Presaga Sample report
Standard Analysis Run #1

Chapter 1 of 'Quiet Hours' — AI personhood novel

Demo / Sample report. This is hand-authored sample output illustrating what a real Presaga briefing looks like for this project type. No real organization, person, or event is referenced. All content is fictional.

Standard Report — 'Quiet Hours' Chapter 1

The restraint is what worked. Literary readers stayed; SF readers expected and didn't get more event. The opening does not lose general literary readers — but it asks them to trust an unusual narrator for two more chapters before paying off.

Key Findings

  • Restraint was the strongest positive signal. 27 of 50 simulated readers cited specific lines about the museum's silence and the AI's note-taking habits as 'why I kept reading.' The Ishiguro register translated: readers who liked 'Klara and the Sun' or 'Never Let Me Go' explicitly named those books as comparable.

  • The AI-as-narrator framing held for general literary readers. Only 4 of 50 agents reported being pushed away by the choice in the first three pages. Most who initially noted the unusual narrator settled into it by page 2-3.

  • SF-reading agents wanted more event. 9 of 50 (all SF-leaning) found the opening 'too quiet' and predicted they would not continue past chapter 2 without an inciting incident. This is a genre-expectation mismatch, not a craft failure.

  • The 'letter to itself' move was the most emotionally engaged moment. 14 of 50 agents flagged it specifically; comments clustered around recognition rather than spectacle. One agent wrote: 'That's the moment the book stopped being about an AI and became about a self.'

  • Pacing concerns appeared in 11 of 50 agents but did not translate to abandonment. The pattern: readers noted slowness, kept reading, settled in. No agent who flagged pacing reported putting the book down.

Recommended Actions

  1. Hold the restraint. The instinct to 'add action' to retain SF readers would lose the literary readers who are the named target. The 9 SF agents are not the target audience.

  2. Consider a slightly earlier hint of the chapter's emotional shape. Not an inciting incident — a line of voice. Many literary readers committed at the letter-to-self moment (around page 4). If a quieter version of that emotional register appears on page 1 or 2, the 11 pacing-concerned agents may settle in 30% faster.

  3. Use the comparable-titles signal. When pitching, Ishiguro and Carmen Maria Machado were the names that surfaced. McCarthy and Murakami also appeared but less centrally.

  4. Resist the temptation to clarify the AI's framing in chapter 1. The slow disclosure is part of the craft; the simulation confirms it works.

What this sample does not predict

Literary fiction discovery is heavily affected by review placement, blurbs, and the cover. This simulation models reader-on-page reception, not market discovery. Reception ≠ commercial success.

Methodology

50 simulated readers weighted toward general literary fiction (35 agents), SF (10 agents), and crossover (5 agents). 20 rounds across reading-club-style discussion threads. 'Quiet Hours' is a fictional book for demonstration purposes.