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Chapter Content Generation Report

Generated: 2026-02-06 Skill Version: Chapter Content Generator v0.04 Target Audience: High school students preparing for AP Statistics Reading Level: Senior High (Grades 10-12)

Summary

This report summarizes the chapter content generation sessions for the AP Statistics course. All chapters were generated using the Chapter Content Generator skill with Sylvia the Statistical Squirrel as the narrative anchor.

Chapter Generation Details

Ch Chapter Name Concepts Words Tokens Time Notes
4 Numerical Summaries 18 5,135 ~40,000* 2:48 7 MicroSim specs
5 Standardization and Normal Distributions 18 4,867 ~40,000* 2:53 6 MicroSim specs
6 Scatterplots and Association 9 4,880 24,500 5:29** Parallel batch 1
7 Linear Regression 16 4,959 24,600 5:29** Parallel batch 1
8 Causation and Study Design 9 6,069 56,500 5:29** Parallel batch 1
9 Probability Fundamentals 19 5,591 69,200 8:00** Parallel batch 2
10 Conditional Probability and Independence 5 4,683 55,700 8:00** Parallel batch 2
11 Sampling and Bias 19 4,800 24,500 8:00** Parallel batch 2
12 Experimental Design 18 5,858 45,500 3:44 7 diagram/MicroSim specs
13 Random Variables 23 5,636 38,500 3:06 BINS mnemonic included
14 Sampling Distributions 17 5,408 42,500 2:57 5 MicroSim specs
15 Confidence Intervals 16 6,109 47,500 3:30 6 MicroSim specs, 11 tables
16 Hypothesis Testing 22 8,484 55,000 4:30 Extended length for 22 concepts
17 Inference for Means 18 7,028 25,000 3:56 6 MicroSim specs
18 Chi-Square and Regression Inference 22 6,062 45,500 3:23 Chi-square + regression
19 Communication and Synthesis 10 6,356 45,000 3:36 AP exam strategies

* Estimated - token usage not recorded in original log

** Batch time - parallel chapters recorded total batch elapsed time, not individual chapter time

Totals

Metric Total
Chapters Generated 16
Concepts Covered 259
Total Words 91,925
Total Tokens ~679,500
Total Wall-Clock Time ~48 minutes***

*** Sequential chapters: ~35 min; Parallel batch 1 (Ch 6-8): ~5.5 min; Parallel batch 2 (Ch 9-11): ~8 min

Token Prediction Analysis

Can we predict token usage based on chapter characteristics? This interactive analysis compares three potential predictors.

Regression Comparison

Predictor Formula
Concepts Tokens = 331 × Concepts + 37.4k 1.6%
Words Tokens = 1.1 × Words + 36.6k 0.3%
MicroSims Tokens = -4.4k × MicroSims + 67.7k 5.6%

Key Finding

None of these variables are good predictors of token usage.

Even the best predictor (MicroSims) explains only 5.6% of the variance. Interestingly, the MicroSims relationship is negative - chapters with more MicroSim specifications actually used fewer tokens on average.

What Actually Drives Token Usage?

The analysis suggests token consumption is driven by factors not captured in these metrics:

  • Context loading overhead - Fixed cost regardless of chapter size
  • Agent reasoning complexity - Some topics require more "thinking"
  • Execution mode - Parallel vs sequential agent behavior differs
  • Example generation - Worked examples vary in complexity

Concept Coverage

All chapters achieved 100% concept coverage from their respective learning graph sections.

Coverage Chapters
100% All 16 chapters

Content Elements Summary

Based on log file data, typical chapter content includes:

  • Markdown Tables: 8-18 per chapter
  • Markdown Lists: 15-25 per chapter
  • MicroSim Specifications: 4-7 per chapter
  • LaTeX Equations: 15-50 per chapter
  • Admonitions: 4-8 per chapter
  • Practice Problems: 3-7 per chapter

Execution Modes

Mode Chapters
Sequential (single chapter) 4, 5, 12, 13, 14, 15, 16, 17, 18, 19
Parallel (3 chapters) 6-7-8, 9-10-11

Notes

  1. Chapters 1-3: No generation logs found - these chapters may have been created manually or through a different process.

  2. Token Estimates: Chapters 4 and 5 did not include token usage in their logs; estimates (~40,000 each) are based on comparable chapters.

  3. LaTeX Formatting: All chapters use backslash delimiters (\( \) for inline, \[ \] for display) as required by project conventions.

  4. Sylvia Integration: All chapters include Sylvia the Statistical Squirrel with signature phrases and encouraging tone.

  5. MicroSim Specifications: Chapters include detailed specifications for interactive visualizations that require implementation using the microsim-generator skill.


Report generated from session logs in /logs/ch-*.md