Machine Learning & Automation

Advanced AI Tool-Calling Workflows

Building local, privacy-centric multi-agent architectures leveraging Apple's MLX framework and custom FastAPI orchestration.

Modern enterprises want to automate complex processes like content generation, market strategy formulation, and deep research. However, relying on external third-party LLM APIs (like OpenAI) poses significant issues: high monthly costs, unpredictable latency, and the potential leakage of proprietary intellectual property.

The objective was to design a completely self-hosted, local multi-agent system capable of running complex tool-calling workflows directly on local silicon.

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