Forget copy-paste hacks. Real prompt engineering with modern LLMs is system-level reasoning, not single prompts.
Advanced workflows use:
• Meta-prompting & self-reflection – models audit their own logic.
• Nested role anchoring – layered personas for structured, stepwise responses.
• Prompt chaining & compositional prompts – complex tasks broken into logical steps.
• Conditional constraints & dynamic few-shot loops – deterministic guidance of output.
• Simulated tools & memory chaining – models act like stepwise programs.
Combine with thread-stable orchestration (anchors, drift detection, multi-horizon foresight, fail-safes), and you have deploy-ready elite prompt engineering.
This is not basic. It’s engineered reasoning designed to scale with LLMs.