Why Google Gemini 3 is 'better' than OpenAI
First things first, at AINIRO we've been "better" than OpenAI for 3 years now. This might come as a surprise, considering AINIRO is a solopreneur company founded on $7, while OpenAI has spent about 500 billion dollars so far, and has 1,000+ dev heads. However, we've been objectively "better" than OpenAI consistently, non-stop now for almost 3 years. FYI, being "better" than open AI is literally as easy as creating an API key, and create a couple of lines of code on top of their API.
The point being that the LLM by itself is arguably useless for anything besides asking it basic questions ...
AI is not about LLMs
This might come as a surprise, but AI is not about LLMs. AI is a tool, and the more you're able to horizontally integrate it, across all your departments, the "better" it becomes. For a CEO at a 25 employee head count company, using GPT version 3 with integration towards his CRM is objectively "better" than ChatGPT version 5.1 without that integration.
Hence, when the AI has become sufficiently skilled at following instructions, the LLM race is "over". Whether or not my LLM has an IQ of 85 or 385 is quite frankly irrelevant, as long as it can (correctly) execute my functions, and correctly tell me what it's doing. Most tasks the LLM is expected to perform are tedious and repetetive in nature, and doesn't require a "rocket scientist" - Hence as long as it does what I tell it to do, the LLM scoreboard score is literally 100% completely irrelevant.
For Google of course, being able to horizontally integrate their LLMs into every single product they've got, it becomes "better". Not because of that the LLM objectively is better, but simply because I can tell it to send an email for me - And I can't tell OpenAI to send an email for me, not without additional integrations giving it access to do just that.
Middleware
Once you've read the above, it becomes painfully obvious that the quality of your AI agent is in its toolset, and not in its LLM scoreboard on some test asking questions no sane human would ever ask it. Meet Magic Cloud.
Over the last 6 years we've created Magic Cloud. Magic is middleware for your LLM, allowing you to rapidly create as many tools as you wish. With its CRUD generator for instance, you can literally create thousands of tools per second. And because of Hyperlambda, you can use natural language to generate code. However, the proof is literally in the pudding ...
Click the button in the bottom/right corner, and try our AI agent for yourself. I suspect you'd be surprised of its quality.
Wrapping Up
AI is not about LLMs, it's about how useful it is. Once something is "connected" to everything you've got from before, it becomes objectively "better", for that exact reason. At AINIRO "connecting" LLMs to your existing tools is what we do. It's also literally the only thing we do. In addition, we've created a platform who's sole purpose is to "connect your stuff to the LLM" more easily.
If you're interested in hearing more about how we can help you connect your AI agent to your tools, you can reach out to me below.
