Blog
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How to Describe Pain to Your Doctor (So the 10 Minutes Count)
Three months of pain, ten minutes to explain it, and your mind goes blank at "how have you been?" The eight things a clinician is listening for, the one-sentence summary that answers them, and what to write down before you walk in.
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How to Ask an AI About Your Symptom Data (and Get Answers Worth Having)
AI assistants are genuinely good at reading months of symptom logs — and genuinely bad at admitting what the data can't support. What to ask, what to watch for, and how Flare's Export for AI keeps the analysis honest.
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The Boom-Bust Cycle in Chronic Pain: Using Your Log to Learn Your Activity Ceiling
Good day, do everything, crash, rest, repeat. How to spot the boom-bust sawtooth in your symptom log, find your real activity ceiling, and pace without giving up your life.
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Missed a Day? Why Gaps in Your Symptom Log Don't Ruin Your Data
A missed day is an unknown, not a good day — and definitely not a reason to quit. How to think about gaps, why not to backfill, and how to restart without drama.
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Pain Scales, Explained: Why Fewer Steps Beats 0–10 for Daily Tracking
The 0–10 pain scale was built for clinic conversations, not daily logging. Here is why a few named levels work better day to day — and how to translate back for your doctor.
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How to Track Chronic Pain (Without It Taking Over Your Life)
A practical system for tracking chronic pain: the five things worth recording, how often to log, and how to spot real patterns without burning out.
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What to Actually Record in a Pain Diary (and What to Skip)
Which fields earn a place in a daily pain diary, which ones to add later, and which popular ones quietly kill the habit — with the reasoning for each.
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What Counts as a Flare? Defining Your Baseline and Your Flares
A flare is a temporary worsening beyond your baseline. Here is how to define both for yourself — and why a consistent definition makes your tracking mean something.
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How to Identify Your Flare Triggers: A Practical Method
A step-by-step method for finding what actually triggers your flares: log consistently, look backward from each flare, and test one suspect at a time.