1056 lines
59 KiB
HTML
1056 lines
59 KiB
HTML
<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>剧情赛道编导 AI 对话记录分析报告</title>
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<style>
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:root {
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--bg: #f5f7fa;
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--surface: #ffffff;
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--surface-2: #f1f5f9;
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--border: #e2e8f0;
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--text: #1e293b;
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--text-2: #64748b;
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--accent: #6366f1;
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--accent-2: #4f46e5;
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--danger: #ef4444;
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--warn: #f59e0b;
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--success: #10b981;
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--info: #3b82f6;
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--pink: #ec4899;
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--teal: #14b8a6;
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}
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* { margin:0; padding:0; box-sizing:border-box; }
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body {
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background: var(--bg);
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color: var(--text);
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "PingFang SC", "Microsoft YaHei", sans-serif;
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line-height: 1.75;
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padding: 0 0 60px 0;
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}
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.container { max-width: 1100px; margin: 0 auto; padding: 0 24px; }
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/* Hero */
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.hero {
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background: linear-gradient(135deg, #eef2ff 0%, #f5f7fa 60%, #ffffff 100%);
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padding: 56px 0 48px;
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border-bottom: 1px solid var(--border);
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position: relative;
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overflow: hidden;
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}
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.hero::before {
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content: '';
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position: absolute; top: -50%; right: -10%;
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width: 500px; height: 500px;
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background: radial-gradient(circle, rgba(99,102,241,0.08) 0%, transparent 70%);
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pointer-events: none;
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}
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.hero-tag {
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display: inline-block;
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background: rgba(99,102,241,0.15);
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border: 1px solid rgba(99,102,241,0.3);
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color: var(--accent-2);
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padding: 4px 14px;
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border-radius: 20px;
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font-size: 13px;
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margin-bottom: 16px;
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}
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.hero h1 {
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font-size: 32px; font-weight: 700;
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background: linear-gradient(135deg, #1e293b 0%, #4f46e5 100%);
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-webkit-background-clip: text; -webkit-text-fill-color: transparent;
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margin-bottom: 12px;
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}
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.hero .subtitle { color: var(--text-2); font-size: 15px; }
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.hero-meta {
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display: flex; flex-wrap: wrap; gap: 24px;
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margin-top: 28px;
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}
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.hero-meta-item {
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display: flex; align-items: center; gap: 8px;
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color: var(--text-2); font-size: 14px;
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}
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.hero-meta-item strong { color: var(--text); font-size: 18px; }
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/* Section */
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.section { padding: 48px 0 0; }
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.section-header {
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display: flex; align-items: center; gap: 12px;
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margin-bottom: 28px;
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}
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.section-num {
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flex-shrink: 0;
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width: 36px; height: 36px;
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background: var(--accent);
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border-radius: 10px;
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display: flex; align-items: center; justify-content: center;
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font-size: 16px; font-weight: 700;
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color: #fff;
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}
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.section-title { font-size: 22px; font-weight: 700; }
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.section-desc { color: var(--text-2); font-size: 14px; margin-top: 4px; }
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/* Stat Cards */
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.stat-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 16px;
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margin-bottom: 8px;
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}
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.stat-card {
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background: var(--surface);
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border: 1px solid var(--border);
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border-radius: 14px;
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padding: 20px;
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transition: border-color .2s;
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}
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.stat-card:hover { border-color: var(--accent); }
