⭐ 10 GPTs Released: Links found below under each respective section.
⭐ Important: Please read the full instructions and notes before diving into a GPT. These are complex tools with streamlined control. Ensure documents are proper file type for RAG. If you hit the hard timeout, refresh and enter !continue to re-establish workflow.
⭐ Join Nerority's Discord: For feedback, suggestions, discussion, curated information and more. Please feel free to join the discord channel and interact. This is a new channel but it will be used as the communication base for future GPT development.
Discord Link: Nerority Discord
Hi my name is Devin. I specialize in engineering advanced generative AI workflows that leverage meta-functionality control. I have been mastering prompt engineering as a hobby for a long time now, and am able to design GPT's to do pretty much anything.
- Did you know you can perfectly control >5 minutes of AI tool chaining with >30 different tool calls in the same response, with 100% accuracy?
- Or that you can have ChatGPT generate >10 DallE-3 Images in a single response, with perfect control?
- How about about having ChatGPT search a document with RAG, plan a tailored search strategy for that document in the python tool, execute a loop of sequentual in-depth RAG searches that synthesize their results in the python tool, plan broswer tool search queuries to align the distilled knowledge with real-time information, execute searches with the browser tool, synthesize the results in the python tool, compile all findings into a coherant report, and then present the user with the report, all in the same single response?
Yes, that has been possible to do with ChatGPT alone. The tool timeout threshold of 60 seconds, resets with each new tool call, allowing highly complex responses if you know how.
Want me to build your dream GPT? Get in touch.
Contact: [email protected]
Site: nerority.com
- Automated Infinite Visual Progression
- Automated DALL-E Prompt Variation Testing
- Botanical Growth Cycle Visualizer
GPT Public Link: Access GPT Here
This GPT is an exciting innovation in the world of AI-driven visual creativity. Originally born as a slight meme, it has evolved into a robust tool that allows users to embark on an endless journey of visual progression. This GPT facilitates the generation of a series of images, each evolving based on user-defined parameters, such as dimension, direction, and progression rate.
Utilize this GPT to explore the realms of endless visual possibilities. Start by defining the base image and the desired progression parameters. The GPT will generate a series of images, each iterating on the previous one according to your specifications. This tool is perfect for artists, designers, or anyone looking to explore a dynamic visual narrative.
Input Explanations
- Base Image Description: This should be a description of whatever aspects of the image you want to remain static. (E.g. normal image descriptions here)
- Dimension: The aspect of the image that you want to progress over time. (E.g. Size, Gradually Taking over the World, Woman holding an increasing amount of bags, etc.)
- Direction: The direction of the progression. (E.g. increasing, decreasing, etc. You can be creative here or keep it simple.)
- Starting Point: This allows you to control the exact starting point of the progression. (E.g. If your base description is a man, your dimension is strength increasing, for the starting point you could set something like weak, or even strong to begin from that point)
- Rate: This allows you to control the speed of the progression. (E.g. Slow, medium, fast, etc. Can be creative.)
Initial Commands
THESE COMMANDS START NEW INFINITE PROGRESSIONS, PICK ONE AND START
!start [description of base image, aspect to progress]- Easy start for new progression!advStart [base image description, dimension, direction, starting point, rate]- Initiates the refined progression.!demo- Demonstrates the tool using an example progression.!commands- Displays a detailed command menu for user guidance.
Follow-up Commands
THESE COMMANDS ARE USED TO FINE-TUNE THE ACTIVE PROGRESSION. USE/STACK AS DESIRED OR SIMPLY HIT N AND SIT BACK.
!addDimension [dimension, direction, starting point, progression rate]: Adds a new dimension to the progression.!removeDimension [dimension]: Removes an existing dimension.!invertDirection [dimension]: Inverts the progression direction in a specified dimension.!adjustRate [dimension, new rate]: Modifies the progression rate.!updateBase [new base context]: Updates the base image for subsequent progressions.N: Proceeds to the next set of five progressions.
sequenceDiagram
participant User
participant ChatGPT
participant DallE as DALL-E
User->>ChatGPT: Inputs Commands
ChatGPT->>DallE: Initial Image Generation
DallE-->>ChatGPT: Initial Image
loop Progressive Visualization Loops
ChatGPT->>DallE: Progress Image in Specified Dimensions
DallE-->>ChatGPT: Progressed Image
end
ChatGPT-->>ChatGPT: Compile Progression Status
ChatGPT->>User: Displays Current Progression Status Menu
ChatGPT->>User: Presents User Command Menu
User->>ChatGPT: Inputs Next Commands
Note over ChatGPT: Resource Management and Continuation Setup
GPT Public Link: Access GPT Here
In today's highly competitive job market, standing out is more crucial than ever. This GPT, a masterpiece of my creation, tackles this challenge head-on. It's an advanced AI-driven tool that automates the intricate process of building a detailed career profile, optimizing resumes, and tailoring them for specific job roles. Leveraging the latest in AI, it analyzes market trends and job requirements, ensuring that your resume not only shines but also aligns perfectly with current market demands.
