Draft:GPTConsole

GPTConsole
GPTConsole
Developer(s)	Hari Babu Gadipudi
Initial release	September 15, 2023; 21 months ago
Written in	JavaScript
Type	AI Agent platform web platform autonomous artificial intelligence
Website	gptconsole.ai

Submission declined on 30 June 2024 by ARandomName123 (talk).

This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of web content). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.

If you would like to continue working on the submission, click on the "Edit" tab at the top of the window.
If you have not resolved the issues listed above, your draft will be declined again and potentially deleted.
If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors.
Please do not remove reviewer comments or this notice until the submission is accepted.

Where to get help

If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews.
If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed.

How to improve a draft

Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia.
Help:Wikitext – how to use the markup
Help:Referencing for beginners – how to include references
Wikipedia:Article development – how to develop your article
Wikipedia:Writing better articles – how to improve your article
Wikipedia:Verifiability – make sure your article includes reliable third-party sources

You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article.

Improving your odds of a speedy review

To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags.

Add tags to your draft

Editor resources

Easy tools: Citation bot (help) | Advanced: Fix bare URLs

Declined by ARandomName123 11 months ago. Last edited by Jerryobject 51 days ago. Reviewer: Inform author.

Resubmit

Please note that if the issues are not fixed, the draft will be declined again.

GPTConsole is a web platform for building artificial intelligence (AI) software agents.^{[citation needed]} These agents work on tasks for long periods instead of just natural language generation of text.^{[citation needed]}

Background

On September 13, 2023, GPTConsole was released by its developer, Hari babu Gadipudi.^{[citation needed]}

Code generated by large language models (LLMs) is not always executable.^[1] Autonomous AI agents primarily depend on LLMs to generate code or make decisions on the next move. If LLM-generated code is not executable or contains a bug, the AI agent may enter an infinite loop, getting stuck in a cycle it cannot escape. One solution is to use pre-tested code (or skills). Instead of asking the LLM to generate code for the next step, the AI agent can ask the LLM to pick a skill to perform the task.

Applications

Software development

In the employment market, programmers (software developers) are used to complete specific tasks. Similarly, GPTConsole can be used to build AI intelligent agents to perform specific tasks.^[2] Such agents do not rely on LLM-generated code to complete tasks. Instead, they use pre-tested code blocks (or artificial skills), the decision-making power of LLMs, and task planning and execution strategies. A few examples include web developer agent who build production-ready ReactJS web applications, frontend developer agent who create landing pages for software as a service (SaaS), JavaScript developer agent who writes code using p5.js to create art, and Python developer agent who generate music notes. For example, a web developer agent can build an application but cannot generate art.

Generative

GPTConsole can be used to build AI agents for tasks that require generating long-form content. These agents can be used to write books, movie screenplays, and research papers, handling the creation of extensive and coherent text.

Automation

GPTConsole can be used to build AI agents for automating entire business processes. AI agents can manage marketing campaigns, sales processes, customer support, product development, product research, investment research, and content creation from start to finish.

References

^ Valenzuela, Andrea. "Why LLMs are not Good for Coding". Towardsdatascience. Retrieved February 28, 2024.
^ Razzaq, Asif. "A Paradigm Shift in Software Development: GPTConsole Artificial Intelligence AI Agents Open New Horizons". marktechpost. Retrieved October 10, 2023.

[:5-1] Valenzuela, Andrea. "Why LLMs are not Good for Coding". Towardsdatascience. Retrieved February 28, 2024.

[:7-2] Razzaq, Asif. "A Paradigm Shift in Software Development: GPTConsole Artificial Intelligence AI Agents Open New Horizons". marktechpost. Retrieved October 10, 2023.

[1]

[2]