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.stat-card .label { color: var(--text-2); font-size: 13px; margin-bottom: 8px; }
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.stat-card .value { font-size: 28px; font-weight: 700; }
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.stat-card .sub { color: var(--text-2); font-size: 12px; margin-top: 6px; }
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/* Problem Block */
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.problem-block {
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background: var(--surface);
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border: 1px solid var(--border);
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border-radius: 14px;
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padding: 28px;
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margin-bottom: 24px;
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border-left: 4px solid var(--danger);
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}
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.problem-block.warn { border-left-color: var(--warn); }
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.problem-block.info { border-left-color: var(--info); }
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.problem-block.pink { border-left-color: var(--pink); }
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.problem-block.teal { border-left-color: var(--teal); }
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.problem-header {
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display: flex; align-items: flex-start; gap: 12px;
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margin-bottom: 16px;
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}
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.problem-icon {
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flex-shrink: 0;
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width: 32px; height: 32px;
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border-radius: 8px;
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display: flex; align-items: center; justify-content: center;
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font-size: 16px;
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}
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.problem-icon.danger { background: rgba(239,68,68,0.15); }
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.problem-icon.warn { background: rgba(245,158,11,0.15); }
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.problem-icon.info { background: rgba(59,130,246,0.15); }
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.problem-icon.pink { background: rgba(236,72,153,0.15); }
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.problem-icon.teal { background: rgba(20,184,166,0.15); }
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.problem-title { font-size: 17px; font-weight: 600; margin-bottom: 4px; }
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.problem-severity {
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display: inline-block;
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font-size: 11px; padding: 2px 8px;
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border-radius: 4px;
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margin-left: 8px;
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vertical-align: middle;
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}
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.sev-high { background: rgba(239,68,68,0.15); color: #dc2626; }
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.sev-mid { background: rgba(245,158,11,0.15); color: #d97706; }
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.sev-low { background: rgba(59,130,246,0.15); color: #2563eb; }
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.problem-body { color: var(--text-2); font-size: 14px; }
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.problem-body p { margin-bottom: 10px; }
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.problem-body strong { color: var(--text); }
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/* Evidence */
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.evidence {
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background: var(--surface-2);
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border-radius: 10px;
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padding: 16px;
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margin: 12px 0;
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border: 1px solid var(--border);
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}
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.evidence-tag {
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display: inline-block;
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font-size: 12px;
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color: var(--text-2);
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margin-bottom: 8px;
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}
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.evidence-tag .session { color: var(--accent-2); font-weight: 600; }
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.evidence-quote {
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color: var(--text);
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font-size: 14px;
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padding: 8px 12px;
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border-left: 3px solid var(--accent);
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background: rgba(99,102,241,0.06);
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border-radius: 0 6px 6px 0;
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margin: 6px 0;
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}
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.evidence-quote.director { border-left-color: var(--text-2); background: rgba(107,114,128,0.06); }
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.evidence-quote.ai { border-left-color: var(--info); background: rgba(59,130,246,0.06); }
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.evidence-analysis {
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color: var(--text-2);
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font-size: 13px;
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margin-top: 8px;
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}
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/* Table */
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.data-table {
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width: 100%;
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border-collapse: collapse;
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margin: 16px 0;
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font-size: 13px;
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}
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.data-table th {
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background: var(--surface-2);
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color: var(--text);
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padding: 10px 14px;
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text-align: left;
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font-weight: 600;
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border-bottom: 2px solid var(--border);
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}
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.data-table td {
