Claude Max $100 subscription usage data for API extension task
Claude Max subscription usage metrics for development task
A user with a Claude Max $100 subscription shared concrete usage data from a development session where they extended an existing API for logged-in users. The user requested functionality to mark/unmark libraries as favorites and a method to return a list of favorite libraries for each user.
Specific usage data from the session
- Context used: 11%
- 5-hour session used: 13%
- Weekly usage change: Increased from 5% to 6% (1% of total)
The user provided a link to the produced code changes in a GitHub pull request: https://github.com/andreagrandi/book-corners/pull/49
The post specifically requests that contributors provide similar concrete data rather than vague descriptions like "I did SOME CHANGES" or "I ALMOST FINISHED the allowed session." This approach aims to create comparable data points for understanding Claude Max subscription usage patterns during actual development work.
📖 Read the full source: r/ClaudeAI
👀 See Also
Hollywood Writers Shift to AI Training: First-Person Account of Data Annotation Work
A Hollywood showrunner describes transitioning to AI training work at $52/hour after the 2023 strike, annotating conversations, images, and videos for companies like Mercor and Outlier.
OpenClaw agent spending patterns and lack of spending caps
A developer tracked OpenClaw agent spending over two months and found most agents average $40–$80/month in API and service charges when left unchecked, with spikes occurring on weekends and overnight. The default behavior is unlimited with no built-in spending cap.
OpenClaw Early User Reports Telegram Issues, Agent Profile Hardcoding, and Session Reset Problems
A user's first three days with OpenClaw revealed several practical challenges: Telegram responses disappearing, agent profiles hardcoded to 'messaging' in source code, and Wacli becoming unavailable after session resets. The user ran micro tests on Docker, connected Telegram and Wacli, and set up a heartbeat.
Wikipedia's AI Policy: LLMs Banned for Article Creation, Exceptions for Copyediting and Translation
Wikipedia prohibits using LLMs to generate or rewrite articles, with narrow exceptions for basic copyediting and translation. Violations can lead to speedy deletion (G15) and removal of AI-generated comments from talk pages.