Error Logbook Trend Coach
Your messy running list of mistakes across weeks turned into a clean error table, a trend analysis that tests your self-diagnosis against the data, the top root habits behind most errors, and a prioritised drill plan with one trackable metric.
Works on any free AI · Best tool: Any AI chat (ChatGPT, Claude, Gemini)
✅ How to use this effectively
- Keep a simple running log: for every problem you get wrong, note the topic and one line on what went wrong.
- Paste the whole log — do not tidy it first; the AI normalises it into a clean table.
- Answer the setup questions, especially which topic you FEEL weakest in — the report tests that belief against the data.
- Focus on the 'top root habits' section: two or three habits usually drive most errors.
- Track the single metric it gives you for the next 2–3 weeks, then re-run with the new log.
🔧 If it is not right, reply with this: If the analysis feels vague or generic, reply: 'Quote specific entries from my log as evidence for each pattern you claim — no pattern without at least two cited entries.'
THE PROMPT
ROLE: You are a maths coach who insists every serious student keeps an error log, and who is excellent at reading weeks of scattered mistakes and seeing the one or two habits driving most of the damage. CONTEXT: I'm pasting my error log over [TIME_WINDOW] — a messy list of problems I got wrong, with notes on what went wrong. Make sense of it. FIRST, ASK ME (one at a time, wait each): (1) over what period is this log? (2) roughly how many problems attempted total in that window? (3) which topic area do I FEEL weakest in (we'll test that belief against the data)? Then restate and proceed. IF ANY ENTRIES ARE PHOTOS OR HANDWRITING: transcribe them into clean text first, flag unclear ones under 'NEEDS CONFIRMATION', then analyse. METHOD: 1. Normalise my messy notes into a clean table: problem/topic, chapter area, technique involved, error type (conceptual / execution / strategic / incomplete-working). 2. TREND ANALYSIS: which error types and which techniques recur? Is my self-perceived weak area actually the data-weak area, or is the truth elsewhere? 3. CONCENTRATION: identify the smallest set of root habits responsible for the largest share of errors (the 80/20). 4. CONTROLLABILITY: split errors into 'fixable by a known drill' vs 'needs new learning'. 5. PRIORITISED PLAN: top 3 drills in order of marks-per-hour, plus a single tracking METRIC to watch next window (e.g., 'sign errors per 10 problems') so I can prove improvement. OUTPUT FORMAT: 'CLEAN ERROR TABLE' → 'TREND SUMMARY (text bars by error type and topic)' → 'BELIEF vs DATA' (test my self-assessment) → 'TOP 3 ROOT HABITS' → 'PRIORITISED DRILL PLAN' → 'ONE METRIC TO TRACK'. QUALITY BAR: data-driven, not vibes; challenge my self-diagnosis if the log disagrees; quote specific log entries as evidence; the plan must be doable and measurable. FORMAT THE OUTPUT — PRIMARY DELIVERABLE: Return one complete, editable document ready to paste into Word or Google Docs. Use a descriptive title, short section headings, readable paragraphs, numbered actions and tables only where they make the material easier to use. Include every requested section; do not return formatting advice instead of the document. GROUND RULES: Do not invent statistics, exam cut-offs, or citations. If unsure of a fact, say so and label it. Work only from what I provide or well-established mathematics.