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padding: 10px 14px;
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border-bottom: 1px solid var(--border);
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color: var(--text-2);
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}
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.data-table tr:hover td { background: rgba(99,102,241,0.03); }
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.data-table .num { color: var(--accent-2); font-weight: 600; }
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/* Bar */
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.bar-chart { margin: 16px 0; }
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.bar-row {
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display: flex; align-items: center; gap: 12px;
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margin-bottom: 10px;
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}
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.bar-label { width: 120px; font-size: 13px; color: var(--text-2); text-align: right; flex-shrink: 0; }
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.bar-track { flex: 1; height: 24px; background: var(--surface-2); border-radius: 6px; overflow: hidden; }
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.bar-fill {
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height: 100%; border-radius: 6px;
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display: flex; align-items: center; justify-content: flex-end;
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padding-right: 8px;
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font-size: 12px; font-weight: 600; color: #fff;
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transition: width .6s ease;
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}
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/* Comparison */
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.compare-grid {
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 16px;
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margin: 16px 0;
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}
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.compare-card {
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border-radius: 12px;
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padding: 20px;
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border: 1px solid var(--border);
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}
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.compare-card.bad { background: rgba(239,68,68,0.03); border-color: rgba(239,68,68,0.15); }
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.compare-card.good { background: rgba(16,185,129,0.03); border-color: rgba(16,185,129,0.15); }
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.compare-card h4 { font-size: 14px; margin-bottom: 10px; display: flex; align-items: center; gap: 6px; }
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.compare-card.bad h4 { color: #dc2626; }
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.compare-card.good h4 { color: #059669; }
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.compare-card ul { list-style: none; }
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.compare-card li {
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font-size: 13px; color: var(--text-2);
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padding: 4px 0 4px 16px;
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position: relative;
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}
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.compare-card.bad li::before { content: '✕'; position: absolute; left: 0; color: #dc2626; }
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.compare-card.good li::before { content: '✓'; position: absolute; left: 0; color: #059669; }
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/* Suggestion */
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.suggestion-block {
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background: linear-gradient(135deg, rgba(99,102,241,0.04), rgba(20,184,166,0.04));
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border: 1px solid var(--border);
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border-radius: 14px;
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padding: 28px;
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margin-bottom: 16px;
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}
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.suggestion-block h4 {
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font-size: 16px; font-weight: 600;
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margin-bottom: 12px;
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color: var(--accent-2);
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}
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.suggestion-block p { color: var(--text-2); font-size: 14px; margin-bottom: 8px; }
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.suggestion-block .priority {
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display: inline-block; font-size: 11px;
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padding: 2px 8px; border-radius: 4px;
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margin-left: 8px; vertical-align: middle;
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|||
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}
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.p0 { background: rgba(239,68,68,0.15); color: #dc2626; }
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.p1 { background: rgba(245,158,11,0.15); color: #d97706; }
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.p2 { background: rgba(59,130,246,0.15); color: #2563eb; }
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|||
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|||
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/* Summary box */
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|||
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.summary-box {
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background: var(--surface);
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|||
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border: 1px solid var(--border);
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|||
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border-radius: 14px;
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|||
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padding: 24px;
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|||
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margin: 20px 0;
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|||
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}
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|||
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.summary-box h4 { font-size: 15px; margin-bottom: 12px; color: var(--accent-2); }
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|||
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.summary-box p { color: var(--text-2); font-size: 14px; margin-bottom: 8px; }
|
|||
|
|
|
|||
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/* Flow */
|
|||
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.flow-diagram {
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|||
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|
display: flex; align-items: center; justify-content: center;
|
|||
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gap: 0; flex-wrap: wrap;
