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Step 1:
Amazon Best Seller Review Generator
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Sub Agent 1
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Sub Agent 8
A) SUBAGENT SUMMARY "AmazonScraper" crawls a single Amazon Best Sellers page, gathers ~5 products, and selects the highest-priced product among them. B) FINAL TASK OUTPUT A JSON/dict object containing: { "product_name": "...", "product_price": "...", "product_link": "...", "product_details": "..." } C) SUBAGENT INPUT {amazon-category-url} (the URL of the Amazon best sellers page for the chosen category). E) SUBAGENT TASK SUMMARY 1) Input → Skill #225 - Crawl 1x Amazon URL • INPUT: {amazon-category-url} plus the instruction: "Extract ~5 best sellers; provide product name, price, link, and brief details." • OUTPUT: A summarized list (in JSON or similar text format) of the ~5 best sellers. 2) Skill #223 - Powerful LLM Prompt-to-Text Response • INPUT: The summarized list from step 1 and a prompt requesting selection of the highest-priced product. • OUTPUT: JSON/dict with "product_name", "product_price", "product_link", "product_details". 3) SUBAGENT FINAL OUTPUT: [highest-priced-product-data] F) SILOS No additional silos are required. The two skills form a straightforward linear sequence, culminating in the highest-priced product data.
SubAgent #1 - Diagram
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A) SUBAGENT SUMMARY "ReviewSummarizer" takes the name (and basic info) of the highest-priced best-selling product and produces a concise written review by researching Google/YouTube sources and then condensing that research into a short, user-friendly write-up. B) FINAL TASK OUTPUT [short-product-review] → A concise text review (a few paragraphs) describing the product’s main features, pros, and cons. C) SUBAGENT INPUT [highest-priced-product-data] This is a JSON/dict containing (at minimum) the following keys: • "product_name" • "product_price" • "product_link" • "product_details" D) SUBAGENT FINAL OUTPUT [short-product-review] A short text review (string). E) SUBAGENT TASK SUMMARY Below is the step-by-step chain of skills that Subagent 2 performs to achieve its final output: 1) #216 - Research Topic (Or Keyword) Deeply — INPUT: The "product_name" from [highest-priced-product-data], with instructions to search for product reviews and feedback on Google and YouTube. — OUTPUT: A ~1–3 paragraph researched summary of pros, cons, notable features, etc. 2) #185 - Write Text (Or Copy) From Inputted Text — INPUT: The text output from Step 1, with instructions to produce a concise, user-friendly product review (simply recheck and condense as needed). — OUTPUT: The final short review text, [short-product-review]. F) SILOS • SILO 1: Gather Research - Use Skill #216 (Research Topic) with the product name. • SILO 2: Generate Final Review - Use Skill #185 (Write Text) to condense the research into a concise review. This completes the workflow for Subagent 2: "ReviewSummarizer."
SubAgent #2 - Diagram
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A) SUBAGENT SUMMARY This subagent (“ImageFinder”) locates and returns up to three relevant product image URLs based on the product name from the highest-priced Amazon product data. B) FINAL TASK OUTPUT [product-image-urls] (a list/array of up to three URLs of the most relevant product images) C) SUBAGENT INPUT [highest-priced-product-data] – the JSON/dict containing keys such as “product_name”, “product_price”, “product_link”, and “product_details”, all describing the chosen product. E) SUBAGENT TASK SUMMARY 1) From [highest-priced-product-data], identify the “product_name”. 2) Use #187 (Find Relevant Images with Brave Search) to gather 5 relevant image URLs for that product name. 3) Use #223 (Powerful LLM Prompt-to-Text Response) to filter those 5 URLs down to the top 3 URLs (or fewer, if fewer than 3 are genuinely relevant). 4) Return those up to three final image URLs as [product-image-urls]. F) SILOS • SILO 1: IMAGE SEARCH – Input: (product_name from [highest-priced-product-data]) – Action: #187 - Find Relevant Images with Brave Search – Output: List of 5 image URLs • SILO 2: FILTER IMAGES – Input: The 5 URLs from SILO 1 – Action: #223 - Powerful LLM Prompt-to-Text Response (instruct the model to select only the top 3 most relevant image URLs) – Output: Final [product-image-urls] (up to three URLs)
SubAgent #3 - Diagram
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A) SUBAGENT SUMMARY "HTMLComposer" takes the product info, review text, and image URLs, then outputs a single valid HTML file (as a string) ready for publication. B) FINAL TASK OUTPUT A single HTML file/string that includes: • The product name, link, and key details (from AmazonScraper) • The short review text (from ReviewSummarizer) • 1–3 embedded product images (from ImageFinder) C) SUBAGENT INPUT • [highest-priced-product-data] (JSON or dict with product_name, product_price, product_link, product_details) • [short-product-review] (string of review content) • [product-image-urls] (array/list of 1–3 image URLs) E) SUBAGENT TASK SUMMARY (Step-by-step Action Flow) 1) #185 - Write Text (Or Copy) From Inputted Text DESCRIPTION: Combine the provided product data, review text, and image URLs into a properly structured HTML document. INPUT: A short prompt/instruction that says, for example: “Use these inputs to create a final HTML review article: • Product Data: {{product_name, product_price, product_link, product_details}} • Review: {{short-product-review}} • Image URLs: {{product-image-urls}} Make sure to embed the images and include the product link as a hyperlink. Return the HTML as a string.” OUTPUT: A single HTML string that meets the final output requirements. F) SILOS For "HTMLComposer," there is only one skill/action in its silo. The subagent gathers all inputs and invokes skill #185 once to generate the final HTML.
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there is no subagent 5
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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.
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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
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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.
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.
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