Gabriel Chua shares Codex dual-loop pattern

Integrating human-in-the-loop feedback into nested agentic loops is the key to turning reactive AI helpers into persistent, self-correcting collaborators.

• –Tight inner loops prioritize swift execution and validation, while outer loops implement meta-learning from user corrections.
• –Decoupling execution from review prevents the agent from grading its own work and enables continuous alignment.
• –This pattern transitions AI usage from one-off prompts to structured, long-term software architecture.