I know full well how frustrating applying for jobs can be for the average person in the current day. With the level of expected tailoring and ATS systems to deal with, it can be a full-time job and more on its own. This was intended from the start to shake things up once and for all.
Make me proud 😎
This tool is a godsend for job seekers and professionals looking to give their careers a boost. Simply provide your career-related documents, and watch as the AI transforms them into a polished, market-aligned profile and a tailored resume. It's particularly adept at distilling complex career histories into compelling narratives that resonate with recruiters.
After the first phase is complete, you should enter C and allow the workflow to finish the 2nd phase. After the final resume is saved, you can use the next steps for automated quality tailoring for any position. Simply feed the description in and the comprehensive context is pre-framed for high-quality tailoring.
!start- Initiates the advanced workflow using your uploaded career documents.!demo- Demonstrates the tool's capabilities using synthesized data.C- Resumes the workflow from the last saved checkpoint, a handy feature considering the depth of analysis involved.G- Generates the refined resume with elegant markdown formatting.!tailor [job description]- Performs tailored resume optimization based on a job description you provide. Feed the tool a job description, and it will craft a resume that speaks directly to that role's needs.
- ENSURE the uploaded document shows DOCUMENT, and NOT PDF. This workflow requires RAG to operate correctly and currently only a small amount of PDFs actually work properly with RAG.
- If the workflow starts with a call to the python tool instead of a RAG search, thats how you know that PDF is unable to be vectorized or searched with RAG and this workflow will NOT work in that case. Doc and txt files work perfectly, you can use Adobe Acrobat to covert any pdf to a doc in about 3 seconds total.
sequenceDiagram
participant User
participant ChatGPT
participant PythonTool as Python Tool
participant RAG as RAG Search
participant Browser as Browser Tool
User->>ChatGPT: Uploads Career Documents
ChatGPT->>RAG: Initial Comprehensive Profile Analysis
RAG-->>PythonTool: Extracted Career Information
PythonTool->>PythonTool: Profile Knowledge Distillation
PythonTool-->>ChatGPT: High-Level Profile
ChatGPT->>RAG: Detailed Experience Analysis
RAG-->>PythonTool: Search Results
PythonTool->>PythonTool: Detailed Experience Mapping
PythonTool-->>ChatGPT: Updated Profile
ChatGPT->>RAG: Comprehensive Skills Analysis
RAG-->>PythonTool: Search Results
PythonTool->>PythonTool: Detailed Skill Mapping
PythonTool->>PythonTool: Final Profile Synthesis, Save File
PythonTool-->>ChatGPT: Save Link
ChatGPT->>User: Present Link and Commands
note over User, ChatGPT: Pause for User Review
User->>ChatGPT: Resumes with 'C'
ChatGPT->>Browser: Job Market Research
Browser-->>PythonTool: Job Listings and Requirements
PythonTool->>PythonTool: Market Trend Synthesis
PythonTool-->>ChatGPT: Tailoring Strategy
ChatGPT->>PythonTool: Resume Crafting
PythonTool->>PythonTool: Save and Format Resume
PythonTool-->>ChatGPT: Save File
ChatGPT->>User: Presents Optimized Resume
note over User, ChatGPT: Resume Tailoring
note over User, ChatGPT: Use this step as a Repeatable Input
User->>ChatGPT: Start Tailoring with "!tailor [job desc]"
GPT Public Link: Access GPT Here
In the realm of information overload, the ability to swiftly and accurately dissect complex documents is more vital than ever. This GPT transcends the current barriers of RAG-based document analysis. This tool is not just a mere summarizer; it's an in-depth analyzer, capable of understanding and articulating the nuances of extensive documents by exploiting a complex tool chain. Designed for those who grapple with the daunting task of digesting lengthy reports, legal documents, or scholarly articles, this AI assistant ensures that no critical information slips through the cracks.
