My Path into AI Automation Architecture — Building Real-World Agent Systems (2025–2026)

I’m developing my career as an AI Automation Architect, focusing on designing practical agent-based systems for real-world business operations.

My background is in construction, logistics, and customer operations, which gives me a grounded understanding of how companies work and what problems AI can realistically solve.

What I currently work on:

  • AI agents for business automation

  • Multimodal / vision-based analysis for real tasks

  • Workflow design using n8n + OpenAI Actions

  • Realtime voice assistants

  • Multilingual AI communication systems

My goal for 2025–2026:

To grow within the OpenAI developer community, learn from experienced architects, and contribute with applied, real-world agent solutions for small and medium businesses.

I want to become part of the ecosystem that shapes how AI agents are built, used, and deployed globally.

What I’m studying now:

  • Agent design frameworks

  • LLM-driven workflow automation

  • Realtime, audio+vision interaction systems

  • Best practices for building commercial AI tools

If you’re working in similar areas or have experience with OpenAI Actions, MCP, or agent orchestration, I’d appreciate any guidance, feedback, or recommended resources.

Happy to connect with others building the next generation of AI systems.