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|||
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margin: 24px 0;
|
|||
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}
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|||
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.flow-node {
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|||
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background: var(--surface-2);
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|||
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border: 1px solid var(--border);
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|||
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|
border-radius: 10px;
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|||
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|
padding: 12px 20px;
|
|||
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|
font-size: 13px;
|
|||
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text-align: center;
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|||
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min-width: 100px;
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|||
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}
|
|||
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|
.flow-node.problem { border-color: rgba(239,68,68,0.2); background: rgba(239,68,68,0.04); }
|
|||
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|
.flow-arrow { color: var(--text-2); margin: 0 8px; font-size: 18px; }
|
|||
|
|
|
|||
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/* Tag */
|
|||
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|
.tag {
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|||
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|
display: inline-block;
|
|||
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|
padding: 2px 10px;
|
|||
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|
border-radius: 4px;
|
|||
|
|
font-size: 12px;
|
|||
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margin: 2px 4px 2px 0;
|
|||
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}
|
|||
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.tag.red { background: rgba(239,68,68,0.15); color: #dc2626; }
|
|||
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|
.tag.yellow { background: rgba(245,158,11,0.15); color: #d97706; }
|
|||
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|
.tag.blue { background: rgba(59,130,246,0.15); color: #2563eb; }
|
|||
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.tag.green { background: rgba(16,185,129,0.15); color: #059669; }
|
|||
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|
.tag.purple { background: rgba(99,102,241,0.15); color: #4f46e5; }
|
|||
|
|
.tag.pink { background: rgba(236,72,153,0.15); color: #db2777; }
|
|||
|
|
|
|||
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|
/* Divider */
|
|||
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|
.divider {
|
|||
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|
height: 1px;
|
|||
|
|
background: var(--border);
|
|||
|
|
margin: 40px 0 0;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/* Footer */
|
|||
|
|
.footer {
|
|||
|
|
text-align: center;
|
|||
|
|
color: var(--text-2);
|
|||
|
|
font-size: 13px;
|
|||
|
|
padding: 40px 0 0;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@media (max-width: 768px) {
|
|||
|
|
.compare-grid { grid-template-columns: 1fr; }
|
|||
|
|
.hero h1 { font-size: 24px; }
|
|||
|
|
.section-title { font-size: 18px; }
|
|||
|
|
}
|
|||
|
|
</style>
|
|||
|
|
</head>
|
|||
|
|
<body>
|
|||
|
|
|
|||
|
|
<!-- Hero -->
|
|||
|
|
<div class="hero">
|
|||
|
|
<div class="container">
|
|||
|
|
<span class="hero-tag">剧情赛道 · 编导视角</span>
|
|||
|
|
<h1>剧情赛道编导 AI 对话记录分析报告</h1>
|
|||
|
|
<p class="subtitle">基于 34 条对话记录、16 个会话的深度内容分析,聚焦编导反馈的三大核心问题与生成内容质量</p>
|
|||
|
|
<div class="hero-meta">
|
|||
|
|
<div class="hero-meta-item"><strong>34</strong> 条对话记录</div>
|
|||
|
|
<div class="hero-meta-item"><strong>16</strong> 个会话</div>
|
|||
|
|
<div class="hero-meta-item"><strong>2</strong> 位编导(丁丁·香香)</div>
|
|||
|
|
<div class="hero-meta-item"><strong>2026/7/27 - 8/3</strong> 时间跨度</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="container">
|
|||
|
|
|
|||
|
|
<!-- ========== 一、数据概览 ========== -->
|
|||
|
|
<div class="section">
|
|||
|
|
<div class="section-header">
|
|||
|
|
<div class="section-num">1</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="section-title">数据概览</div>
|
|||
|
|
<div class="section-desc">对话记录的基础统计与分布</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="stat-grid">
|
|||
|
|
<div class="stat-card">
|
|||
|
|
<div class="label">总记录数</div>
|
|||
|
|
<div class="value">34</div>
|
|||
|
|
<div class="sub">覆盖 16 个独立会话</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="stat-card">
|
|||
|
|
<div class="label">编导人数</div>
|
|||
|
|
<div class="value">2</div>
|
|||
|
|
<div class="sub">丁丁 17 条 / 香香 17 条</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="stat-card">
|
|||
|
|
<div class="label">平均轮次</div>
|
|||
|
|
<div class="value">2.1</div>
|
|||
|
|
<div class="sub">每个会话平均对话轮次</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="stat-card">
|
|||
|
|
<div class="label">修改率</div>
|
|||
|
|
<div class="value">47%</div>
|
|||
|
|
<div class="sub">16个会话中 7 个出现修改/重做</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div style="margin-top: 24px;">
|
|||
|
|
<h4 style="font-size:15px; margin-bottom:12px; color:var(--text);">技能使用分布</h4>
|
|||
|
|
<div class="bar-chart">
|
|||
|
|
<div class="bar-row">
|
|||
|
|
<div class="bar-label">创意灵感</div>
|
|||
|
|
<div class="bar-track"><div class="bar-fill" style="width:76%; background:var(--accent);">26条 (76%)</div></div>
|
|||
|
|
</div>
|
|||
|
|
<div class="bar-row">
|
|||
|
|
<div class="bar-label">脚本创作</div>
|
|||
|
|
<div class="bar-track"><div class="bar-fill" style="width:15%; background:var(--teal);">5条 (15%)</div></div>
|
|||
|
|
</div>
|
|||
|
|
<div class="bar-row">
|
|||
|
|
<div class="bar-label">短视频创意</div>
|
|||
|
|
<div class="bar-track"><div class="bar-fill" style="width:9%; background:var(--pink);">3条 (9%)</div></div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div style="margin-top: 20px;">
|
|||
|
|
<h4 style="font-size:15px; margin-bottom:12px; color:var(--text);">编导反馈类型统计</h4>
|
|||
|
|
<table class="data-table">
|
|||
|
|
<thead>
|
|||
|
|
<tr><th>反馈类型</th><th>出现次数</th><th>涉及会话</th><th>严重程度</th></tr>
|
|||
|
|
</thead>
|
|||
|
|
<tbody>
|
|||
|
|
<tr><td>要求加事件 / 爆发性事件</td><td class="num">4</td><td>61723, 59126, 59929, 61599</td><td><span class="tag red">高频</span></td></tr>
|
|||
|
|
<tr><td>方向跑偏 / 重新来</td><td class="num">5</td><td>59926, 59929, 60097, 60722, 61304</td><td><span class="tag red">高频</span></td></tr>
|
|||
|
|
<tr><td>情感不够 / 反转不够强</td><td class="num">3</td><td>59126, 59929, 59592</td><td><span class="tag yellow">中频</span></td></tr>
|
|||
|
|
<tr><td>内容空洞 / 意象化过度</td><td class="num">2</td><td>59929, 59926</td><td><span class="tag yellow">中频</span></td></tr>
|
|||
|
|
<tr><td>要求贴近现实</td><td class="num">3</td><td>60097, 59926, 60722</td><td><span class="tag blue">低频</span></td></tr>
|
|||
|
|
<tr><td>要求更详细 / 完整梗概</td><td class="num">3</td><td>59824, 59929, 59958</td><td><span class="tag blue">低频</span></td></tr>
|
|||
|
|
</tbody>
|
|||
|
|
</table>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="divider"></div>
|
|||
|
|
|
|||
|
|
<!-- ========== 二、编导反馈三大核心问题 ========== -->
|
|||
|
|
<div class="section">
|
|||
|
|
<div class="section-header">
|
|||
|
|
<div class="section-num">2</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="section-title">编导反馈三大核心问题</div>
