The evolution of artificial intelligence
The evolution of LLM models: from ChatGPT to the multi-agent era
In November 2022, OpenAI launched GPT-3. It was a revolution. LLM (Large Language Models) offered a conversational interface that anyone could use. However, their true evolution began with GPT-4 in 2023, which introduced deeper language understanding, greater reasoning capacity, and multimodality (text and image).
By 2024 and 2025, models were not only more intelligent but also more integrable. Now they can be customized through tools like OpenAI Assistants or programmatic functions. Additionally, multi-agent environments have emerged where several models collaborate to solve complex problems, such as agents that analyze data, generate reports, and execute actions together.
Content creation tools: the creator's new studio
Before, making a reel, an article, or a design required mastering multiple platforms. Today, AI-powered tools allow generating videos with text, synthesizing voices, writing scripts, and even editing images in seconds.
In my work, we have integrated these tools into projects for multimedia content, generating ideas, or even generating audio through AI. From Cursor, v0, and Midjourney to AI-powered automations, the creative flow has become continuous, iterative, and more accessible.
Introduction to Model Context Protocols (MCPs)
One of the most promising advances of the present is the development of MCPs (Model Context Protocols), a standardization proposal to allow multiple language models (LLMs) to share context, collaborate, and execute tasks securely and interoperably.
Imagine an ecosystem where you can connect a model specialized in law, another in financial analysis, and another in creativity, all working under a common protocol. That's what MCPs propose. Beyond the typical "prompt," identities, roles, objectives, and resources are now defined in multi-agent environments. This is the gateway to a new way of building software: not just interfaces, but digital societies of intelligent agents.
For more details, you can explore the official introduction to MCPs.
Conclusion: designing with intelligence
Artificial intelligence has ceased to be an auxiliary tool to become an essential layer of digital design. As a developer and CTO of The Noro, my focus has shifted from simply building interfaces to orchestrating flows of intelligence between humans and machines.
From 2022 to 2025, we have seen unprecedented acceleration: more intelligent LLMs, more powerful creation tools, and now, protocols that enable collaboration between intelligences. In the coming years, the challenge will not just be using AI, but designing experiences where intelligence is distributed ethically, creatively, and with purpose.
Author
- Nathan Lazo [nathan-lazo.com] [github]