[GitHub](https://github.com/aiagenta2z/awesome-chatgpt-apps) | [Website](https://www.deepnlp.org/store/chatgpt-app)In this blog, I will introduce you step by step on how to submit your First ChatGPT Apps.ChatGPT Apps are just like the Apple App Store and WeChat Mini Apps, in which developers implement their features as 'tool' and UIas "resources", and render back the results to ChatGPT and display in the Chat Interface. In this blog, we will use a simple Bill Agentwhich help you track daily bills and generate expenses summary report as an example of how to submit your AI Apps/Agents to ChatGPT.Required:0. App Icon Format: SVG (64 × 64 px)1. A Valid MCP Server URL: This is the core part of an ChatGPT Apps, you can test if the tools are resources are rendered correcly. I tried cursor, DeepNLP Agent Router(https://www.agent.deepnlp.org)2. Domain Verification. You will need to put a verification code under your root domain to verify ownership, the address is 3. 5 Test Cases and 3 negative cases: Which Allow ChatGPT to know when to call and not to call your tools.4. Screenshot Sizes: ### submit address https://platform.openai.com/apps-manage### guideline: https://developers.openai.com/apps-sdk/app-submission-guidelinesWe have wrapped up a simple add bill payment agent which you can add a bill by typing something like "xxxx"https://agent.deepnlp.org/container/aiagenta2z/a2z_bill_agent/mcpStep 1. App InfoThis is the place where you add your App name, Subtitle, Description of your App and choose category.Step 2. MCP Server This is the place where you let ChatGPT to connect to your MCP server and get tools/ resources. You also need to provide some information about the MCP field justification such as why the tool is not read only (In our case, we are adding a bill record to MCP server DB), etc.Domain VerificationIn this like the Google search console, you have to put the code under the relative path so that website can read the file and know you own the domain. https://{your_domain}/.well-known/openai-apps-challengeStep 3. TestingThis is the step which takes the most time to complete.In this step, you need to fill in form of providing 5 positive cases and 3 negative cases to ChatGPT so that they can use it as system prompts to let ChatGPT properly chose tools. Step 4. ScreenShotsThis step is easy, just prepare 4 images of the required sizes.Changes these 3 files to At least 1 screenshot is required at 2x (retina-quality); 4 screenshots max.Requirements:PNG fileWidth: 706pxMin height: 400pxMax height: 860px (Recommended)Step 5. GlobalChoose CoutriesStep 6. Submit Submit and consend to a lot of options, easy steps.

How to submit ChatGPT Apps and Register Your First ChatGPT Apps?

Does anyone have free OpenAI access key that is available to use their latest ChatGPT AI Agent feature? I have not upgraded my OpenAI plan but still want to just have a try using temporary access keys. Any tips will be greatly appreciated!

[GitHub](https://github.com/aiagenta2z/awesome-chatgpt-apps) | [Website](https://www.deepnlp.org/store/chatgpt-app)In this blog, I will introduce you step by step on how to submit your First ChatGPT Apps.ChatGPT Apps are just like the Apple App Store and WeChat Mini Apps, in which developers implement their features as 'tool' and UIas "resources", and render back the results to ChatGPT and display in the Chat Interface. In this blog, we will use a simple Bill Agentwhich help you track daily bills and generate expenses summary report as an example of how to submit your AI Apps/Agents to ChatGPT.Required:0. App Icon Format: SVG (64 × 64 px)1. A Valid MCP Server URL: This is the core part of an ChatGPT Apps, you can test if the tools are resources are rendered correcly. I tried cursor, DeepNLP Agent Router(https://www.agent.deepnlp.org)2. Domain Verification. You will need to put a verification code under your root domain to verify ownership, the address is 3. 5 Test Cases and 3 negative cases: Which Allow ChatGPT to know when to call and not to call your tools.4. Screenshot Sizes: ### submit address https://platform.openai.com/apps-manage### guideline: https://developers.openai.com/apps-sdk/app-submission-guidelinesWe have wrapped up a simple add bill payment agent which you can add a bill by typing something like "xxxx"https://agent.deepnlp.org/container/aiagenta2z/a2z_bill_agent/mcpStep 1. App InfoThis is the place where you add your App name, Subtitle, Description of your App and choose category.Step 2. MCP Server This is the place where you let ChatGPT to connect to your MCP server and get tools/ resources. You also need to provide some information about the MCP field justification such as why the tool is not read only (In our case, we are adding a bill record to MCP server DB), etc.Domain VerificationIn this like the Google search console, you have to put the code under the relative path so that website can read the file and know you own the domain. https://{your_domain}/.well-known/openai-apps-challengeStep 3. TestingThis is the step which takes the most time to complete.In this step, you need to fill in form of providing 5 positive cases and 3 negative cases to ChatGPT so that they can use it as system prompts to let ChatGPT properly chose tools. Step 4. ScreenShotsThis step is easy, just prepare 4 images of the required sizes.Changes these 3 files to At least 1 screenshot is required at 2x (retina-quality); 4 screenshots max.Requirements:PNG fileWidth: 706pxMin height: 400pxMax height: 860px (Recommended)Step 5. GlobalChoose CoutriesStep 6. Submit Submit and consend to a lot of options, easy steps.

