Draft:GPTConsole

{{AFC submission|d|web|u=VerifiableSource|ns=118|decliner=ARandomName123|declinets=20240630234159|ts=20240630203738}}

{{Short description|Platform for creating autonomous AI agents}}

{{Draft topics|software|computing|technology}}

{{AfC topic|org}}

{{Use mdy dates|date=June 2024}}

{{Use American English|date=June 2024}}

{{Infobox software

| title = GPTConsole

| logo = GPTConsole Logo.jpg

| developer = Hari Babu Gadipudi

| released = {{Start date and age|2023|09|15}}

| genre = AI Agent platform web platform autonomous artificial intelligence

| programming language = JavaScript

| website = {{URL|gptconsole.ai}}

}}

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

{{Multi-agent system}}

Background

On September 13, 2023, GPTConsole was released by its developer, Hari babu Gadipudi.{{cn}}

Code generated by large language models (LLMs) is not always executable.{{Cite web |last1=Valenzuela |first1=Andrea |title=Why LLMs are not Good for Coding|url=https://towardsdatascience.com/llms-coding-chatgpt-python-artificial-intelligence-4ea7a7bbdd93 |access-date=2024-02-28 |website=Towardsdatascience |language=en}} 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.{{Cite web |last1=Razzaq |first1=Asif |title=A Paradigm Shift in Software Development: GPTConsole Artificial Intelligence AI Agents Open New Horizons |url=https://www.marktechpost.com/2023/10/10/a-paradigm-shift-in-software-development-gptconsoles-artificial-intelligence-ai-agents-open-new-horizons/|access-date=2023-10-10 |website=marktechpost |language=en}} 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

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