**TL;DR** - Productive procrastination: why doing unimportant things feels good; Anthropic cache downgrade; how AI context windows affect what you can build.
The 10-Second Pitch
Productive procrastination is doing useful-looking tasks to avoid the one task that actually matters - AI makes it easier to look busy
Anthropic cache pricing change affects long-context applications more than short-context ones
Context window size is not just a number - it fundamentally changes what architectures are possible
Setup in 3 Steps
1. If using Claude for long documents, evaluate cache hit rate and whether it worth the cost
2. Audit your own productive procrastination patterns - AI makes it easier to appear productive while avoiding real work
3. When designing AI products, treat context window as architectural constraint, not just a feature
**Example Prompt:**
Calculate cost difference between processing a 500-page document in a single call vs chunked processing with RAG.
Verdict
Pros
Cons
Cache changes well-documented by Anthropic
Cache optimization complex and error-prone
Context window thinking architecturally important
Chunked processing introduces its own quality issues
Productive procrastination worth naming and confronting
Awareness alone does not fix the behavior
Most expensive AI mistake most companies make: sending too much context because you can. More context = more cost = more hallucination risk.