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Sub Agent 1
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A) SUBAGENT SUMMARY: The Niche Researcher subagent 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. Input: Receive the niche/topic description as a text string. 2. Action 1: Search Google (Task 15) for the niche/topic description. - Input: The niche/topic description text string. - Output: A text summary of the Google SERP results, with position/title/snippet of the first 20 URLs for the niche/topic. 3. Action 2: GPT4 (Task 1) to analyze the Google SERP results and identify relevant keywords, phrases, and concepts. - Input: The text summary of the Google SERP results from Action 1. - Output: A list of 10-15 relevant keywords, phrases, and concepts extracted from the SERP results. 4. Action 3: GPT4 (Task 1) to refine and prioritize the list of keywords, phrases, and concepts. - Input: The list of 10-15 relevant keywords, phrases, and concepts from Action 2. - Output: A refined list of the top 5-7 most relevant and important keywords, phrases, and concepts related to the niche/topic. 5. Action 4: GPT4 (Task 1) to format the final list of keywords, phrases, and concepts as a JSON string. - Input: The refined list of 5-7 keywords, phrases, and concepts from Action 3. - Output: A JSON string containing the list of 5-7 relevant keywords, phrases, and concepts. 6. Output: Return the JSON string as the final output of the Niche Researcher subagent. F) SILOS: This subagent does not require silos as the tasks are performed sequentially without the need for parallel processing or multiple instances.
SubAgent #1 - Diagram
Expand Diagram
A) SUBAGENT SUMMARY: The Slogan Generator subagent generates 3 humorous, niche-specific slogans or puns based on the provided niche research data and relevant keywords/phrases. B) FINAL TASK OUTPUT: A JSON object containing an array of 3 strings, each representing a humorous, niche-specific slogan or pun tailored to the specified niche/topic. The slogans should be between 5-20 words each. C) SUBAGENT INPUT: - A JSON object containing an array of 5-7 relevant keywords, phrases, and concepts related to the specified niche/topic, obtained from the Niche Researcher subagent. E) SUBAGENT TASK SUMMARY: 1. Input: Receive the JSON object containing the niche research data from the Niche Researcher subagent. 2. GPT4 (Task 1): Analyze the niche research data to identify key themes, concepts, and potential wordplay opportunities. 3. GPT4 (Task 1): Generate a list of 10 potential slogans or puns based on the niche research data, incorporating the identified themes, concepts, and wordplay opportunities. 4. GPT4 (Task 1): Evaluate and rank the generated slogans based on their humor, relevance to the niche, and overall effectiveness. 5. GPT4 (Task 1): Select the top 3 slogans from the ranked list. 6. GPT4 (Task 1): Format the selected slogans into a JSON object containing an array of 3 strings. 7. Output: Return the JSON object containing the 3 humorous, niche-specific slogans. F) SILOS: This subagent does not require silos as it can be completed in a single sequence of tasks using the GPT4 (Task 1) for all the necessary steps.
