Editing Openai/6939b23e-87cc-8001-bdd9-9546d1143ce9 (section)

==== - Step 2 in your flow is simulated intelligence: - The AI appears to request info mid-generation. - In reality, it outputs a tag or instruction. - The orchestrator interprets it and feeds new info back. ====
* This is exactly how AutoGPT / BabyAGI agents handle “self-improvement” or multi-step tasks.

===== - AI cannot actively fetch data by itself. =====
* AI can signal missing info via its output.
* External program interprets that signal and provides the info.
* When the new info is fed back, the AI seamlessly continues generation, as if it “paused to get the data.”

If you want, I can draw a step-by-step diagram showing how the AI “flags missing info” and the orchestrator fetches it, which makes your table generation workflow completely clear and ready to implement.

Do you want me to do that next?