AI Writing Pattern Detection

AI-generated text has tells. Not obvious ones like watermarks, but statistical patterns in how sentences are built, words are chosen, and ideas are structured. TextScore checks five dimensions that separate human writing from machine output. Platforms are increasingly penalizing detected AI content, so knowing your score helps you stay visible.

What It Measures

AI models produce text with unnaturally consistent sentence structures. Humans vary their patterns - sometimes short, sometimes long, sometimes fragmented, sometimes run-on. AI maintains a steady rhythm that feels "smooth" but also feels off.

What TextScore Looks For

• Low variance in sentence length (most sentences within a narrow word-count range)
• Consistent clause structure (subject-verb-object repeated without variation)
• Lack of sentence fragments, interruptions, or informal structures
• Even distribution of transition words at regular intervals

What It Measures

AI models have a "comfort zone" of vocabulary. They tend to pick the statistically most likely word for any given context. Humans use unexpected words, slang, technical jargon mixed with casual language, and personal vocabulary quirks. AI rarely does.

Red Flags

• Overuse of formal connectors: "furthermore," "moreover," "additionally"
• Preference for abstract nouns over concrete ones
• Avoidance of contractions ("do not" instead of "don't" throughout)
• Consistent register - no shifts between casual and formal
• Repeated use of certain filler phrases: "it's worth noting," "it's important to remember"

What It Measures

AI text tends to follow predictable structural templates. Introduction sentence, explanation, example, conclusion. Repeat. Human writers break this pattern constantly - they digress, circle back, skip steps, or start with the conclusion.

Pattern Markers

• Paragraphs that all follow the same internal structure
• Lists where every item is the same grammatical form and similar length
• Balanced sentence pairs ("On one hand... on the other hand...")
• Conclusions that restate the introduction in different words

What It Measures

AI models hedge constantly. They are trained to avoid strong claims, so they pad sentences with qualifiers. Human experts state things directly. Human non-experts ask questions. AI sits in the middle, making vague assertions.

Common AI Hedging Patterns

• "It can be argued that..." instead of just arguing it
• "In many cases..." without specifying which cases
• "This may potentially..." (double hedge)
• "While there are various factors to consider..." (vague stalling)
• "Overall, it depends on the specific situation" (non-answer)

What It Measures

Human writers have personal style. They favor certain words, use specific punctuation habits, and maintain quirks across their writing. AI text is stylistically flat - technically correct but without personality. TextScore measures stylistic markers to detect this flatness.

Signals of Machine Text

• No personality markers (humor, frustration, excitement)
• Perfect grammar throughout (humans make small errors naturally)
• No first-person experience or anecdotes
• Absence of cultural references, idioms, or colloquialisms
• Every paragraph is roughly the same length

Scoring

• Good (Green): Your text shows strong human writing patterns across all five dimensions. Low risk of AI detection.
• Fair (Yellow): Some dimensions show AI-like patterns. This could mean your natural style is formal, or it could mean parts were machine-generated. Review flagged sections.
• Poor (Red): Multiple dimensions flag AI patterns. Your content is likely to be detected as machine-generated by platform filters. Add personal voice, vary your structure, and cut the hedging.