Hey, I'm Renchi.
I design and ship systems across mobile, backend, and AI — connecting the pieces, defining the boundaries, and making the whole thing work.
A practical mental model for separating canonical agent state from PlannerContext, ResponseContext, and MemoryContext in production-style agentic workflows.
A practical look at where LLMs belong in agentic workflows, and why production systems separate planning, execution, rendering, memory, evaluation, and guardrails.
A practical comparison of manual tool-calling loops, OpenAI Agents SDK, and LangChain create_agent.
From wheels to whatever AI just built.