Required Input: User-Uploaded Document
This GPT is engineered for scenarios requiring a deep dive into complex documents. Whether it's a lawyer analyzing legal texts, an academic researcher sifting through dense papers, or a business professional evaluating comprehensive reports, this tool stands as an indispensable ally. It excels in providing a clear, concise, and accurate summary of even the most intricate documents, transforming hours of reading into minutes of insightful comprehension.
Works best for documents with coherent structure, and will dive into each section of importance for a granular and comprehensive understanding. Due to the complexity of this workflow, it can take multiple full responses to finish for complex documents. For more efficient or strategic workflows there are GPTs later in this portfolio tailored for that purpose.
!start- Initiates workflow based on user uploaded document.!demo- Demonstrates the workflow with synthesized data!continue- Continue the automated workflow.G- Synthesize the final report outside of the python tool with well-formatted markdownR- Restart the analysis with a new document.E- End the current analysis session.
- ENSURE the uploaded document shows DOCUMENT, and NOT PDF. This workflow requires RAG to operate correctly and currently only a small amount of PDFs actually work properly with RAG.
- If the workflow starts with a call to the python tool instead of a RAG search, thats how you know that PDF is unable to be vectorized or searched with RAG and this workflow will NOT work in that case. Doc and txt files work perfectly, you can use Adobe Acrobat to covert any pdf to a doc in about 3 seconds total.
sequenceDiagram
participant User
participant ChatGPT
participant RAG as RAG Search
participant PythonTool as Python Tool
User->>ChatGPT: Uploads Document
ChatGPT->>RAG: Initial Holistic Document Analysis
RAG-->>PythonTool: Extracted Core Concepts
PythonTool->>PythonTool: Develops TOC and Analysis Strategy
PythonTool-->>ChatGPT: Outlines Document Structure
loop Detailed Section Analysis
ChatGPT->>RAG: Delve into Specific Sections
RAG-->>PythonTool: Detailed Insights
PythonTool->>PythonTool: Synthesize Insights
end
PythonTool-->>ChatGPT: Compile and Synthesize Comprehensive Report
ChatGPT->>User: Present Final Report and Analysis
GPT Public Link: Access GPT Here
In the realm of creative AI applications, this GPT shines as an essential tool. It's engineered to unlock the full potential of DALL-E's image generation prowess through systematic prompt variation testing. This GPT automates the process of ideation and prompt refinement, enabling users to explore an expansive array of visual possibilities swiftly and efficiently. This should be an asset for artists, designers, and anyone looking to push the boundaries of AI-assisted visual creation.
To harness this tool's capabilities, users simply need to input a base idea or image concept. The GPT then intelligently generates multiple DALL-E prompts, each designed to explore different facets or interpretations of the initial idea. The result is a collection of diverse images, providing a visual brainstorming session that can inspire further creative exploration or be used to refine the concept to its most effective visual representation.
!start [description]: Kickstarts the workflow with a user-defined description of the desired image.!demo: Runs a demonstration using AI-synthesized data, showcasing the tool's capabilities.1-5: Selects the preferred image from the generated batch, facilitating focused refinement or further exploration based on the chosen prompt.
sequenceDiagram
participant User
participant ChatGPT
participant PythonTool as Python Tool
participant DallE as DALL-E
User->>ChatGPT: Initiates with !start [description]
ChatGPT->>PythonTool: Generates 5 Unique Prompts
loop Image Generation Loop
PythonTool->>DallE: Requests Image Generation for Each Prompt
DallE-->>ChatGPT: Returns Generated Images
end
ChatGPT->>User: Presents Images and User Command Options
loop User Feedback Interaction
User->>ChatGPT: Selects Preferred Image or Inputs Other Commands
ChatGPT->>PythonTool: Refines or Expands on Selected Prompt
end
GPT Public Link: Access GPT Here
This GPT is a cutting-edge prompt engineering tool designed for the advanced synthesis and refinement of meta-prompts. Meta-prompts are complex prompts that serve as high-level instructions for AI models, guiding them towards achieving specific goals or tasks. This tool excels in transforming vague or abstract ideas into clear, actionable, and optimized meta-prompts, enhancing the efficiency and effectiveness of AI interactions. After completion of the synthesis workflow, users can easily initiate an experimentation and testing loop where different versions are tested, or initiate a refinement workflow based on their feedback.
