ChatGPT Operator and Tasks: Is This the End of Agent Platforms?

We now live in a world where we can send emails, set reminders, book airline tickets, and do much more using simple text prompts. With ai chatbot geniuses trained to believe 'Your message is my order'all you have to do is write your wish. And that's it! The agent will do it for you automatically! It's true, now ai chatbots like ChatGPT with scheduled tasks and operator, and Claude with its computer usage feature, can automate tasks without the need for separate ai agents. Does this mean we no longer need tools dedicated to creating ai agents? Does this mark the downfall of agent ai platforms like LangGraph, AutoGen and CrewAI? Let's find out.

<h2 class="wp-block-heading" id="h-ai-agentic-tasks-across-platforms-chatgpt-claude-and-beyond”>Task ai agents on all platforms: ChatGPT, Claude and more

ai-powered chatbots and virtual assistants are developing agency functions that make our lives much easier. Thanks to these developments, we no longer need specific agents for simple tasks like scheduling, setting reminders, receiving updates, creating content, etc. Let's learn about the agent features offered on different ai platforms and what they can do.

ChatGPT Operator and Task Scheduling Features

ChatGPT has recently introduced two new features: scheduled tasks and operator takes a big step towards agent ai. These tools can automatically send you updates, perform web searches, make reservations, and much more. Let me explain to you.

• Task scheduling: This allows ChatGPT to automate recurring or future tasks by triggering pre-set actions at a specific time. For example, it can remind you about an upcoming event or meeting, or send you newsletters every morning, once you set it up with a single message.
• Operator Feature: This new feature allows ChatGPT to execute everyday tasks by making specific API calls and interacting directly with third-party tools. This allows users to book flights, send emails, generate reports, schedule appointments, and more, just by telling ChatGPT what to do.

Learn more: OpenAI Operator: ChatGPT-like moment for ai agents

Agent functions on other platforms

In addition to ChatGPT, some other platforms have also developed agent and task automation functions. Let's take a look at some of them.

1. Claudius 3.5

The Computer Usage feature in Claude 3.5 gives you the ability to access and manage computer files locally. Users can give the ai ​​chatbot access to their personal systems, and it can autonomously write on the screen, create files, run scripts, and execute workflows, based on input prompts. This makes it more of a virtual assistant agent for personal and business use.

Learn more: Exploring the latest features in Claude 3.5 and what we can do with them

<h4 class="wp-block-heading" id="h-2-google-ai-studio-and-gemini-chatbot”>2. Google ai Studio and Gemini Chatbot

Google ai Studio and its Gemini chatbot focus on integrating task automation within Google Workspace. Gemini can pull data from Google Sheets, automate emails, and even manage calendar events and send reminders. Additionally, its advanced multimodal capabilities further enhance its agent potential.

3. Copilot tools

Copilot tools, such as GitHub Copilot and Microsoft Copilot, automate specific tasks within your domains and ecosystems. These ai assistants stand out for their expertise in specific fields, such as code generation and document editing.

<h4 class="wp-block-heading" id="h-4-meta-ai-chatbot”>4. Meta-ai chatbot

Meta's chatbot, Meta ai, is gradually adding agency features, including task scheduling and social media management. While still evolving, Meta's focus on integrating its chatbot with platforms like instagram and facebook is certainly a step towards social media automation.

All of these features transform tools like ChatGPT, Claude, and MetaAI from passive conversational ai chatbots into active, goal-oriented ai agents. Additionally, they embed agent ai into our daily lives without requiring separate agents, reducing our dependence on agent creation tools.

Also Read: 5 Real-Life Use Cases of ai Agents for Daily Work

Would we still need agent creation platforms?

Well, the answer is yes… for now. While ai chatbots have now entered task automation, it is just a small step. There is much more we can do with agents built on platforms like LangGraph, AutoGen or CrewAI.

We still need agent creation tools and platforms to:

1. Complex, enterprise-grade workflows: Complete agent creation platforms have the technological framework to create agents that can automate complex tasks and workflows. This cannot be done by ai chatbots, for now.
2. Integration with Current Systems: Companies mainly need agents that integrate with their company's databases, CRM or ERP. Platforms like LangGraph and CrewAI provide the flexibility to create custom agents that can integrate with existing systems.
3. Custom Data Training: Organizations often require agents to be trained on proprietary data sets, tailored to their unique workflows. Agent creation platforms provide a more secure and functional space to create and train agents on custom data.
4. Specialized ai agents: Tools like AutoGen, LangGraph, and CrewAI enable the development of deeply specialized agents (e.g., legal advisors, medical assistants) tailored to specific industries. The tasks performed by these agents are not simple enough to be performed by chatbots.
5. Multi-agent orchestration: Most enterprise workflows require more than one agent to work together to accomplish the task. These multi-agent frameworks and systems can only be built on full platforms like Microsoft Orchestrator.
6. Benefits of open source platforms: Open source agent building platforms like Rasa, AutoGPT, and LangGraph offer unmatched flexibility and control. They allow developers to customize agents, leverage existing frameworks, and tailor solutions to meet unique organizational needs. Open source platforms also encourage innovation and offer cost-effective alternatives to proprietary chatbots like ChatGPT.

<h2 class="wp-block-heading" id="h-the-future-of-agentic-ai“>The future of agent ai

With the integration of agent functions into ai chatbots, here are some key trends that we believe would shape the future of agent ai.

• Conversational platforms and unified agents: In the times to come, ai chatbots will increasingly combine conversational capabilities with autonomous task execution. This would reduce the need for separate tools and platforms for creating agents. It can also eliminate the need for separate agents for different tasks.
• Competition and Consolidation: We now have too many platforms offering similar services (e.g. Smallagents, LangGraph, AutoGen). In the future, some of them will disappear or be bought by larger companies, resulting in only a handful of ai agent creation tools.
• Reduced complexity: While no-code tools simplify creating agents, designing effective workflows and maintaining control still requires experience. In the future, agent creation will be further simplified, making it more accessible to everyone, even for the creation of complex agents.
• Privacy and security: As ai agents gain more autonomy and deeper integration into our systems, the risks of misuse or breaches would increase. Strict protocols will need to be in place to control how much access these agents are given to personal files and secure data.

Also Read: Top 10 ai Agent Trends and Predictions for 2025

Conclusion

ChatGPT's operator and task scheduling features mark an important step in making agent ai accessible to everyone. Similar agent features in Claude and other ai platforms are also potentially reducing the need for standalone agent creation tools.

While they challenge traditional agent creation platforms in certain areas, tools like AutoGen, CrewAI, and LangGraph remain indispensable for complex, enterprise-grade automation. The future is in a hybrid ecosystem where general-purpose chatbots and specialized agent platforms coexist, offering users the best of both worlds.

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