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github.com

August 16, 2026

GitHub - alexgreensh/attention-span: Make your agents talk human. ADHD-friendly output styles for Claude Code. So you can pay attention, not tokens.

Make your agents talk human. ADHD-friendly output styles for Claude Code. So you can pay attention, not tokens. - alexgreensh/attention-span

news.ycombinator.com

September 16, 2026

Introducing System One Models and Jev | Hacker News

System One launched Jev, a model restricted to structured typed output for tasks like classification, routing, and scoring, rather than general-purpos...

github.com

August 16, 2026

GitHub - Leonxlnx/unlazy: Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the who...

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GitHub - alexgreensh/attention-span: Make your agents talk human. ADHD-friendly output styles for Claude Code. So you can pay attention, not tokens.

Introducing System One Models and Jev | Hacker News

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GitHub - alexgreensh/attention-span: Make your agents talk human. ADHD-friendly output styles for Claude Code. So you can pay attention, not tokens.

Introducing System One Models and Jev | Hacker News