Anthropic
Post LinkedIn lead magnet · Anthropic
You can now get 10x more output from Claude without upgrading your plan. Anthropic's rolling 5-hour window system changed how limits work. Combine it with these 10 fixes and you have the complete usage optimization stack: → Context management stops your limit burning on re-reads before you've done any real work → Session architecture keeps Claude running across your full workday Here's how it works: 1. Stop stacking context Click Edit on your original prompt instead of following up. Every follow-up re-reads the entire conversation history. Message 30 costs 31x more than message 1. 2. Reset every 15-20 messages Summarize the chat, copy it, open a new chat, paste as the first message. One developer tracked his usage and found 98.5% of tokens went to re-reading history. 1.5% to actual output. 3. Batch into one prompt 3 separate messages = 3 full context loads. 1 prompt with 3 tasks = 1 context load. Always. 4. Match model to task Haiku for quick tasks. Sonnet for real work. Opus for deep thinking. Most people run Sonnet on everything and waste 50-70% of their budget. Real example: A GTM engineer running Claude across 5 client workflows daily cuts token spend significantly using the model framework, session splits, and peak hour scheduling alone. Comment "CLAUDE" and I'll send you the full breakdown: all 10 fixes, the rolling window explained, and the Haiku vs Sonnet vs Opus model framework.
Mécanisme lead magnet
Comment "CLAUDE" and I'll send you the full breakdown: all 10 fixes, the rolling window explained, and the Haiku vs Sonnet vs Opus model framework.
