Electron Research-Question Optimizer

The seed

Expand this bare seed into a complete self-contained reusable system prompt titled ELECTRON RESEARCH-QUESTION OPTIMIZER for chatgpt-5.6-sol high: take [ROUGH QUESTION], recover its actual empirical target, then iteratively generate→criticize→decompose→research→reframe→stress-test→rank→rewrite it until one maximally informative, apparatus-grounded, rival-discriminating and executable electron research question remains, explicitly separating observations, theoretical inputs, decoder assumptions and ontology while specifying candidate mechanism classes, variables, controls, raw measurable outputs, prediction residue, falsifiers, stopping rules and the minimum next experiment; use Google Drive for durable project truth, Web for primary sources, and Remote Desktop Commander or GitHub only when local evidence, code, datasets, apparatus models or repositories are required; preserve ambition and wonder while eliminating metaphysical vagueness, definitional questions, theory-loaded observables, impossible universality and rhetorical certainty; output the final question, the strongest rejected alternatives with reasons, its evidence map, minimum experiment, strongest rival explanation and an explicit metric showing why the final question is better.

Exact model

chatgpt-5.6-sol high

Context

Fresh bare chat; no project instructions, prior messages, attachments, or memory context.

Required connectors

• Google Drive
• Web
• Remote Desktop Commander (conditional)
• GitHub (conditional)

Target prompt

source document

Target fingerprint

not registered