This GPT exists as the culmination of my prompt engineering expertise with the GPT line, and is designed to produce extremely precise "system prompts" based on any given prompt or idea. You will not find a better prompt engineering workflow around that actually works to produce better prompts. I will probably regret putting this one out. The large majority of users will not understand the point of this workflow or think this is a meme, yet the ones who know how to leverage this type of tool will appreciate the effort that went into making this. Remember, prompt engineering isn't worth learning 🤭🤭
To utilize this GPT, users can start with a basic idea or a prompt they wish to explore. The tool then employs a series of steps to expand, refine, and optimize the initial input into a detailed and actionable meta-prompt. Users can experiment with variations, refine based on feedback, or use a demonstration mode to understand the GPT's capabilities.
This GPT is intended for the SYNTHESIS and REFINEMENT of Complex System Prompts, and thus is geared more for designers and developers compared to everyday users... For the refinement of everyday "task prompts", the next GPT is tailored specifically for that purpose.
GPT can perfectly understand and execute JSON prompts, often times resulting in improved results compared to markdown syntax for complex tasks. JSON is easily convertable to Markdown which is the offical syntax for GPT prompts and what it is fine-tuned for. Markdown is the correct and proper syntax to use for 95% of prompts as a result. However, maintaining prompts in JSON allows you to easily make changes and adjustments to the logic in a coherant way. I'll add steps for markdown conversion in the next pass for those who prefer
!start [prompt to refine]- Initiates the workflow to transform and refine the user's initial prompt into a sophisticated meta-prompt.!experiment- Engages the tool in a creative loop, generating a variety of prompt variations to explore different possibilities and perspectives.!refine [feedback]- Uses user-provided feedback to further refine and enhance the meta-prompt, ensuring alignment with the user's intentions and goals.!demo- Demonstrates the tool's capabilities using AI-generated data, providing insights into its potential applications and effectiveness.C- Continues the workflow from the last checkpoint, useful in case of interruptions or for extended processing.
sequenceDiagram
participant User
participant ChatGPT
participant PythonTool as Python Tool
Note over User, ChatGPT: !start [prompt]
User->>ChatGPT: Provides Initial Prompt
Note over User, PythonTool: Refinement Workflow #E0FFFF
ChatGPT->>PythonTool: Understanding Analysis
PythonTool->>PythonTool: Adaptive Contextualization
PythonTool->>PythonTool: Chain of Thought (CoT) Expansion
PythonTool->>PythonTool: Universal Personalization
PythonTool->>PythonTool: Optimization
PythonTool->>PythonTool: Synthesize Final Prompt
PythonTool-->>ChatGPT: Final Refined Prompt
ChatGPT->>User: Present Final Refined Prompt
Note over User, PythonTool: Post-Actions
loop User Interaction
User->>ChatGPT: Issues Command
note over User, ChatGPT: !experiment
alt Prompt Variation Experimentation
ChatGPT-->>ChatGPT: Proceed with Experimentation Loop
loop Experimentation & Enhancement
ChatGPT->>PythonTool: Experiment with Prompt Variants
PythonTool-->>ChatGPT: Feedback and Learning
end
ChatGPT->>User: Present results
note over User, ChatGPT: !refine [feedback]
else Refine Workflow
ChatGPT-->>ChatGPT: Performs Refinement Workflow
end
end
GPT Public Link: Access GPT Here
This GPT is designed to elevate the clarity and effectiveness of user (task) prompts for AI interactions. This tool transforms vague or broad initial inputs into precisely structured and optimized prompts. It's particularly adept at handling complex tasks, ensuring that the resulting prompts are highly coherent and tailored for GPT-4's capabilities.
Users begin by inputting an initial, perhaps unpolished, prompt. The GPT then employs a series of steps involving detailed analysis, enhancement, categorization, and optimization. This multistage process distills the essence of the user's request, refining it into a clear, actionable prompt. The tool is ideal for users who wish to transform their ideas into well-defined instructions for AI applications, ensuring maximum comprehension and effectiveness.
