I am Korean, and I originally wrote this in Korean. I used ChatGPT to translate and organize my thoughts into English, so some nuance may not be perfect. After using multiple AI tools for a while, I feel that current AI systems are not really complete as a single all-in-one solution. Each one seems to have a very different role. From my experience, it feels roughly like this: Grok: real-time radar Perplexity: source checking, criticism, fact-checking Claude: code, documents, and system structure ChatGPT: long-term context, judgment structure, and integrating different opinions The problem is that I keep having to copy and paste between them and act as the middleman. For example, if I want to analyze an issue, the workflow often becomes something like this: Check real-time trends with Grok Verify sources with Perplexity Use ChatGPT to organize the judgment structure Use Claude to turn it into a document or code Go back to ChatGPT to revise the structure Go back to Perplexity to challenge and verify the logic At first, I thought AI would reduce my workload. But after using several models for a long time, I feel like a new kind of labor has appeared: I have to organize, compare, verify, and manage the outputs from different AIs myself. This becomes even more serious in areas where being wrong can be costly, such as investing, international politics, economics, and technology trends. ChatGPT is useful for building a big-picture framework and integrating different ideas, but if the output sounds too coherent, it can actually become dangerous. Perplexity is good at source-based criticism and fact-checking, but sources are often backward-looking. It may be late when dealing with fast-moving changes. Grok is useful for real-time information, but there is a lot of noise, and the reliability of sources needs to be checked. Claude is good at turning a broad concept into a document, code, or system structure. But often it creates the skeleton, while the actual logic and content inside the system still need to be designed separately. So I don’t think the solution is simply choosing one AI over another. What seems necessary is a “hub” that connects multiple AIs. The ideal workflow would be something like this: Bring real-time signals from Grok Use Perplexity to verify sources and find counterarguments Use ChatGPT to structure the judgment Use Claude to turn it into documents or code Then record all of these outputs into one standardized format The important thing is that this should not be just a note-taking app. It should be a system that turns AI outputs into something that can be scored, compared, and used for decision-making. For example, in investment analysis, such a hub could include: Macro environment score Asset-specific score Price trigger Risk level Possible allocation size Do-not-buy conditions Counterarguments Next checkpoints In other words, I feel we need a system that organizes AI outputs into a practical decision framework. Right now, each AI has useful abilities, but the integration layer feels broken or missing. As a long-term AI user, I feel like I want to move from the stage of “using AI” to the stage of “orchestrating AIs.” But current platforms do not seem to make that transition easy. In the end, I think what we need is not just another chatbot, but a personal AI orchestration hub. I am trying to think through a personal hub that integrates the outputs of multiple AIs into one judgment system, but doing this manually as an individual user is honestly pretty exhausting. Has anyone else felt this problem? Are there existing tools or workflows that solve this? Or are we still too early for this kind of personal AI orchestration system? submitted by /u/Professional-Egg5137
Originally posted by u/Professional-Egg5137 on r/ArtificialInteligence