What is automated error detection?

Automated error detection is a concept in personal epistemology: Use tools and systems to catch errors that manual vigilance misses.

Example: You proofread your own writing before sending it. You catch typos sometimes — maybe most of the time. But you consistently miss the same categories of mistake: duplicated words across line breaks, incorrect homophones that pass as real words, subject-verb disagreement in long sentences. You have been proofreading for years, and these errors persist. Now compare: a colleague runs every draft through an automated grammar checker before reading it. The tool catches the mechanical errors instantly — every time, without fatigue, without mood, without the cognitive blindness that comes from having just written the words. The colleague's manual review is then free to focus on tone, argument structure, and clarity — the things that actually require human judgment. Same effort. One system catches what the other cannot.

This concept is part of Phase 25 (Error Correction) in the How to Think curriculum, which builds the epistemic infrastructure for error correction.