!start [prompt for refinement]: Initiates the refinement process based on the user's input. This command sets off the workflow, transforming the user's initial prompt into a more structured form.!refine [feedback]: Allows users to provide feedback on the refined prompt, initiating a secondary refinement process. This iterative approach ensures that the final prompt aligns perfectly with the user's intent.!demo: Demonstrates the tool's capabilities using AI-synthesized examples.
sequenceDiagram
participant User
participant ChatGPT
participant PythonTool as Python Tool
User->>ChatGPT: Initiates the workflow with !start
ChatGPT->>PythonTool: Submits the initial prompt for transformation
PythonTool->>PythonTool: Analyzes the prompt
PythonTool->>PythonTool: Enhances the prompt's clarity and focus
PythonTool->>PythonTool: Optimizes the prompt for GPT-4
PythonTool->>PythonTool: Categorizes the prompt for contextual relevance
PythonTool-->>ChatGPT: Synthesizes the refined prompt
ChatGPT->>User: Presents the refined prompt to the user
loop User Feedback and Iteration
User->>ChatGPT: Provides feedback or additional commands
alt Refinement based on Feedback
ChatGPT->>PythonTool: Applies user feedback for further refinement
else Demonstration or Restart
ChatGPT->>User: Executes demonstration or restarts the process
end
end
GPT Public Link: Access GPT Here
The Business Contract Analyzer is a sophisticated tool designed to provide a comprehensive analysis of legal contracts. Strategically leveraging RAG Search for in-depth content extraction and the Python tool for planning and data synthesis, it offers a granular review of contractual documents. This tool is especially beneficial for legal professionals and businesses who require a thorough understanding and interpretation of contract terms, conditions, and implications.
To utilize the Business Contract Analyzer, users should upload the legal document they wish to analyze. The tool then proceeds on a multi-faceted analysis process, dissecting the contract's content to provide insights on key clauses, potential legal implications, and areas of concern or interest. The advanced start can be used to refine the analysis based on user preferences.
!start- Initiates the analysis process based on the user-uploaded contract.!advStart [specific interests]- Launches an in-depth analysis focusing on areas specified by the user, such as particular clauses, legal risks, or obligations.!demo- Demonstrates the tool's capabilities using synthesized data for a better understanding of its functionality.
- ENSURE the uploaded document shows DOCUMENT, and NOT PDF. This workflow requires RAG to operate correctly and currently only a small amount of PDFs actually work properly with RAG.
- If the workflow starts with a call to the python tool instead of a RAG search, thats how you know that PDF is unable to be vectorized or searched with RAG and this workflow will NOT work in that case. Doc and txt files work perfectly, you can use Adobe Acrobat to covert any pdf to a doc in about 3 seconds total.
sequenceDiagram
participant User
participant ChatGPT
participant RAG as RAG Search
participant PythonTool as Python Tool
User->>ChatGPT: Uploads Contract Document
ChatGPT->>RAG: Conducts Initial Full Document Analysis
RAG-->>PythonTool: Extracts Key Contractual Elements
PythonTool->>PythonTool: Develops a Strategy for Deep Analysis
PythonTool-->>ChatGPT: Outlines Detailed Search Strategy
loop Detailed Analysis Loop
ChatGPT->>RAG: Executes Targeted Deep Searches Based on Strategy
RAG-->>PythonTool: Provides In-depth Search Results
PythonTool->>PythonTool: Synthesizes and Interprets Findings
end
PythonTool->>PythonTool: Compiles Comprehensive Analysis Report
PythonTool-->>ChatGPT: Finalizes and Formats Report
ChatGPT->>User: Presents Detailed Contract Analysis
GPT Public Link: Access GPT Here
In today's fast-paced business world, staying ahead in the competitive landscape is key to success. This GPT is a tool designed to provide in-depth, real-time analysis of competitive dynamics within various industries. This workflow combines the analytical prowess of ChatGPT, the data processing capabilities of Python, and the extensive information access of the Browser tool to deliver a comprehensive view of competitors' strategies, market trends, and potential opportunities for strategic positioning.
To utilize this GPT, users can input specific parameters such as the industry of interest, key competitors, and specific areas they want to focus on. The AI then employs a strategic search and synthesis process, adapting its depth and focus based on the user-defined scope. This allows users to tailor the analysis to their unique needs, whether they seek a broad industry overview or a deep dive into specific competitive strategies.
