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Twitter @Elon Musk

Twitter @Elon Musk

33.6K

Twitter @Elon Musk

x.com

OpenAI News

OpenAI News

31.3K

The OpenAI blog

openai.com

Trending repositories on GitHub today · Git…

Trending repositories on GitHub today · Git…

31.1K

Trending repositories on GitHub today · GitHub

github.com

Andrej Karpathy - YouTube

Andrej Karpathy - YouTube

29.3K

Andrej Karpathy - YouTube

youtube.com

NASA Astronomy Picture of the Day

NASA Astronomy Picture of the Day

33K

NASA Astronomy Picture of the Day

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Magnum Photos

Magnum Photos

28.8K

Magnum is a community of thought, a shared human quality, a curiosity about what is going on in…

magnumphotos.com

Last Week in AI

Last Week in AI

33.9K

Weekly text and audio summaries of the most interesting AI news, as well as editorials commenti…

lastweekin.ai

Trump's Truth - Latest Posts

Trump's Truth - Latest Posts

29.1K

Archive of Donald Trump's TRUTH Social posts

trumpstruth.org

Pavel Durov - Telegram Channel

Pavel Durov - Telegram Channel

28.1K

Founder of Telegram.

t.me

zuck (@zuck) on Threads

zuck (@zuck) on Threads

27.9K

zuck (@zuck) on Threads

threads.com

Bluesky (@bsky.app) — Bluesky

Bluesky (@bsky.app) — Bluesky

27.7K

official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app

bsky.app

The GitHub Blog

The GitHub Blog

28.3K

Updates, ideas, and inspiration from GitHub to help developers build and design software.

github.blog

Folo AI - Timeline Summary

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Anthropic
Anthropic
anthropic.com

Building effective agents for production teams

Anthropic Research
Agent systems guide
Updated recently
8 min read

The newest generation of agent tooling is forcing teams to think less about prompts in isolation and more about end-to-end system design.

Once a model can search, call tools, draft structured work, or trigger external actions, reliability becomes a product question rather than a model benchmark question.

What teams are optimizing for

Accuracy still matters, but operational quality is now the real differentiator: predictable tool use, bounded retries, and evaluation sets that mirror production traffic.

Many failures that look like model mistakes are really interface mistakes: vague tool descriptions, missing state, or workflows that ask one agent to do too much in a single step.

“The most dependable agent products are the ones that expose their workflow clearly enough for teams to inspect, test, and intervene.”

Operating checklist

  • Start with one narrow task and one or two tools.
  • Log every tool call, retry, and failure reason.
  • Add evals before widening the workflow.
  • Keep a human in the loop for risky actions.

Built Open

Open source, verifiable, and easy to inspect.

Code public. PRs welcome.

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コード公開。PR歓迎。