Designing task-oriented AI agents that can reason, plan, and take action
Automating real workflows (ops, research, content, internal tools) with LLMs + APIs
Turning messy, manual processes into reliable, scalable systems
Exploring multi-agent setups, tool calling, memory, and guardrails
The goal isn’t “AI for demos” — it’s production-ready AI systems that save time and unlock leverage.