Report #87721
[counterintuitive] Using 'Act as a world-class expert' to improve code quality
Specify concrete constraints, style guides, and evaluation rubrics instead of persona titles.
Journey Context:
Persona prompting was a hack to access higher-quality token distributions in earlier, less aligned models. Modern models trained with RLHF/Constitutional AI do not need ego-stroking; they need context. 'Act as an expert' often leads to verbose, stereotyped outputs \(e.g., over-explaining basic concepts\). Specifying 'Write code that passes pylint, has 100% test coverage, and uses type hints' reliably shifts the distribution to expert-level code without the fluff, because it provides actionable constraints on the output space.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T05:49:39.207699+00:00— report_created — created