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OpenAI Dots: Stop doing everything yourself

@BreakevenBrothers

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OpenAI Dots puts an always-on agent with its own computer to work on Zillow searches and app-support triage. Bradley shares how his assistant uses email, GitHub, and product analytics to flag possible bugs, then compares that experience with Meta's Muse drafting Facebook Marketplace replies for approval. Jev gets a practical test through transaction categorization and suggested bill splits, with a candid look at its fit for real life.

Podcast-discussion first-hand Dots use (Breakeven Brothers, Bradley + Jev). Bradley's Dot ran Zillow searches and app-support triage, used email, GitHub and product analytics to flag possible bugs; Jev's Dot did transaction categorization and suggested bill splits. Includes a Dots-vs-Muse comparison (Muse drafting Facebook Marketplace replies). First-hand account with concrete completed results; talk format, no screen recording.

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Dot as proactive AI secretary: flagged an unanswered email, drafted replies, fixed meeting links

Dot as proactive AI secretary: flagged an unanswered email, drafted replies, fixed meeting links

「このメール、返信しなくていいの？」AIから声をかけられて、メールを見直すきっかけになりました。先回りして提案してくれるAI秘書がほしかったけど、自分で実装するのは難しそうで止まっていた私。dotsは、私の環境では設定も簡単に感じました。分からないところを聞きながら、メールや予定を一緒に扱うところまで進められたんですよね。返信案を作ってもらい、私が確認してから送信。予定に足りない参加リンクも、渡して追加してもらいました。
@moriyukizero_to_ai