Introducing GLAMAS

Stronghold Labs mission is to grow AI adoption by making automation more dependable, scalable, and personalized for enterprises. We are proud to announce GLAMAS, a self-learning, autonomous AI framework that orchestrates trusted bots to execute complex business tasks with high accuracy. GLAMAS  (General Learning Agent + Multi-Agent System) allows us to build powerful solutions for our customers that manage fleets of AI bots, executing complex tasks with reliability and precision.

GLAMAS doesn’t just run a single LLM—it orchestrates self-learning, autonomous AI bots that work together to make LLMs smarter, more flexible, and consistently reliable. GLAMAS overcomes the limitations of standalone LLMs by using iterative learning, tool creation, and orchestration to deliver AI that truly works. Instead of relying on one-shot responses, GLAMAS powered bots oversee, refine, and verify the AI’s work, ensuring accuracy, consistency, and adaptability. They cross-check results, correct errors in real-time, and improve with every interaction.

Where LLM training optimizes for accuracy in modeling relationships between variables, GLAMAS optimizes for task-specific value by iteratively modifying the system to efficiently execute actions based on user objectives. 

When designing GLAMAS, we felt that speaking in a natural voice and tone is important. There's no need to master prompt engineering or babysit an AI. GLAMAS figures out the best way to ask the question, interpret the response, and refine its approach—so you get results that are trustworthy, actionable, and repeatable.

GLAMAS learns. It doesn’t just generate responses—it refines its own toolset, improving with every attempt. We call this the Task Decomposition Framework: breaking down complex tasks into actionable, repeatable steps. 

We put it to the test using industry benchmarks, comparing it to top foundational models. The results were clear:

• MATH Chain of Thought Test: A standalone LLM (LLaMA 3.1) achieved 63% accuracy.
• GLAMAS Performance: 86% accuracy on the first attempt, improving to 90% after five attempts.

Get in touch to learn more about GLAMAS. pete@strongholdlabs.io

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