How this channel uses “agentic loop” In this channel's material, the agentic loop shows up as the engine behind the delegate-and-review workflow that the Every team highlights in their exploration of GPT-5.6 SOL in the newly merged ChatGPT + Codex desktop app. The idea: instead of doing a task yourself in one pass, you delegate it to an agent, and the agent works in a loop — acting, checking its own results, and continuing until the work is done. Your role shifts from doing the work to reviewing the output the loop produces. Why it matters for knowledge work The team's framing is that understanding this loop is what makes agent output dependable. When you grasp that the agent is iterating — not answering in a single shot — you can build a trust-building playbook around it: give it a task worth delegating, let the loop run, and evaluate what comes back. That is why they call GPT-5.6 SOL the gold standard for knowledge work: the workflow it supports is something you can start exploring in your own day-to-day work. - The agentic loop is the act-check-iterate cycle an agent runs when you delegate work to it.- In this channel it underpins the delegate-and-review workflow: you hand off the task, the loop runs, and you review the result.- Understanding the loop is presented as the foundation for making agent output dependable in knowledge work.