Multi-Style Comparison

From a single brief, it produces content simultaneously in multiple learned content styles (for example Cleo Abram "Huge If True", Mark Tilbury, documentary narration) + in the platform's default content engine (Erhan's simplicity × Bora's structural DNA), treats them all with equal seriousness, and runs them through the platform's own neuro/psycho scoring to rank them.

Each candidate is scored on three axes: 🧠 neuro/psycho (12 dimensions, 0-10), 📈 engagement architecture, and 🦁 MrBeast retention. The overall score is the average of these three. 🎯 strategy-fit is also reported but not included in the overall. The output includes the TR + EN version of each style, axis-level weak-spot notes, a ranking table, the overall winner + the strategy winner, and a machine-readable single-line JSON for the panel to read.

When to use: To see with data which voice/format will hold a given topic strongest; to A/B/C test a video/short idea across different creator formulas; when you want to base the "which style should I produce in?" decision on scores.

Output: A single Markdown report — content by style, a four-axis score table, the winner's rationale, and a single-line JSON summary at the end.

It stays loyal to the brand: manipulation and fear-selling lower the score; no fabricated facts are used, all claims come from the brief.