01Define the prompt-authoring brief behind aiプロンプト
For Aiプロンプト, state the subject, environment, action objective, emotional beat, and end condition in plain production language. These invariants keep general prompt planning variants comparable instead of producing unrelated ideas. Clarify the intended medium and outcome, then write subject, action, context, composition, constraints, and an observable end condition. Prefer concrete relationships over adjective lists, and separate facts from proposed visual treatment. Write the decision owner and intended handoff beside the brief so a search phrase cannot be mistaken for a verified product capability or an instruction that has already been executed. At the next gate, preserve the failure note, and ask the factual editor to record identity consent before the acceptance review.
02Apply the general prompt planning structure
Turn the phrase into a production brief with a medium, subject, action, setting, composition, ordered beats, constraints, and a reviewable end state. Separate the durable creative direction from syntax that belongs to a particular interface. This makes the prompt useful even when tools, model names, or accepted parameters change. For “aiプロンプト”, keep a visible distinction between required content, optional treatment, exclusions, and facts that need evidence. That structure gives controlled variants a stable baseline and lets a reviewer identify which instruction caused a material change. At the next gate, preserve the brief version, and ask the release approver to record visible continuity before the workflow transfer.
03Prepare authorized inputs for general creative direction
This query calls for the intended medium, audience, purpose, authorized sources, subject, action, context, constraints, reviewer, and delivery condition. Turn broad or ambiguous words into observable choices. Define one outcome, order the important decisions, remove contradictions, and keep optional style language separate from required content. Record the source, permission, intended audience, protected details, and reviewer before testing language. The goal is a traceable creative proposal, not an assumption that a named platform, model, or workspace will perform the requested action. At this stage, preserve the continuity note, and ask the brand reviewer to record destination fit before the source comparison.
04Build controlled variants and observable acceptance checks
For this owner, the first review pass should make aiプロンプト observable rather than merely decorative. Change one meaningful dimension per version and label the hypothesis, invariant details, expected difference, and rejection condition. The prompt is ready for review when every phrase changes a meaningful decision, contradictions are removed, and a second reader can describe the expected result without inventing missing context. Keep failed variants in the decision record so the final wording is explainable rather than selected by impression alone. Before delivery, preserve the continuity note, and ask the claims reviewer to record failure conditions before the rights check.
05Review authorization, safety, and changing product facts
Treat unclear product, entity, and platform references as questions. Do not invent capabilities, facts, identities, access terms, or production results to fill a gap in the query. Use only authorized source material, preserve attribution and provenance, avoid deceptive identity or factual claims, and verify any changing product or platform statement in current first-party documentation. Treat every named model, competitor, access term, platform rule, identity use, commercial claim, and output specification as a dated evidence question. If authorization or first-party support is missing, keep the language editorial, stop the handoff, and record the unresolved gap instead of inventing a workaround. For this checkpoint, preserve the brief version, and ask the factual editor to record input provenance before the acceptance review.
06Approve a reversible prompt handoff
Read the prompt once for intent, once for visual or temporal coherence, and once for rights and factual risk. Remove decorative terms that do not change an observable decision, then test controlled variants rather than rewriting every instruction at the same time. Before approving “aiプロンプト”, check purpose, source rights, identity consent, factual support, continuity, disclosure, destination requirements, and the named review owner. Preserve the original brief and version notes. This handoff supplies authored guidance only and neither runs generation nor guarantees access, quality, speed, licensing, publishing, downloads, or outcomes. For this checkpoint, preserve the input snapshot, and ask the release approver to record evidence freshness before the acceptance review.
