Sha-Hulud is the name of a cyber attack that seems to have started with a Zapier developer machine, now having infected probably all AI software in the world, except ours.

LangChain is the by far most popular Python framework to build AI agents in. However, how does it compare to Magic Cloud with Hyperlambda?

If you measure the performance of Python with Flask, and compare it to Magic with Hyperlambda, you'll realise Hyperlambda has 12 times better performance.

I just conducted a performance test between Hyperlambda and Python's Fast API, and Hyperlambda has 20 times better performance.

With Magic Cloud you can 'generate' a CRM AI agent using no-code, allowing you to have an AI agent dealing with your existing or new CRM

We tested Google's Antigravity AI code generator platform, to see how it performs in comparison to Magic. Here's our rundowm of the differences.

Google just released Gemini 3, and apparently it seems to be 'better' than OpenAI. That's because they're measuring the integration, not the LLM.

Magic Cloud contains a CRUD generator that allows you to generate AI agents connected to your database with no-code.

AINIRO's Magic Cloud allows you to generate business process workflows, automating repetetive tasks.

Most people would claim Python is the AI programming language. In this article I will prove it's in fact Hyperlambda, and not Python!

At AINIRO we just now implemented support for GPT-5 type of models, allowing you to use these in your website AI chatbots and AI agents.

With Magic Cloud we can create AI agents in minutes. In fact, we're now so productive that we've decided to stop charging for creating AI agents, and simply give these away for free instead.