With a 120 million creative conversation sample database (scripts, books, game NPC dialogue, etc.) trained on and the union of generative Adversarial network (GAN) technology, Notes AI achieves a semantic coherence score of 89/100 on character dialogue, reaching as high as near human average level of a human writer (92/100). For example, a game development company used Notes AI to generate NPC dialogue for open world RPG Starland Fantasy and increased the efficiency of character network generation by 300%, increased the generation of dialogue text from 5,000 words to 23,000 words per day, and the player rating of AI-generated dialogue was 4.7/5 (average 4.9/5 for hand-crafted). Increased user retention by 18%. According to the fictional text generation test published by OpenAI in 2023, Notes AI scored 86 on character emotional consistency (such as transition naturalness from “anger” to “sadness”), which surpassed GPT-4’s score of 78, especially in scenes involving over three characters, and the rate of conflict between dialogue logic was only 2.1% (industry norm 6.8%).
In the craft of writing film and television scripts, Notes AI can batch create proposals for character interactions based on a dynamic story engine (12 story genre templates) and a character trait matrix (50 dimensional parameters such as age, occupation, motivation, etc.). One of the streaming media services used Notes AI to assist the scriptwriting team to decrease the writing time of the first draft of one episode from 3 weeks to 4 days, and the corresponding percentage of character lines and character Settings achieved 94%, and user testing showed that the “character credibility” score of AI participation in the series was only 0.3 points lower than that of entirely artificial production (4.5 vs 4.8). For example, in the Dark Web Tracking mystery series, AI-generated dialogue from villains in technical jargon terms (such as “zero-day exploits” and “traffic sniffing”) was 97 percent accurate with a 63 percent reduction in the error rate compared to a team of human writers. Additionally, within the world of interactive fiction, after integrating a platform with Notes AI, click-through-rate on the branch story choice increased by 27%, and user average reading time increased to 42 minutes from 15 minutes.
On the technical side, Notes AI uses an emotion vector mapping model (detection of 8 basic emotions, resolution of intensity ±0.1), and real-time context tracking (memory capacity up to 20 rounds of conversation history) to ensure character behavior aligns with long-term human Settings. For example, in the virtual idol industry, a firm used Notes AI to drive the 3D character “Luna” to interact with fans, and its deviation rate of emotional response in dialogue was only 3.5% (1.9% for the human central control team), but the cost reduced by 74%, and the daily average interaction reached over 500,000 times. However, the system still possesses rational loopholes in extremely intricate circumstances (such as cross-space dialogs with philosophical surmises), and if dialogue rounds exceed 15, then character motivation consistency decreases from 92% to 78% and requires human calibration. By 2027, Notes AI-like solutions will perform 35% of pan-entertainment content character interaction generation work, cutting creation costs by 40%, while increasing user payment rates for interactive narrative products by 22%, Gartner states.