Tackle Your Backlog with an AI Executive Assistant
🎯 The Problem: We all have information backlogs - bookmarks, papers to read, content to review. The challenge isn't just finding time to process it all, but determining what's actually worth your attention.
🔧 The Concept: Build a system where AI tools work together to:
Gather and summarize content
Rate items based on your priorities
Create digestible briefings of what matters most
💡 Key Insight: Look for "low stakes" judgment tasks where AI doesn't need to be perfect. For example, when sorting bookmarks:
If AI ranks something as slightly too important or not important enough, the consequence is minimal
Using multiple AI "raters" further reduces the impact of any single misjudgment
The goal is to help you focus attention, not make final decisions
🔍 Case Study: The Bookmark Backlog Reviewer Here's how one system tackles this:
The Browser Module:
Reviews linked content
Creates summaries
Gathers context from web searches
The Rating Modules:
Multiple AI "judges" score content on different criteria
Revenue potential
Technical relevance
Practical applicability
Scores are combined using weighted formulas
The Distribution System:
Highest-rated content is summarized
Summaries are automatically distributed via newsletter
Results can be viewed at lawsnap-daily-briefing.ghost.io
⚠️ Remember:
This isn't a DIY blueprint
It's meant to inspire thinking about your own backlogs
Consider what low-stakes tasks you could delegate to AI
Professional implementation will save time and frustration
🚀 Think Bigger: What backlog is slowing you down? Consider:
Industry news monitoring
Client updates to review
Research papers to process
Social media content to evaluate
The key is identifying where "good enough" AI judgment can help you focus on what matters most.
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