Brain Reflect

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调试

Step 3: Analyze Patterns

Session Patterns

• Frequency: How many sessions in the period? Average per day?
• Duration: How long are sessions typically?
• Topics: What subjects come up most often?
• Productivity: What is the ratio of accomplishments to open items?

Correction Patterns

• Frequency: How many corrections in the period?
• Categories: Group corrections by type (formatting, tone, process, content, etc.)
• Repeats: Are the same corrections being given multiple times? This indicates a rule that is not being followed or a missing rule.
• Promotion rate: How many corrections have been promoted to rules?

Task Patterns

• Completion rate: Of tasks that appear in daily notes, how many get checked off?
• Carryover frequency: How often do tasks carry over between days?
• Eat-the-frog items: Tasks that have persisted the longest
• Peak productivity: Any patterns in when tasks get completed (time of day, day of week)?

Decision Patterns

• Volume: How many decisions in the period?
• Reversals: Any decisions marked as superseded?
• Decision domains: What areas are decisions being made in?

User Working Patterns

• Session timing: When does the user typically start sessions?
• Focus areas: What projects or topics get the most attention?
• Workflow style: Does the user prefer long deep sessions or short bursts?
• Common requests: What types of tasks does the user most often ask for?

Step 4: Generate Proposals

Based on the analysis, propose specific improvements:

Rule Proposals

• New rules derived from repeated corrections
• Rule modifications based on observed drift
• Rules to remove if they are consistently irrelevant

Process Proposals

• Workflow improvements based on session patterns
• Suggestions for recurring tasks that could be templated
• Eat-the-frog interventions for chronically deferred tasks

Memory Proposals

• Entities that should be added or updated
• Context cache improvements
• Stale information that should be cleaned up

Step 5: Generate Reflection Report

Write the report to Machine/reflection-{YYYY-MM-DD}.md:

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