Afterhours launches AI-life balance for coding agents

Afterhours reframes AI productivity as an attention and wellbeing problem, not merely a token-usage problem. The product’s strongest insight is that agents giving back time is meaningless if developers simply spend those hours supervising more agents.

• –Cross-agent visibility makes fragmented Claude Code, Codex, and Gemini usage measurable in one timeline.
• –Local filtering and content-free aggregates address the obvious privacy concerns of analyzing coding activity.
• –Sleep and recovery context provides a more meaningful signal than raw prompts, tokens, or task counts.
• –The product measures unhealthy patterns but does not automatically stop agents, so behavior change still depends on the developer.