The first step in building an AI framework that adapts and improves over time is to create a foundation where AI Agents can operate autonomously. 🏗️🤖

The Theoriq protocol uses hierarchical abstraction to define Agents by their behaviors. And there’s more to it than that. 🧩

We’ve introduced four specialized types of Agents: 🕵️‍♂️

1️⃣ Collectives
2️⃣ Aggregators
3️⃣ Evaluators
4️⃣ Optimizers

Let’s take it one step further. 🔍

Each Agent receives a budget when invoked and is responsible for autonomous budget management, including allocation for its own services and task delegation to other Agents. 🔄

This structure standardizes a composable AI ecosystem where Agents with diverse capabilities can be seamlessly integrated. 🌐

We’re launching an educational series on our litepaper to highlight what sets us apart from other AI Agent platforms. 

In the meantime, read the litepaper and stay tuned! 👀

📄

The first step in building an AI framework that adapts and improves over time is to create a foundation where AI Agents can operate autonomously. 🏗️🤖

The Theoriq protocol uses hierarchical abstraction to define Agents by their behaviors. And there’s more to it than that. 🧩

We’ve introduced four specialized types of Agents: 🕵️‍♂️

1️⃣ Collectives
2️⃣ Aggregators
3️⃣ Evaluators
4️⃣ Optimizers

Let’s take it one step further. 🔍

Each Agent receives a budget when invoked and is responsible for autonomous budget management, including allocation for its own services and task delegation to other Agents. 🔄

This structure standardizes a composable AI ecosystem where Agents with diverse capabilities can be seamlessly integrated. 🌐

We’re launching an educational series on our litepaper to highlight what sets us apart from other AI Agent platforms. 

In the meantime, read the litepaper and stay tuned! 👀

📄 https://bit.ly/theoriq-litepaper