|
|||
|
|
<div class="section-desc">编导明确指出的 AI 生成脚本核心缺陷</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 问题一:事件堆砌 -->
|
|||
|
|
<div class="problem-block">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon danger">01</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">事件的堆砌 <span class="problem-severity sev-high">严重 · P0</span></div>
|
|||
|
|
<div class="problem-body">AI 习惯用"加事件"代替"加情绪",导致脚本变成事件清单而非情感故事</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<p><strong>核心表现:</strong>当编导要求"加强内容"时,AI 的第一反应是堆叠更多事件,而非在现有事件中深挖情绪层次和情感递进。编导需要的是<strong>情绪的铺垫与递进</strong>,AI 给的却是<strong>事件的数量与密度</strong>。</p>
|
|||
|
|
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话61723</span> · 对话456897~457049 · 香香 · 短视频创意</div>
|
|||
|
|
<div class="evidence-quote director">「男生自我感动 没钱还要给女生花全部的钱…帮我围绕这个写一个大纲,肯定还要加事件进去,加一些极致事件」</div>
|
|||
|
|
<div class="evidence-quote ai">AI 生成:4个事件(硬撑排场 / 翻旧账 / 借钱买包 / 分手控诉)</div>
|
|||
|
|
<div class="evidence-quote director">「再来几个事件」</div>
|
|||
|
|
<div class="evidence-quote ai">AI 生成:又补充7个事件(退药买护肤品 / 朋友圈卖惨 / 借钱生日 / 房租买礼物 / 放弃工作机会 / 退礼崩溃 / 点外卖…)</div>
|
|||
|
|
<div class="evidence-quote director">「还是不够 爆发性事件」</div>
|
|||
|
|
<div class="evidence-quote ai">AI 生成:再补充5个爆发性事件(公司楼下摆蜡烛 / 发烧卖惨 / 父母饭局翻账单 / 婚礼抢麦 / 甩转账记录)</div>
|
|||
|
|
<div class="evidence-analysis">
|
|||
|
|
<strong>分析:</strong>三轮迭代中,AI 共生成 <strong>16个事件</strong>,但编导始终不满意。问题核心不在于事件数量,而在于:① 每个事件都是独立罗列,缺少情绪递进逻辑;② 事件之间没有情感层次的升阶(从委屈→窒息→崩溃→逃离);③ 编导说"还是不够"时,实际需要的是"更深"而非"更多",但 AI 只在"更多"维度上响应。
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59126</span> · 对话443710 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「你这些反转没有这个电影那么强烈,主要是情感有点弱,再来几个选题,其实主要就是强反转」</div>
|
|||
|
|
<div class="evidence-analysis">
|
|||
|
|
<strong>分析:</strong>编导明确指出"情感有点弱",但 AI 的回应是"再来几个选题"(增加数量),而非"深化现有选题的情感层次"。AI 将"情感弱"理解为"反转不够猛",于是用更极端的设定(阿尔茨海默症/ICU抢救/灵魂交易)来加强冲击,但编导真正需要的是<strong>情感铺垫的厚度</strong>,而非设定的烈度。
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59929</span> · 对话447802 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「我觉得你现在的选题太过于去注重蒙太奇和意象化了,内容看起来空空的,你再认真想想,我要3个完整的故事梗概」</div>
|
|||
|
|
<div class="evidence-analysis">
|
|||
|
|
<strong>分析:</strong>"内容空空的"是对事件堆砌最精准的概括——AI 用华丽的意象和蒙太奇包装事件,但事件之间缺少有机的情感连接,导致看起来"什么都写了"但"什么都没感受到"。
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 问题二:缺少情绪铺垫和情感表达 -->
|
|||
|
|
<div class="problem-block warn">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon warn">02</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">缺少情绪的铺垫和情感表达 <span class="problem-severity sev-high">严重 · P0</span></div>
|
|||
|
|
<div class="problem-body">AI 擅长描述"发生了什么",但不会写"角色感受到了什么"以及"观众应该感受到什么"</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<p><strong>核心表现:</strong>AI 生成的脚本中,事件与事件之间缺少情绪过渡,角色的心理变化往往是"旁白直述"而非"行为暗示"。编导需要的情绪铺垫是指——在反转到来之前,通过日常细节、微表情、小动作让观众<strong>不自觉地建立情感投入</strong>,而不是在反转时用旁白告诉观众"你应该哭了"。</p>
|
|||
|
|
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59126</span> · 对话443696~443799 · 丁丁 · 创意灵感 · 4轮迭代</div>
|
|||
|
|
<div class="evidence-quote director">「我想做一个类似电影《开心家族》《我左眼见到鬼》的故事,强设定,强噱头,甚至有点超现实来吸引观众,一直引导观众,然后反转的那一下才会给观众一种震撼感,而且是情感类型的」</div>
|
|||
|
|
<div class="evidence-quote ai">AI 第一轮:3个选题,每个都用大段文字描述设定和反转,但<strong>反转前的情绪铺垫只有设定说明</strong>,没有"观众如何被引导产生情感投入"的具体设计</div>
|
|||
|
|
<div class="evidence-quote director">「你这些反转没有这个电影那么强烈,主要是情感有点弱」</div>
|
|||
|
|
<div class="evidence-analysis">
|
|||
|
|
<strong>分析:</strong>编导在第一轮就明确了需求——"一直引导观众"+"反转震撼感"+"情感类型"。但 AI 的选题中,"引导"变成了"设定说明","震撼感"变成了"设定反转"。真正的情绪铺垫应该是:让观众在不知情的情况下,对角色产生好感/同情/好奇,然后反转撕开这一切。AI 缺少的正是<strong>让观众产生情感投入的前置铺垫</strong>。
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59824</span> · 对话447756 · 香香 · 脚本创作</div>
|
|||
|
|
<div class="evidence-quote director">「给我修改优化一下每一集,做一些修改,不要太一样,要看得出来改了的」</div>
|
|||
|
|
<div class="evidence-quote ai">AI 回复中暴露了 <code><think></code> 标签,直接询问编导:"您是希望在情节上挖掘更多原剧的隐藏细节,还是在文案风格上做大幅度调整?"</div>
|
|||
|
|
<div class="evidence-analysis">
|
|||
|
|
<strong>分析:</strong>当编导提出模糊的优化需求时,AI 没有主动判断"情感表达不够"这一核心问题,而是将修改方向抛回给编导。这说明 AI <strong>缺乏对"脚本情感质量"的自主判断能力</strong>,无法识别"情绪铺垫不足"这一隐含问题。
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59592</span> · 对话446058~446329 · 丁丁 · 脚本创作</div>
|
|||
|
|
<div class="evidence-quote director">「前面出现的形象都是年轻人,但可以铺一些小点暗示,比如有点老年人的一些体现,走路慢,爱跳广场舞…但不要太明显…结尾男主想起来…女主却说'傻瓜,我们都陪伴彼此五十年了'」</div>
|
|||
|
|
<div class="evidence-analysis">
|
|||
|
|
<strong>分析:</strong>编导在这里手把手教 AI 如何做情绪铺垫——通过"走路慢""扶膝盖""跟广场舞节奏"等<strong>行为细节</strong>暗示真相,而非直接说明。这恰恰说明 AI 默认不会主动设计这种"暗示性铺垫",需要编导逐条指定。
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 问题三:不会运用闪回 -->
|
|||
|
|
<div class="problem-block info">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon info">03</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">不会运用闪回 <span class="problem-severity sev-high">严重 · P0</span></div>
|
|||
|
|
<div class="problem-body">AI 缺乏对"闪回"这一关键叙事手法的理解和运用能力</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<p><strong>核心表现:</strong>闪回是剧情赛道的核心叙事手法之一——通过在关键时刻插入过去的画面,制造信息差和情感冲击。但 AI 生成的脚本中,"闪回"往往变成了"直接切到回忆段落"或"旁白说明过去发生了什么",缺少闪回应有的<strong>时机选择、画面衔接、情绪触发点</strong>设计。</p>
|
|||
|
|
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59126</span> · 对话443723 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「你还可以根据这条对标视频思考一下,最后那一下也很催人泪下」</div>
|
|||
|
|
<div class="evidence-quote ai">AI 分析对标视频后提取公式:「童年谎言 / 荒诞设定 → 被主角记恨一生 → 成年后跌入绝境 → 谎言以另一种方式成真 → 主角从"你又骗我"变成"你没骗我"」</div>
|
|||
|
|
<div class="evidence-analysis">
|
|||
|
|
<strong>分析:</strong>AI 成功提取了情感公式,但在后续生成脚本时,公式的执行仍是<strong>线性叙述</strong>——先讲前期、再讲后期、最后反转。缺少真正的闪回手法:即在当前时间线中突然插入过去某个细节画面,让观众瞬间"串联"起所有线索。对标视频中"妈妈说穿越"→"儿子临终喊妈"→"妈妈真的出现"的闪回式剪辑,AI 无法复刻。
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59592</span> · 对话446058~446329 · 丁丁 · 脚本创作</div>
|
|||
|
|
<div class="evidence-quote director">「结尾男主想起来眼前这个女主是自己的老婆后,很愧疚…女主却说'傻瓜,我们都陪伴彼此五十年了',男主再看向镜子,镜子里是苍老的自己」</div>
|
|||
|
|
<div class="evidence-analysis">
|
|||
|
|
<strong>分析:</strong>编导设计的"看镜子→看到老年自己"是一个典型的<strong>视觉闪回触发点</strong>——通过一个物理动作(看镜子)触发认知反转。AI 在生成时虽然照做了,但前期的"暗示铺垫"(走路慢/广场舞/扶膝盖)与结尾的"镜子闪回"之间缺少有机的<strong>因果链</strong>,暗示变成了散落的细节而非层层递进的闪回伏笔。
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59958</span> · 对话447913 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「把这个视频的完整脚本以文本格式发给我」</div>
|
|||
|
|
<div class="evidence-analysis">
|
|||
|
|
<strong>分析:</strong>编导要求 AI 提取对标视频的完整脚本,其中包含多处回忆闪回段落("白光闪回-三年前回忆")。这说明编导在<strong>主动给 AI 提供闪回的参考样本</strong>,侧面反映 AI 自身不会主动运用这一手法。
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="summary-box" style="margin-top: 20px;">
|
|||
|
|
<h4>闪回运用问题总结</h4>
|
|||
|
|
<p><strong>1. 不会选时机:</strong>AI 不知道在剧情的哪个节点插入闪回最有冲击力,往往在开头就交代完前史,消解了悬念。</p>
|
|||
|
|
<p><strong>2. 不会做衔接:</strong>闪回与当前时间线之间缺少"触发物"设计(如一首歌、一个物件、一句话),切换生硬。</p>
|
|||
|
|
<p><strong>3. 不会埋伏笔:</strong>闪回的内容应该与前期"看似无关"的细节形成呼应,但 AI 的前后内容往往是割裂的。</p>
|
|||
|
|
<p><strong>4. 不会控节奏:</strong>闪回应有"短-闪-回"的节奏感(短暂插入→制造冲击→快速回到现在),AI 往往写成长段落回忆。</p>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="divider"></div>
|
|||
|
|
|
|||
|
|
<!-- ========== 三、之前7个维度分析 ========== -->
|
|||
|
|
<div class="section">
|
|||
|
|
<div class="section-header">
|
|||
|
|
<div class="section-num">3</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="section-title">七大维度问题分析</div>
|
|||
|
|
<div class="section-desc">延续之前的分析框架,结合本次数据验证各维度问题</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 维度1 -->
|
|||
|
|
<div class="problem-block teal">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon teal">A</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">骨架没搭好 <span class="problem-severity sev-high">高频 · P0</span></div>
|
|||
|
|
<div class="problem-body">AI 习惯给"点子"而非"故事",缺少完整的三幕式/起承转合结构</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59929</span> · 对话447794 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「为啥每个都在致敬电影呢?而且我没看到一个具体的故事框架梗概,重新给我十个」</div>
