What This Is
Last week, a long-form technical post about AI novel writing circulated through the web fiction community on Juejin (掘金). The author did one thing: took the mystical word web fiction editors throw around—"pacing"—and broke it into four quantifiable dimensions: tension-release ratio (a 3:1 ratio of tension chapters to release chapters), temperature tiers (five emotional temperature levels: cold/warm/hot/explosive/extreme), payoff density (a small payoff at least every 3 chapters, a big climax at least every 10), and hook coverage (every chapter end must include a cliffhanger, cycling through five types). Combined with hard rules like "the protagonist cannot be wronged for more than 2 consecutive chapters," the entire book's 270 chapters were organized into a checklist that can be auto-checked by code. The author calls it a "pacing card."
The thing worth caring about: this isn't really about web fiction—it's about how "feel" is being dissected. Pacing sense, in traditional understanding, is talent, experience, incommunicable. But this author turned it into engineering metrics. This is the same logic by which AI enters every "soft" domain—customer service scripts, interview evaluation, PPT color schemes—if it can be broken down, models can learn it.
Industry View
Supporters' logic is straightforward: web fiction is industrial writing, pacing already has implicit templates. Better to have AI follow templates than write chaotically. A product manager at an AI writing tool told us: "80% of readers abandon books because of bad pacing. Turning pacing into a checklist is a hundred times more efficient than letting AI figure it out itself."
But the dissent deserves hearing. A senior editor at a web fiction platform reposted with this comment: "Novels written by these rules are stable for the first 3 chapters, but I'll bet by chapter 30 they're indistinguishable from the other 999 novels written by the same rules." His read: pacing is a result, not a recipe—readers feel "good pacing" because characters land and emotions feel real, not because chapter 3 happens to have a hook.
A friend who's shipped a million-word bestseller told us: "Web fiction was never meant to be measured by literary standards. This engineering approach can get AI to write 'passable web fiction,' but it's also killing the small amount of author personality that exists in web fiction."
We notice this reflects a bigger problem: when every "soft skill" gets broken into a checklist, AI can quickly hit "passing grade"—but the parts above passing grade—surprise, dissonance, inspiration—become scarce. Industrialization pursues consistency; creation pursues inconsistency.
Impact on Regular People
For IT decision-makers in content/publishing: if you're evaluating AI writing tools, this structured-checklist approach is more controllable than "letting AI freestyle." But beware—output becomes highly homogeneous, requiring human differentiation filtering, otherwise you'll fall into a "mass-produce, mass-forget" cycle.
For your career: the idea of breaking "feel" into checklists is worth borrowing. "Logic unclear" is feedback many people receive—but what does clear logic mean? Can it be broken into "one core point per page," "conclusion first," "at least 3 data supports"? AI's methodology can be applied back to human work.
For consumer markets: in the next year, you'll read more content with "stable pacing but no memorable point"—novels, short videos, scripts, ad copy. As industrialized AI writing spreads, "good-looking but can't remember what it was about" becomes a new kind of mediocrity, and differentiation keeps getting more expensive.