design of the birthday cards. The prompt should guide the LLM in defining the placement of text and images, as well as specifying font styles, sizes, and any other relevant design elements. The output should be a clear and structured template that can be easily implemented in the subsequent Text and Image Integration task. These unique prompts will enable the AI agent to generate the necessary components for creating personalized, humorous birthday cards tailored to specific niches or topics. By carefully crafting each prompt to elicit the desired output from the LLM, the overall workflow will be more efficient and effective in achieving the final goal of producing high-quality, AI-generated birthday cards.

subagent1-json-array

[ { "taskID": 1, "semanticTitleOfTask": "Accept niche/topic description", "taskDescription": "Receive a text input describing the niche or topic for which to generate relevant keywords, phrases, and concepts", "inputDescription": "A text description of the niche/topic for which to generate relevant keywords, phrases, and concepts", "inputRequired": [], "outputDescription": "The text description of the niche/topic", "outputName": "niche_topic_description", "promptInstruction": "" }, { "taskID": 2, "semanticTitleOfTask": "Generate search keywords", "taskDescription": "Use GPT-4 to generate a list of 3-5 search keywords related to the input niche/topic description", "inputDescription": "The text description of the niche/topic from the previous task", "inputRequired": ["niche_topic_description"], "outputDescription": "A list of 3-5 search keywords related to the input niche/topic", "outputName": "search_keywords", "promptInstruction": "Generate a list of 3-5 search keywords related to the following niche/topic description: [niche_topic_description]" }, { "taskID": 3, "semanticTitleOfTask": "Search Google for each keyword", "taskDescription": "For each search keyword generated in the previous task, perform a Google search and save the search results as a text file", "inputDescription": "The list of 3-5 search keywords generated in the previous task", "inputRequired": ["search_keywords"], "outputDescription": "Text files containing the search results for each keyword", "outputName": "search_results_text_files", "promptInstruction": "" }, { "taskID": 4, "semanticTitleOfTask": "Analyze search results for key phrases and concepts", "taskDescription": "Use GPT-4 to analyze each search result text file and identify 1-2 key phrases, concepts, or themes relevant to the niche/topic", "inputDescription": "The text files containing the search results for each keyword from the previous task", "inputRequired": ["search_results_text_files"], "outputDescription": "A list of 1-2 key phrases, concepts, or themes relevant to the niche/topic for each search result text file", "outputName": "key_phrases_concepts_themes", "promptInstruction": "Analyze the following search result text and identify 1-2 key phrases, concepts, or themes relevant to the niche/topic: [search_result_text]" }, { "taskID": 5, "semanticTitleOfTask": "Refine and select most relevant items", "taskDescription": "Use GPT-4 to refine the combined list of key phrases, concepts, and themes, eliminating duplicates and selecting the 5-7 most relevant items", "inputDescription": "The combined list of key phrases, concepts, and themes from the previous task", "inputRequired": ["key_phrases_concepts_themes"], "outputDescription": "A refined list of the 5-7 most relevant keywords, phrases, and concepts related to the input niche/topic", "outputName": "refined_relevant_items", "promptInstruction": "Refine the following list of key phrases, concepts, and themes, eliminating duplicates and selecting the 5-7 most relevant items: [key_phrases_concepts_themes]" }, { "taskID": 6, "semanticTitleOfTask": "Format final list as JSON string", "taskDescription": "Use GPT-4 to format the final list of 5-7 relevant keywords, phrases, and concepts as a JSON string", "inputDescription": "The refined list of the 5-7 most relevant keywords, phrases, and concepts from the previous task", "inputRequired": ["refined_relevant_items"], "outputDescription": "A JSON string containing the 5-7 relevant keywords, phrases, and concepts related to the input niche/topic", "outputName": "json_output", "promptInstruction": "Format the following list of keywords, phrases, and concepts as a JSON string: [refined_relevant_items]" }, { "taskID": 7, "semanticTitleOfTask": "Output JSON string", "taskDescription": "Output the JSON string containing the 5-7 relevant keywords, phrases, and concepts related to the input niche/topic", "inputDescription": "The JSON string containing the 5-7 relevant keywords, phrases, and concepts from the previous task", "inputRequired": ["json_output"], "outputDescription": "The final JSON string containing the 5-7 relevant keywords, phrases, and concepts related to the input niche/topic", "outputName": "json_output", "promptInstruction": "" } ]

subagent1-json-array-mermaid

<!DOCTYPE html> <html> <head> <title>Mermaid Diagram Example</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script> </head> <body> <div class="mermaid"> graph TD A[Accept niche/topic description] --> B[Generate search keywords] B --> C[Search Google for each keyword] C --> D[Analyze search results for key phrases and concepts] D --> E[Refine and select most relevant items] E --> F[Format final list as JSON string] F --> G[Output JSON string] </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>

subagent2-json-array

[subagent2-json-array]

subagent2-json-array-mermaid

<!DOCTYPE html> <html> <head> <title>Mermaid Diagram Example</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script> </head> <body> <div class="mermaid"> [subagent2-json-array-mermaid] </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>