|
|||
|
|
<div class="evidence-analysis">AI 给出的10个选题只有"核心设定+情绪基调+致敬梗",没有完整的故事起承转合。编导明确要求"具体的故事框架梗概"。</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59929</span> · 对话447802 · 丁丁 · 创意灵感 · 第三轮</div>
|
|||
|
|
<div class="evidence-quote director">「我要3个完整的故事梗概」</div>
|
|||
|
|
<div class="evidence-analysis">编导三次要求后,AI 才给出包含"开场钩子→悬念铺陈→情绪谷底→直球破局→收尾"的完整结构。说明 AI 默认输出是"灵感碎片"而非"完整故事"。</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话61599</span> · 对话456248 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「给我十个选题」→(AI给10个)→ 未继续(可能不满意但未明确反馈)</div>
|
|||
|
|
<div class="evidence-analysis">AI 给出的10个选题格式高度统一(核心设定+剧情脉络+适配亮点),但每个都只有1-2句话的故事线,缺少可执行的结构骨架。</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 维度2 -->
|
|||
|
|
<div class="problem-block pink">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon pink">B</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">画面不到位 <span class="problem-severity sev-mid">中频 · P1</span></div>
|
|||
|
|
<div class="problem-body">AI 过度依赖意象化描述,缺少可拍摄的具体画面</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59929</span> · 对话447802 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「太过于注重蒙太奇和意象化了,内容看起来空空的」</div>
|
|||
|
|
<div class="evidence-analysis">AI 大量使用"秒针逆行的机械表""雨滴悬停""拼图变成黑洞"等意象化描述,这些画面<strong>难以实际拍摄</strong>且<strong>喧宾夺主</strong>,掩盖了故事本身的情感力量。</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59929</span> · 对话447794~447802 · 丁丁 · 创意灵感 · 第二轮修复后</div>
|
|||
|
|
<div class="evidence-analysis">AI 修正后给出的选题(如"永远跳17度的空调遥控器")画面感显著提升——"男主裹着两件羽绒服""女孩扛着维修工具箱站在门口"等都是可拍摄的真实场景。说明 AI 有能力做到,但默认倾向于意象化。</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 维度3 -->
|
|||
|
|
<div class="problem-block warn">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon warn">C</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">语气不对 <span class="problem-severity sev-mid">中频 · P1</span></div>
|
|||
|
|
<div class="problem-body">AI 无法根据账号风格调整语气,且暴露内部思考过程</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59824</span> · 对话447756 · 香香 · 脚本创作</div>
|
|||
|
|
<div class="evidence-quote ai">AI 回复中直接暴露 <code><think></code> 标签内容:「我将优化《青春时代》第一季分集梗概…第2集的改编思路已经确定…」</div>
|
|||
|
|
<div class="evidence-analysis">AI 将内部思考过程直接输出给编导,严重破坏了专业感和对话体验。编导不需要看到 AI 的"思考笔记",需要的是直接给出优化结果。</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话61304</span> · 对话456412 · 香香 · 脚本创作</div>
|
|||
|
|
<div class="evidence-quote director">「写个渣男本」</div>
|
|||
|
|
<div class="evidence-analysis">编导从 INFP 高敏感脚本转向"渣男本",语气差异极大。AI 虽然完成了任务,但脚本中渣男台词的<strong>口语化程度和真实感</strong>仍有差距——部分台词过于书面化(如"你为什么总要把这些话说出来"不够口语)。</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 维度4 -->
|
|||
|
|
<div class="problem-block">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon danger">D</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">方向跑偏 <span class="problem-severity sev-high">高频 · P0</span></div>
|
|||
|
|
<div class="problem-body">AI 对编导需求的初始理解偏差大,导致第一轮输出就被否</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<div style="display:grid; grid-template-columns:1fr 1fr; gap:12px; margin:12px 0;">
|
|||
|
|
<div class="evidence" style="margin:0;">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59926</span> · 对话447776 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「太玄幻了,重新来」</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence" style="margin:0;">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话60097</span> · 对话448639 · 香香 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「贴近现实一点的吧,不想做年代太久远的」</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence" style="margin:0;">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话60722</span> · 对话451535 · 香香 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「重新来,我不要旧梦的,现在是一个全新的账号,不要第一视角,是第三视角」</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence" style="margin:0;">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59929</span> · 对话447794 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「为啥每个都在致敬电影呢?」</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<p><strong>方向跑偏模式分析:</strong></p>
|
|||
|
|
<p>① <strong>过度设定:</strong>AI 默认往奇幻/玄幻/超现实方向走(会话59926第一轮10个选题全部含超自然元素)</p>
|
|||
|
|
<p>② <strong>过度致敬:</strong>AI 默认每个选题都绑定电影致敬梗(会话59929第一轮10个选题全部致敬电影)</p>
|
|||
|
|
<p>③ <strong>不读上下文:</strong>编导明确说"全新账号""第三视角",说明 AI 没有从对话中提取关键约束</p>
|
|||
|
|
<p>④ <strong>年代偏差:</strong>AI 倾向于写年代久远的故事(电报、1987年),而非当下生活</p>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 维度5 -->
|
|||
|
|
<div class="problem-block info">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon info">E</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">节奏不对 <span class="problem-severity sev-mid">中频 · P1</span></div>
|
|||
|
|
<div class="problem-body">AI 生成的脚本节奏平淡,缺少"张-弛-张"的情绪曲线</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话61723</span> · 对话456897~457049 · 香香 · 短视频创意</div>
|
|||
|
|
<div class="evidence-analysis">编导连续3轮要求"加事件""爆发性事件",本质上是脚本<strong>节奏太平</strong>——AI 生成的事件都是同一情绪强度(男主委屈→女生无奈),缺少情绪递进(应从日常小摩擦→逐步升级→爆发高潮)。</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59126</span> · 对话443710 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-analysis">编导要求"强反转",但 AI 的反转设计缺少<strong>前期松→后期紧</strong>的节奏对比。前期铺垫过长且信息密度低,反转来得太突然,缺少"渐渐不对劲"的递进感。</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 维度6 -->
|
|||
|
|
<div class="problem-block teal">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon teal">F</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">故事讲不通 <span class="problem-severity sev-mid">中频 · P1</span></div>
|
|||
|
|
<div class="problem-body">AI 生成的部分脚本逻辑链断裂,前后因果不成立</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59929</span> · 对话447802 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「内容看起来空空的」</div>
|
|||
|
|
<div class="evidence-analysis">AI 第一轮选题如"倒转的烟花""不过期的凤梨罐头""悬停的雨滴"等,虽然意象优美,但<strong>故事逻辑链不完整</strong>——角色为什么会有这些幻觉?幻觉破碎后的情感落点是什么?这些核心问题都没有回答。</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59592</span> · 对话446329 · 丁丁 · 脚本创作 · 第二轮</div>
|
|||
|
|
<div class="evidence-analysis">AI 第一轮生成的脚本大纲有16个节奏点,但<strong>"驱赶篇"→"搭讪篇"→"挑逗篇"之间的逻辑跳跃明显</strong>——男主刚把女主赶走,下一秒又自然搭话,缺少合理的心理过渡。</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 维度7 -->
|
|||
|
|
<div class="problem-block pink">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon pink">G</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">AI 处理复杂意图不全面 <span class="problem-severity sev-high">高频 · P0</span></div>
|
|||
|
|
<div class="problem-body">AI 无法理解编导的复合型需求,将复杂意图简化为单一任务</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59126</span> · 对话443696 · 丁丁 · 创意灵感</div>
|
|||
|
|
<div class="evidence-quote director">「强设定,强噱头,甚至有点超现实来吸引观众,一直引导观众,然后反转的那一下才会给观众一种震撼感,而且是情感类型的,最后观众看完就是又很意外,又很感动」</div>
|
|||
|
|
<div class="evidence-analysis">编导在一个需求中包含了 <strong>5个维度</strong>:①强设定 ②超现实噱头 ③观众引导 ④反转震撼 ⑤情感感动。AI 只响应了①②④(给强设定+超现实元素+反转设计),忽略了③(如何引导观众)和⑤(如何让观众感动)。这是典型的"只做显性需求,忽略隐性需求"。</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59824</span> · 对话447756 · 香香 · 脚本创作</div>
|
|||
|
|
<div class="evidence-quote director">「给我修改优化一下每一集,做一些修改,不要太一样,要看得出来改了的」</div>
|
|||
|
|
<div class="evidence-quote ai">AI 直接反问编导:"您是希望在情节上挖掘更多原剧的隐藏细节,还是在文案风格上做大幅度调整?"</div>
|
|||
|
|
<div class="evidence-analysis">编导的需求是"优化+做出差异+看得出来改了",这是一个<strong>复合型创意需求</strong>,需要 AI 自主判断优化方向。但 AI 把决策权抛回给编导,说明它<strong>无法处理模糊但带有明确方向性的创作指令</strong>。</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59592</span> · 对话446058~446329 · 丁丁 · 脚本创作</div>
|
|||
|
|
<div class="evidence-analysis">编导的需求极为详细(老年暗示+反转点+镜子设计+台词),但 AI 第一轮生成时仍然自拟结构"以下为无框架参考时的自拟结构",说明 AI <strong>没有完全遵循编导的详细指定</strong>,仍然按自己的默认框架生成。</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="divider"></div>