In this blog, we will introduce how to use ChatGPT stock analysis chatbot to quickly generate professional charts of financial data. A few AI techniques such as RAG (Retrieval Augmented Generation), Text2SQL, and Larget Language Models (LLM) are used to help users find financial data, draw chart to compare key metrics, and adjust the color and shape of the chart using simple natural language prompts. A typical scenrio for professional financial analysts is to draw chart to compare the market capitalization, PE ratio of stocks from global market in converted currencies (US Dollars for example). This is a frequent scenario of daily workflow. The snapshots of AI generated charts is shown using DeepNLP Financial Assistant. You can try by clicking the button below the page, copy and paste the query in the chatbox and ask AI to generate charts or tables in few seconds, copy the charts to your reports or send to your manager. From the chart, we can see that on January 15th, Microsoft (MSFT) market cap reaches 2,887 Billon US dollars, and Apple (AAPL) reaches 2,874.68 Billion US dollars. Microsoft's market cap surpassed Apple and became the company of largest market capitalization in United States. The real-time stock data is from the web APIs, and converted to SQL using Text2SQL and LLM techniques.

In this blog, we will introduce how to use ChatGPT stock analysis chatbot to quickly generate professional charts of financial data. A few AI techniques such as RAG (Retrieval Augmented Generation), Text2SQL, and Larget Language Models (LLM) are used to help users find financial data, draw chart to compare key metrics, and adjust the color and shape of the chart using simple natural language prompts. A typical scenrio for professional financial analysts is to draw chart to compare the market capitalization, PE ratio of stocks from global market in converted currencies (US Dollars for example). This is a frequent scenario of daily workflow. The snapshots of AI generated charts is shown using DeepNLP Financial Assistant. You can try by clicking the button below the page, copy and paste the query in the chatbox and ask AI to generate charts or tables in few seconds, copy the charts to your reports or send to your manager. From the chart, we can see that on January 15th, Microsoft (MSFT) market cap reaches 2,887 Billon US dollars, and Apple (AAPL) reaches 2,874.68 Billion US dollars. Microsoft's market cap surpassed Apple and became the company of largest market capitalization in United States. The real-time stock data is from the web APIs, and converted to SQL using Text2SQL and LLM techniques.

In this blog, we will summarize the latex code of most fundamental equations of GPT (Generative Pre-trained Transformer) Models. This blog will cover many popular GPT models, including GPT1, GPT2, GPT3, GPT4, InstructGPT, ChatGPT, etc.

In this blog, we will introduce 4 ways to use ChatGPT powered chatbot to gain real-time information of global stock markets and accelerate your working productivity. The global financial stock market's realtime data is usually seperated across different websites globally, including NASDAQ, NYSE, London Stock Change(LSE), Hongkong Stock Exchange(HKEX), Tokyo stock Exchange(TSE), National Stock Exchange in India (NSE), SHANGHAI/SHENZHEN stock Exchange, etc. Use ChatGPT powered Chatbot can help query stock prices from diffent market, compare them in a single question in the natural languange manner. For example, you can ask Chatbot a question: "Stock price of Tesla, Shell and Alibaba" in a single question. You can gain also more information from there different global markets at the same time (NASDAQ, London Stock Exchange and Hongkong Stock Exchange, etc). Additionally, you can also ask more specific questions like financial data including PE ratio, Market Capitalization (Market Cap), High Price of a particular stocks. Comparing the financial data performance, such as stock price, market cap, pe ratio of multiple stocks are also a frequent way of using Chatbot. Also you can ask the chatbot to help you plot a table or chart to compare the stocks, which you can just copy and paste to your daily financial report.

In this blog, we are introducing how you can use financial chatbot and AI-assistant writer to help you facilitate daily financial work, such as getting realtime stock price quote from global markets (US: NYSE,NASDAQ; China: HKEX, Shanghai,Shenzhen, etc.), consulting investment advice, consensus ratings and target price of stocks from analysts of multiple organizations (Schwab.com, MarketBeats, Zacks.com) and compare them, finding the meaning of complicated financial terms such as CPI, Put Option, Sharpe Ratio. You can also use ChatGPT to act as personally financial assistant, track your portfolio's stock names and show realtime changes. For content generation, you can use the AI-Writer assistant to facilitate writing reports, which integrates many APIs and other ChatGPT style Large Language Model to automatically generate text contents such as market research, financial reports of listed companies, etc.

In this blog, we will show you 3 easy steps to create your personal financial chatbot assistant powered by ChatGPT. ChatGPT is Large Language Model (LLM) based Artificial Intelligent service created by OpenAI company, who just released their latest Assistant API for chatbot creation. These AI assistants are very useful in financial industries. Common use cases include: Generating realtime stock price quotes, Analyzing financial data, Providing investment advices, generating summary of financial reports, etc. Keywords: Financial Chatbot, Financial ChatGPT, Chatbot Stock Price, Chatbot NYSE, Chatbot.