content-engine

Transform one idea into platform-native content across X, LinkedIn, TikTok, YouTube, and newsletters without cross-posting. Build platform-native content without flattening the author's real voice into platform slop. Before drafting, identify the source set: If the user wants a specific voice, build a voice profile from real examples before writing. Use brand-voice as the canonical workflow when voice consistency matters across more than one output. brand-voice is the canonical voice layer. Run it first when: Reuse the resulting VOICE PROFILE here instead of rebuilding a second voice model. If the user wants Affaan / ECC voice specifically, still treat brand-voice as the source of truth and feed it the best live or source-derived material available. Delete and rewrite any of these: When asked for a campaign, return: Before delivering: - Adapts source assets (articles, videos, demos, docs) into distinct platform variants with native hooks, pacing, and CTAs - Covers five platforms with specific guidance: X (fast opens, one idea per post), LinkedIn (strong first lines, explicit lessons), short video (attention-grabbing first 3 seconds), YouTube (early results, visual refresh every 20-30 seconds), and newsletters (skimmable sections, working opening) - Follows a repurposing flow: extract atomic ideas from anchor asset, write platform variants, trim repetition, align CTAs to...