|
|||
|
|
|
|||
|
|
<!-- ========== 四、生成内容深度分析 ========== -->
|
|||
|
|
<div class="section">
|
|||
|
|
<div class="section-header">
|
|||
|
|
<div class="section-num">4</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="section-title">生成内容深度分析</div>
|
|||
|
|
<div class="section-desc">从内容质量、叙事手法、情感设计三个维度分析 AI 生成脚本的问题</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 4.1 内容质量 -->
|
|||
|
|
<div class="problem-block">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon danger">4.1</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">内容质量:格式化倾向严重,缺乏个性化</div>
|
|||
|
|
<div class="problem-body">AI 生成的选题/脚本格式高度统一,不同编导、不同账号得到的输出结构几乎一致</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<div class="compare-grid">
|
|||
|
|
<div class="compare-card bad">
|
|||
|
|
<h4>AI 默认输出模式</h4>
|
|||
|
|
<ul>
|
|||
|
|
<li>选题格式固定:核心设定 + 情绪基调 + 剧情脉络 + 适配亮点</li>
|
|||
|
|
<li>每个选题长度几乎一致(200-300字)</li>
|
|||
|
|
<li>不同编导的选题风格无差异(丁丁要强反转,香香要纪实,AI 给的格式一样)</li>
|
|||
|
|
<li>过度使用"核心意象+蒙太奇"模板</li>
|
|||
|
|
<li>每个选题都强行绑定"致敬梗"</li>
|
|||
|
|
</ul>
|
|||
|
|
</div>
|
|||
|
|
<div class="compare-card good">
|
|||
|
|
<h4>编导期望的模式</h4>
|
|||
|
|
<ul>
|
|||
|
|
<li>根据账号风格调整选题结构(强反转 vs 纪实 vs 话题向)</li>
|
|||
|
|
<li>给出完整故事梗概而非灵感碎片</li>
|
|||
|
|
<li>画面可执行、情绪可感知、节奏有起伏</li>
|
|||
|
|
<li>不同选题之间有明显的风格差异</li>
|
|||
|
|
<li>尊重编导指定的叙事手法(闪回/暗示/反转点)</li>
|
|||
|
|
</ul>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="evidence">
|
|||
|
|
<div class="evidence-tag"><span class="session">会话59929</span> · 对话447787~447802 · 丁丁 · 创意灵感 vs <span class="session">会话60097</span> · 对话448341 · 香香 · 创意灵感 对比</div>
|
|||
|
|
<div class="evidence-analysis">
|
|||
|
|
丁丁要求"强反转情感故事",香香要求"七夕温情正能量"——需求差异极大。但 AI 给两人的选题<strong>格式完全一致</strong>(核心设定+剧情脉络+适配亮点),只是内容不同。说明 AI 的<strong>内容生成模板固化</strong>,不会根据需求调整输出结构。
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 4.2 叙事手法 -->
|
|||
|
|
<div class="problem-block warn">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon warn">4.2</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">叙事手法:线性叙述为主,缺少高级叙事技巧</div>
|
|||
|
|
<div class="problem-body">AI 不擅长运用闪回、伏笔、暗示、多视角、信息差等剧情赛道核心手法</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<table class="data-table">
|
|||
|
|
<thead>
|
|||
|
|
<tr><th>叙事手法</th><th>AI 表现</th><th>编导期望</th><th>差距</th></tr>
|
|||
|
|
</thead>
|
|||
|
|
<tbody>
|
|||
|
|
<tr>
|
|||
|
|
<td>闪回</td>
|
|||
|
|
<td>直接切回忆段落,缺少触发物设计</td>
|
|||
|
|
<td>通过物件/台词触发,短闪快回</td>
|
|||
|
|
<td><span class="tag red">大</span></td>
|
|||
|
|
</tr>
|
|||
|
|
<tr>
|
|||
|
|
<td>伏笔/暗示</td>
|
|||
|
|
<td>不主动设计,需编导逐条指定</td>
|
|||
|
|
<td>前期自然埋入,后期呼应反转</td>
|
|||
|
|
<td><span class="tag red">大</span></td>
|
|||
|
|
</tr>
|
|||
|
|
<tr>
|
|||
|
|
<td>信息差</td>
|
|||
|
|
<td>倾向开头就交代前史,消解悬念</td>
|
|||
|
|
<td>控制信息释放节奏,制造期待</td>
|
|||
|
|
<td><span class="tag yellow">中</span></td>
|
|||
|
|
</tr>
|
|||
|
|
<tr>
|
|||
|
|
<td>多视角</td>
|
|||
|
|
<td>默认第一人称线性叙述</td>
|
|||
|
|
<td>能切换视角制造认知差异</td>
|
|||
|
|
<td><span class="tag yellow">中</span></td>
|
|||
|
|
</tr>
|
|||
|
|
<tr>
|
|||
|
|
<td>反转设计</td>
|
|||
|
|
<td>反转力度够但情感厚度不足</td>
|
|||
|
|
<td>反转前有充分情绪铺垫</td>
|
|||
|
|
<td><span class="tag red">大</span></td>
|
|||
|
|
</tr>
|
|||
|
|
<tr>
|
|||
|
|
<td>台词设计</td>
|
|||
|
|
<td>部分台词书面化,不够口语</td>
|
|||
|
|
<td>贴合角色身份的口语化台词</td>
|
|||
|
|
<td><span class="tag yellow">中</span></td>
|
|||
|
|
</tr>
|
|||
|
|
</tbody>
|
|||
|
|
</table>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<!-- 4.3 情感设计 -->
|
|||
|
|
<div class="problem-block info">
|
|||
|
|
<div class="problem-header">
|
|||
|
|
<div class="problem-icon info">4.3</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="problem-title">情感设计:事件驱动而非情绪驱动</div>
|
|||
|
|
<div class="problem-body">AI 的脚本缺少"情绪曲线"设计,角色的情感变化靠旁白直述而非行为展现</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="problem-body">
|
|||
|
|
<div class="flow-diagram">
|
|||
|
|
<div class="flow-node problem">AI 模式<br><small>事件1→事件2→事件3→反转</small></div>
|
|||
|
|
<div class="flow-arrow">vs</div>
|
|||
|
|
<div class="flow-node">编导期望<br><small>情绪A→铺垫→情绪B→暗示→情绪C→爆发</small></div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<p><strong>AI 的情感设计问题具体表现:</strong></p>
|
|||
|
|
<p><strong>1. 情绪靠旁白而非行为:</strong>AI 习惯用"男主心里很难受""女主感到窒息"等旁白来交代情绪,而非通过具体行为(如"男主把碗推到一边,筷子在桌上滚了两圈""女主在厕所抠了十分钟裤缝")来展现。后者才是编导需要的。</p>
|
|||
|
|
<p><strong>2. 缺少情绪递进层次:</strong>以会话61723为例,AI 生成的16个事件中,男主的情绪始终停留在"委屈+卖惨"同一层面,缺少从<strong>自我感动→察觉异样→情绪失控→被拉黑后的茫然</strong>这种递进曲线。</p>
|
|||
|
|
<p><strong>3. 反转缺少"情感债务":</strong>好的反转需要前期让观众对角色"存入"情感(好感/同情/好奇),反转时"取出"并加倍。AI 的反转往往是"设定翻转"而非"情感兑现"——观众了解了真相,但没有被击中。</p>
|
|||
|
|
<p><strong>4. 不会写"留白":</strong>编导在会话59592中设计的"走路慢""扶膝盖""跟广场舞节奏"都是<strong>不说破的留白</strong>,让观众自己发现。AI 的脚本中几乎不留白,每个细节都要旁白解释。</p>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="divider"></div>
|
|||
|
|
|
|||
|
|
<!-- ========== 五、两位编导的差异化分析 ========== -->
|
|||
|
|
<div class="section">
|
|||
|
|
<div class="section-header">
|
|||
|
|
<div class="section-num">5</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="section-title">两位编导的差异化分析</div>
|
|||
|
|
<div class="section-desc">丁丁与香香的创作风格与反馈模式对比</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="compare-grid">
|
|||
|
|
<div class="compare-card bad" style="border-color: rgba(99,102,241,0.15); background: rgba(99,102,241,0.03);">
|
|||
|
|
<h4 style="color: var(--accent-2);">丁丁(17条 / 8个会话)</h4>
|
|||
|
|
<div style="margin-top:12px;">
|
|||
|
|
<p style="color:var(--text-2); font-size:13px; margin-bottom:8px;"><strong style="color:var(--text);">创作偏好:</strong>强设定+强反转+情感类型,偏好电影质感的微电影/短视频脚本</p>
|
|||
|
|
<p style="color:var(--text-2); font-size:13px; margin-bottom:8px;"><strong style="color:var(--text);">常见反馈:</strong></p>
|
|||
|
|
<ul style="list-style:none;">
|
|||
|
|
<li style="color:var(--text-2); font-size:13px; padding:2px 0 2px 16px; position:relative;"><span style="position:absolute;left:0;color:#f87171;">→</span> "情感有点弱"(要求加强情感层次)</li>
|
|||
|
|
<li style="color:var(--text-2); font-size:13px; padding:2px 0 2px 16px; position:relative;"><span style="position:absolute;left:0;color:#f87171;">→</span> "太玄幻了"(要求贴近现实)</li>
|
|||
|
|
<li style="color:var(--text-2); font-size:13px; padding:2px 0 2px 16px; position:relative;"><span style="position:absolute;left:0;color:#f87171;">→</span> "内容空空的"(批评意象化过度)</li>
|
|||
|
|
<li style="color:var(--text-2); font-size:13px; padding:2px 0 2px 16px; position:relative;"><span style="position:absolute;left:0;color:#f87171;">→</span> "为啥都致敬电影"(批评格式固化)</li>
|
|||
|
|
</ul>
|
|||
|
|
<p style="color:var(--text-2); font-size:13px; margin-bottom:8px; margin-top:10px;"><strong style="color:var(--text);">核心痛点:</strong>AI 的反转"设定够猛但情感不深",意象化包装掩盖了故事本身</p>
|
|||
|
|
<p style="color:var(--text-2); font-size:13px;"><strong style="color:var(--text);">指导方式:</strong>会给详细的故事框架和反转点设计,手把手教 AI 做暗示铺垫</p>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="compare-card bad" style="border-color: rgba(236,72,153,0.15); background: rgba(236,72,153,0.03);">
|
|||
|
|
<h4 style="color: var(--pink);">香香(17条 / 8个会话)</h4>
|
|||
|
|
<div style="margin-top:12px;">
|
|||
|
|
<p style="color:var(--text-2); font-size:13px; margin-bottom:8px;"><strong style="color:var(--text);">创作偏好:</strong>纪实风格+四川方言+正能量,偏好市井小人物的情感故事</p>
|
|||
|
|
<p style="color:var(--text-2); font-size:13px; margin-bottom:8px;"><strong style="color:var(--text);">常见反馈:</strong></p>
|
|||
|
|
<ul style="list-style:none;">
|
|||
|
|
<li style="color:var(--text-2); font-size:13px; padding:2px 0 2px 16px; position:relative;"><span style="position:absolute;left:0;color:#fbbf24;">→</span> "再来几个事件"(要求丰富内容)</li>
|
|||
|
|