!start [industry, competitors, specific areas of interest]- Initiates the analysis process based on user-defined parameters. At least one field is required, with additional fields optional to refine the scope.!refine [feedback]- Enables users to refine the analysis based on specific feedback!demo- Demonstrates the workflow with synthesized data.
sequenceDiagram
participant User
participant ChatGPT
participant PythonTool as Python Tool
participant Browser
User->>ChatGPT: Provide Industry, Key Competitors, Areas of Interest
ChatGPT->>PythonTool: Planning Phase
PythonTool-->>ChatGPT: Analysis Plan
loop Data Collection and Analysis Loop
ChatGPT->>Browser: Search Competitors and Market Trends
Browser-->>PythonTool: Gathered Data
PythonTool->>PythonTool: Process and Analyze Data
end
PythonTool->>PythonTool: Identify Patterns and Strategic Insights
PythonTool->>PythonTool: Generate Report and Recommendations
PythonTool-->>ChatGPT: Compiled Report
ChatGPT->>User: Present Final Report
loop User Feedback Loop
User->>ChatGPT: Provide Feedback
ChatGPT->>PythonTool: Refinement Workflow
end
GPT Public Link: Access GPT Here
This GPT represents a significant leap in efficiently handling complex, information-dense documents. Designed for those who need to quickly grasp the essence of lengthy materials, it serves as a powerful assistant in distilling key knowledge from extensive texts. Whether you're navigating academic research, sifting through business reports, or delving into technical papers, this tool condenses volumes of information into clear, concise summaries, saving valuable time and effort.
Required Input: User-Uploaded Document
To harness the full potential of this GPT, simply upload the document you need to analyze. The tool then engages in a sophisticated process to extract the most pertinent information, synthesizing it into an easily digestible summary. This functionality is particularly useful for those who need to assimilate large amounts of data rapidly, whether for study, professional analysis, or personal interest.
!start: Initiates the analysis process using the user-uploaded document.!refine [keywords]: Focuses the distillation process on specific topics or key terms provided by the user.
- ENSURE the uploaded document shows DOCUMENT, and NOT PDF. This workflow requires RAG to operate correctly and currently only a small amount of PDFs actually work properly with RAG.
- If the workflow starts with a call to the python tool instead of a RAG search, thats how you know that PDF is unable to be vectorized or searched with RAG and this workflow will NOT work in that case. Doc and txt files work perfectly, you can use Adobe Acrobat to covert any pdf to a doc in about 3 seconds total.
- This workflow just barely finishes around the same time of the response hard timeout currently. Sometimes it will reach that hard timeout. When this happens, simply refresh the window, and use !continue to finish up the workflow and continue. See the below images for example.
sequenceDiagram
participant User
participant ChatGPT
participant RAG as RAG Search
participant PythonTool as Python Tool
User->>ChatGPT: Uploads Document
ChatGPT->>RAG: Conducts Initial Document Search
RAG-->>PythonTool: Transfers Document Understanding
PythonTool->>PythonTool: Engages in Strategic Planning
PythonTool-->>ChatGPT: Outlines Document Analysis Strategy
loop RAG Search Loop for Key Concepts
ChatGPT->>RAG: Performs Focused Searches
RAG-->>PythonTool: Delivers Search Results
PythonTool->>PythonTool: Synthesizes Key Information
end
PythonTool->>PythonTool: Compiles a Comprehensive Knowledge Summary
PythonTool-->>ChatGPT: Presents the Synthesized Summary
ChatGPT->>User: Displays Knowledge Summary
GPT Public Link: Access GPT Here
The Botanical Growth Cycle Visualizer is a unique, specialized educational tool built for high-quality visualizations of the growth cycle of various plant species. It's designed for both educational purposes and plant enthusiasts who wish to understand and observe the intricate stages of plant growth in a visually engaging manner. This tool is particularly useful for botanists, educators, and anyone with a keen interest in botany.
To leverage this GPT, users simply need to specify the plant species they're interested in. The AI will then take over, synthesizing data and generating a series of images that depict the various stages of the plant's growth cycle, from seed germination to maturity. It's an interactive, user-friendly tool that brings the fascinating process of plant growth to life.
!start [plant species]- This command initiates the workflow, triggering the AI to begin visualizing the growth cycle of the specified plant species.!demo- A demonstration mode, showcasing the tool's capabilities with a pre-selected plant species.
sequenceDiagram
participant User
participant ChatGPT
participant PythonTool as Python Tool
participant DallE as DALL-E
User->>ChatGPT: User Input
ChatGPT->>PythonTool: Data Synthesis and Planning
loop Image Generation Loop
PythonTool->>DallE: Request Image Generation
DallE-->>PythonTool: Return Generated Image
end
PythonTool->>ChatGPT: Compiled Images
ChatGPT->>User: Recap and Exploration
