content · graded hooks + formats
Most AI content tools generate until you stop them. Aegus Content grades every hook, thumbnail, and first-3-second opening before publishing — pattern-library matched against your niche, CTR-weighted, with dissent surfaced when the pattern is contested.
Historical CTR of this hook type inside your specific niche. “Breakdown but wait” averages 6.2% in crypto; 1.8% in DTC. We do not cross-pollinate.
How tightly the hook + topic + style fit the detected niche. Generic content gets flagged as niche-weak and scored down.
Visual-model score on contrast, face presence, curiosity trigger, and platform-specific thumbnail norms.
Retention-scored opening. Weak openings get flagged in dissent — you see the grade + the reason before the clip goes live.
Platform-appropriate length windowing. Reels at 7s have different grading than YouTube Shorts at 45s.
A-graded hooks ship auto; B get a revision pass; C flagged for rewrite. You never ship a C-grade opening by accident.
Same Institute framework that grades PATH trading signals and voice-agent calls. Every piece of content routes through it. Expand evidence chains to see which factors drove the grade.
Hook pattern lands at 62% CTR in this niche; thumbnail strong; first-3s gripping.
Hook pattern lands at 48% CTR in this niche; thumbnail strong; first-3s needs work.
Hook pattern lands at 22% CTR in this niche; thumbnail moderate; first-3s needs work.
Content ops reads from the same Institute that grades trades, calls, and reports. What lands in your niche informs every future hook decision. See the full diagram.