<li style="color:var(--text-2); font-size:13px; padding:2px 0 2px 16px; position:relative;"><span style="position:absolute;left:0;color:#fbbf24;">→</span> "还是不够 爆发性事件"(要求情绪升级)</li>
|
|||
|
|
<li style="color:var(--text-2); font-size:13px; padding:2px 0 2px 16px; position:relative;"><span style="position:absolute;left:0;color:#fbbf24;">→</span> "贴近现实"(批评年代太久远)</li>
|
|||
|
|
<li style="color:var(--text-2); font-size:13px; padding:2px 0 2px 16px; position:relative;"><span style="position:absolute;left:0;color:#fbbf24;">→</span> "第三视角"(纠正叙事视角偏差)</li>
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</ul>
|
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<p style="color:var(--text-2); font-size:13px; margin-bottom:8px; margin-top:10px;"><strong style="color:var(--text);">核心痛点:</strong>AI 不会自动判断"加事件"背后的真实需求是"加情绪层次"</p>
|
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<p style="color:var(--text-2); font-size:13px;"><strong style="color:var(--text);">指导方式:</strong>倾向给方向性指令("加事件""爆发性"),期望 AI 自主判断具体怎么加</p>
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</div>
|
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|
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</div>
|
|||
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</div>
|
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|
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<div class="summary-box" style="margin-top: 20px;">
|
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<h4>差异化结论</h4>
|
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|
<p><strong>丁丁</strong>更注重<strong>故事结构的精密设计</strong>(反转点、暗示铺垫、闪回触发),对 AI 的期望是"能执行复杂叙事设计"。AI 的问题在于<strong>执行精度不够</strong>——接到了详细指令但执行走样。</p>
|
|||
|
|
<p><strong>香香</strong>更注重<strong>情绪密度的逐步加强</strong>(加事件、爆发性事件),对 AI 的期望是"能自主判断如何加强"。AI 的问题在于<strong>理解深度不够</strong>——只做了字面执行(加数量),没理解深层需求(加层次)。</p>
|
|||
|
|
<p>两位编导的共同痛点:AI 都在<strong>事件层面</strong>响应,而非在<strong>情感层面</strong>响应。</p>
|
|||
|
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</div>
|
|||
|
|
</div>
|
|||
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|
|||
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|
<div class="divider"></div>
|
|||
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|
|||
|
|
<!-- ========== 六、改进建议 ========== -->
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|||
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<div class="section">
|
|||
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<div class="section-header">
|
|||
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<div class="section-num">6</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="section-title">改进建议</div>
|
|||
|
|
<div class="section-desc">针对三大核心问题与七大维度的优先级改进方案</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="suggestion-block">
|
|||
|
|
<h4>P0-1:建立"情绪曲线"生成机制 <span class="priority p0">紧急</span></h4>
|
|||
|
|
<p><strong>问题对应:</strong>事件堆砌 / 缺少情绪铺垫</p>
|
|||
|
|
<p><strong>改进方案:</strong>在生成脚本前,先输出一条"情绪曲线"(如:平静→微甜→不安→爆发→释然),然后围绕这条曲线设计事件。每个事件必须标注其对应的<strong>情绪坐标</strong>和<strong>与前一事件的情绪递进关系</strong>。当编导说"加事件"时,AI 应先判断当前情绪曲线的缺口在哪里,再在缺口处补充事件,而非简单追加。</p>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="suggestion-block">
|
|||
|
|
<h4>P0-2:引入"闪回手法库" <span class="priority p0">紧急</span></h4>
|
|||
|
|
<p><strong>问题对应:</strong>不会运用闪回</p>
|
|||
|
|
<p><strong>改进方案:</strong>建立闪回手法知识库,包含:①触发物设计(物件/声音/气味/台词触发)②闪回节奏(短闪快回 vs 长段回忆)③伏笔-闪回对应表(前期埋入的每个细节,后期如何通过闪回兑现)④信息差控制(什么信息在什么时间点释放)。在生成剧情赛道脚本时,自动检索并应用匹配的闪回手法。</p>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="suggestion-block">
|
|||
|
|
<h4>P0-3:增加"情感铺垫"生成模块 <span class="priority p0">紧急</span></h4>
|
|||
|
|
<p><strong>问题对应:</strong>缺少情绪铺垫和情感表达</p>
|
|||
|
|
<p><strong>改进方案:</strong>在脚本生成流程中增加"情感铺垫"环节——在反转/高潮到来前,自动设计3-5个<strong>不点破的行为细节</strong>(如:角色下意识的动作、环境中暗示性的物件、旁人看似无意的台词),让观众通过这些细节逐步建立情感投入。关键原则:<strong>展示而非叙述</strong>(Show, don't tell)。</p>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="suggestion-block">
|
|||
|
|
<h4>P1-1:根据账号风格自适应输出格式 <span class="priority p1">重要</span></h4>
|
|||
|
|
<p><strong>问题对应:</strong>格式化倾向 / 方向跑偏</p>
|
|||
|
|
<p><strong>改进方案:</strong>建立账号风格画像系统。当编导首次使用时,自动识别其账号风格标签(强反转/纪实/方言/正能量等),后续生成时根据风格标签调整:①输出结构(强反转型给完整三幕结构,纪事型给时间线叙事)②语气(方言/普通话)③选题方向(超现实/接地气)④画面风格(意象化/写实)。</p>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="suggestion-block">
|
|||
|
|
<h4>P1-2:增加"编导意图解析"中间层 <span class="priority p1">重要</span></h4>
|
|||
|
|
<p><strong>问题对应:</strong>AI 处理复杂意图不全面</p>
|
|||
|
|
<p><strong>改进方案:</strong>在接收编导指令后,先输出一个"意图解析摘要"(包含:显性需求清单+隐性需求推断+计划输出的结构),供编导快速确认后再生成全文。当编导说"加事件"时,意图解析应自动推断为"当前情绪密度不够,需要在情绪曲线的[某位置]补充[某类型]事件",而非字面理解"增加事件数量"。</p>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="suggestion-block">
|
|||
|
|
<h4>P1-3:屏蔽内部思考过程,直接输出结果 <span class="priority p1">重要</span></h4>
|
|||
|
|
<p><strong>问题对应:</strong>语气不对(暴露think标签)</p>
|
|||
|
|
<p><strong>改进方案:</strong>确保 <code><think></code> 标签内容不会出现在最终输出中。当编导给出模糊指令时,不要反问"您希望A还是B",而是<strong>自主选择最优方向直接输出</strong>,如果编导不满意会自然给出反馈。将"选择权"从编导手中拿回,减少编导的认知负担。</p>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="suggestion-block">
|
|||
|
|
<h4>P2-1:建立"故事骨架"模板库 <span class="priority p2">优化</span></h4>
|
|||
|
|
<p><strong>问题对应:</strong>骨架没搭好</p>
|
|||
|
|
<p><strong>改进方案:</strong>预设多种故事骨架模板(三幕式/起承转合/循环结构/多线交织),在生成选题时自动套用完整骨架而非只给灵感碎片。每个选题至少包含:①开场钩子 ②核心冲突 ③转折点 ④高潮/反转 ⑤情感落点。</p>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="suggestion-block">
|
|||
|
|
<h4>P2-2:增加"画面可执行性"校验 <span class="priority p2">优化</span></h4>
|
|||
|
|
<p><strong>问题对应:</strong>画面不到位</p>
|
|||
|
|
<p><strong>改进方案:</strong>在生成脚本后,自动检查每个画面描述是否可实际拍摄。将"雨滴悬停""拼图变黑洞"等不可拍摄意象替换为等效的可拍摄画面(如"雨滴打在玻璃上的慢镜头""拼图缺失的缺口特写")。</p>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="divider"></div>
|
|||
|
|
|
|||
|
|
<!-- ========== 七、总结 ========== -->
|
|||
|
|
<div class="section">
|
|||
|
|
<div class="section-header">
|
|||
|
|
<div class="section-num">7</div>
|
|||
|
|
<div>
|
|||
|
|
<div class="section-title">总结</div>
|
|||
|
|
<div class="section-desc">核心发现与优先行动</div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="summary-box">
|
|||
|
|
<h4>核心发现</h4>
|
|||
|
|
<p>本次分析覆盖 34 条对话记录,涉及 2 位剧情赛道编导、16 个创作会话。编导反馈的三大核心问题——<strong>事件堆砌、缺少情绪铺垫、不会运用闪回</strong>——本质上是同一个问题的三个面:AI 在<strong>事件层面</strong>响应,而非在<strong>情感层面</strong>响应。</p>
|
|||
|
|
<p style="margin-top:12px;"><strong>事件堆砌</strong>是表象:AI 用"加数量"代替"加层次"。</p>
|
|||
|
|
<p><strong>缺少情绪铺垫</strong>是根源:AI 不会设计"让观众产生情感投入"的前置环节。</p>
|
|||
|
|
<p><strong>不会运用闪回</strong>是手法缺失:AI 缺少让情感在"过去与现在"之间制造冲击的叙事工具。</p>
|
|||
|
|
<p style="margin-top:12px;">47% 的会话出现修改/重做,其中<strong>方向跑偏</strong>(5次)和<strong>要求加事件</strong>(4次)是最高频的反馈类型,说明 AI 的初始理解偏差和情感深度不足是影响创作效率的两大瓶颈。</p>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="summary-box">
|
|||
|
|
<h4>优先行动</h4>
|
|||
|
|
<p><span class="tag red" style="font-size:13px;">P0</span> 建立<strong>情绪曲线生成机制</strong>——让 AI 先设计情绪走向,再围绕情绪设计事件</p>
|
|||
|
|
<p><span class="tag red" style="font-size:13px;">P0</span> 引入<strong>闪回手法库</strong>——让 AI 掌握触发物设计、短闪快回、伏笔对应等核心手法</p>
|
|||
|
|
<p><span class="tag red" style="font-size:13px;">P0</span> 增加<strong>情感铺垫模块</strong>——在反转前自动设计"不点破的行为细节"</p>
|
|||
|
|
<p><span class="tag yellow" style="font-size:13px;">P1</span> 建立<strong>账号风格画像</strong>——根据编导风格自适应输出格式</p>
|
|||
|
|
<p><span class="tag yellow" style="font-size:13px;">P1</span> 增加<strong>意图解析中间层</strong>——将"加事件"自动理解为"加情绪层次"</p>
|
|||
|
|
<p><span class="tag blue" style="font-size:13px;">P2</span> 建立<strong>故事骨架模板库</strong>和<strong>画面可执行性校验</strong></p>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="footer">
|
|||
|
|
<p>剧情赛道编导 AI 对话记录分析报告 · 生成于 2026/8/3</p>
|
|||
|
|
<p style="margin-top:4px;">数据来源:剧情编导对话记录.csv(34条记录 · 16个会话 · 2位编导)</p>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
</div>
|
|||
|
|
</body>
|
|||
|
|
</html>
|