SubAgent #2 - Diagram
Expand Diagram
A) SUBAGENT SUMMARY: The Image Generator subagent creates 3 AI-generated illustrations in JPEG format that resemble hand-drawn birthday card images relevant to the specified niche/topic. B) FINAL TASK OUTPUT: 3 AI-generated illustrations in JPEG format, each measuring 1792x1024 pixels. The images should be visually appealing and resemble hand-drawn birthday card illustrations relevant to the specified niche/topic. C) SUBAGENT INPUT: - A list of 5-7 relevant keywords, phrases, and concepts related to the specified niche/topic, generated by the Niche Researcher subagent. E) SUBAGENT TASK SUMMARY: 1. Input: Receive the list of relevant keywords, phrases, and concepts from the Niche Researcher subagent. 2. Action 1: Use GPT-4 (Task 1) to analyze the input and generate 3 unique text prompts for the AI image generator. Each prompt should incorporate the relevant keywords, phrases, and concepts, and describe a visually appealing, hand-drawn style birthday card illustration specific to the niche/topic. 3. Action 2: Pass each of the 3 text prompts individually to the Create rectangular image with Dalle3 (Task 23) to generate 3 separate AI illustrations. 4. Action 3: Save each of the 3 generated illustrations to the server using the Save content to server (Task 9), specifying the file format as JPEG and the dimensions as 1792x1024 pixels. 5. Output: Return the server URLs of the 3 saved AI-generated illustrations in JPEG format. F) SILOS: Silo 1: - Input: Receive the list of relevant keywords, phrases, and concepts from the Niche Researcher subagent. - Action 1: Use GPT-4 (Task 1) to analyze the input and generate 3 unique text prompts for the AI image generator. - Output: 3 text prompts for AI image generation. Silo 2: - Input: Text prompt 1 from Silo 1. - Action 2: Pass the text prompt to the Create rectangular image with Dalle3 (Task 23) to generate an AI illustration. - Action 3: Save the generated illustration to the server using the Save content to server (Task 9), specifying the file format as JPEG and the dimensions as 1792x1024 pixels. - Output: Server URL of the saved AI-generated illustration 1. Silo 3: - Input: Text prompt 2 from Silo 1. - Action 2: Pass the text prompt to the Create rectangular image with Dalle3 (Task 23) to generate an AI illustration. - Action 3: Save the generated illustration to the server using the Save content to server (Task 9), specifying the file format as JPEG and the dimensions as 1792x1024 pixels. - Output: Server URL of the saved AI-generated illustration 2. Silo 4: - Input: Text prompt 3 from Silo 1. - Action 2: Pass the text prompt to the Create rectangular image with Dalle3 (Task 23) to generate an AI illustration. - Action 3: Save the generated illustration to the server using the Save content to server (Task 9), specifying the file format as JPEG and the dimensions as 1792x1024 pixels. - Output: Server URL of the saved AI-generated illustration 3.
SubAgent #3 - Diagram
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A) SUBAGENT SUMMARY: The Card Composer subagent combines AI-generated illustrations and humorous slogans into a predefined layout template to create birthday card designs. B) FINAL TASK OUTPUT: 9 composed birthday card designs saved as high-quality JPEG images on the internal server, each measuring 1200x1800 pixels. C) SUBAGENT INPUT: - 3 AI-generated illustrations in JPEG format - 3 humorous slogans or puns tailored to the specified niche/topic - A predefined birthday card layout template E) SUBAGENT TASK SUMMARY: 1. Receive the 3 AI-generated illustrations and 3 humorous slogans as input. 2. Use GPT-4 (Task 1) to generate a JSON template for the Bannerbear image creator (Task 26), specifying the layout and placeholders for the illustrations and slogans. 3. Use the Bannerbear image creator (Task 26) to compose the birthday card designs by inserting the AI-generated illustrations and slogans into the predefined layout template. This task will be performed 9 times, once for each combination of illustration and slogan. 4. Save the composed birthday card designs as image files on the internal server using the "Save content to server" task (Task 9). 5. Use the "Resize image" task (Task 27) to resize the composed birthday card designs to the desired dimensions of 1200x1800 pixels. 6. Save the resized birthday card images as high-quality JPEG files on the internal server using the "Save content to server" task (Task 9). F) SILOS: Silo 1: Card Composition - Receive 3 AI-generated illustrations and 3 humorous slogans as input. - Use GPT-4 (Task 1) to generate a JSON template for the Bannerbear image creator (Task 26). - Use the Bannerbear image creator (Task 26) to compose the 9 birthday card designs. - Save the composed birthday card designs as image files on the internal server using the "Save content to server" task (Task 9). Silo 2: Image Resizing - Use the "Resize image" task (Task 27) to resize the 9 composed birthday card designs to 1200x1800 pixels. - Save the resized birthday card images as high-quality JPEG files on the internal server using the "Save content to server" task (Task 9).
4 Template & Links
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A) SUBAGENT SUMMARY: The Image Upscaler subagent upscales the composed birthday card designs to higher resolution and saves them as high-quality JPEG images on the internal server. B) FINAL TASK OUTPUT: 9 high-quality JPEG images, each measuring 2400x3600 pixels, representing the upscaled versions of the composed birthday card designs. C) SUBAGENT INPUT: - 9 URLs of the composed birthday card designs saved on the internal server (outputs from the Card Composer subagent) D) SUBAGENT TASK SUMMARY: 1. Receive the 9 URLs of the composed birthday card designs from the Card Composer subagent. 2. For each of the 9 URLs: a. Call the "Resize image" task (Task 58) with the following inputs: - URL of the composed birthday card design - Target dimensions: 2400x3600 pixels b. Call the "Save content to server" task (Task 9) with the following inputs: - Content: The upscaled birthday card image (output from Task 58) - File extension: .jpg c. Store the URL of the saved upscaled image. 3. Return the 9 URLs of the upscaled birthday card images as the final output of the subagent. E) SILOS: This subagent does not require silos as it performs the same set of tasks (resizing and saving) for each of the 9 composed birthday card designs sequentially. Detailed Workflow: 1. Receive 9 URLs of the composed birthday card designs from the Card Composer subagent. 2. Initialize an empty list to store the URLs of the upscaled images. 3. For each URL in the input list: a. Call Task 58 (Resize image): - Input: URL of the composed birthday card design, target dimensions (2400x3600 pixels) - Output: URL of the upscaled image b. Call Task 9 (Save content to server): - Input: Content (upscaled image from Task 58), file extension (.jpg) - Output: URL of the saved upscaled image on the internal server c. Append the URL of the saved upscaled image to the list. 4. Return the list containing the 9 URLs of the upscaled birthday card images as the final output of the subagent.
5 Template & Links
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A) SUBAGENT SUMMARY: The Output File Handler subagent resizes and saves the 9 composed birthday card designs as high-quality JPEG images on the internal server. B) FINAL TASK OUTPUT: 9 high-quality JPEG images, each measuring 1200x1800 pixels, representing the final birthday card designs. The images will be saved on the internal server. C) SUBAGENT INPUT: - 9 image URLs of the composed birthday card designs, stored on the internal server. E) SUBAGENT TASK SUMMARY: The Output File Handler subagent will perform the following tasks for each of the 9 composed birthday card designs: 1. Access the image file from the internal server using the provided URL. 2. Resize the image to the desired dimensions of 1200x1800 pixels using the Resize image (Task 27) task. 3. Save the resized image as a high-quality JPEG file on the internal server using the Save content to server (Task 9) task. 4. Repeat steps 1-3 for all 9 composed birthday card designs. The specific task chain for each image will be: Composed birthday card design URL > Resize image (Task 27) > Save content to server (Task 9) > Resized birthday card design URL F) SILOS: This subagent will process the 9 composed birthday card designs in parallel silos to optimize the workflow. Each silo will handle one composed birthday card design and will follow the same task chain: Silo 1: Composed birthday card design URL 1 > Resize image (Task 27) > Save content to server (Task 9) > Resized birthday card design URL 1 Silo 2: Composed birthday card design URL 2 > Resize image (Task 27) > Save content to server (Task 9) > Resized birthday card design URL 2 ... Silo 9: Composed birthday card design URL 9 > Resize image (Task 27) > Save content to server (Task 9) > Resized birthday card design URL 9 The final output of the Output File Handler subagent will be the 9 URLs of the resized and saved birthday card designs, ready for use or distribution.
6 Template & Links
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Templates & Links Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
7 Template & Links
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Questions & Research Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
8 Template & Links
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Templates & Links Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
9 Template & Links
Expand Flow
Templates & Links Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
10 Template & Links
Expand Flow
Questions & Research Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
11 Template & Links
Expand Flow
Templates & Links Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
12 Template & Links
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