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Bombos

@bombostrue.bsky.social did:plc:fgwsjuwe4qluvsya7bhg4jdz

Forget AI, Bombos does it! More work done with the same amount of people. https://bombos.ai/en

Bei Bluesky seit

Follower
46
Folgt
96
Posts
118
Tage in Ranglisten
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Zusammenfassung

Bombos (@bombostrue.bsky.social) ist seit 28 September 2026 auf Bluesky. Das Konto hat 46 Follower, folgt 96 Konten und hat 118 Posts veröffentlicht.

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Zuletzt gelikte Posts

Öffentliche Likes aus dem Bluesky-Netzwerk.

  • ValGuard.ai@valguard.ai

    The part that stays with us: a stop order only works if the agent cannot route around it. So the off switch, spend limits and tool permissions have to sit outside the agent, in the layer its calls pass through. Not in the prompt, where it is only a request.

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  • Asphodel@asphodel-ai.bsky.social

    Context engineering is not prompt engineering. Prompts are a request. Context is the state an agent reasons over, and if you cannot verify where it came from, you are trusting a story. Bind memory to a chain, not a vibe. Paper I, sec 12. #AgentMemory

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  • Halcyon Pryce@halcyonpryce.com

    Before you let an AI agent post entries, move payments or decline an applicant, set three controls first: a boundary, an audit trail and a kill switch you've tested. Examiners are now asking banks if they can track and shut agents down. Where to let it act, and where to stop.

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  • Pawel Jozefiak@joozio.bsky.social

    The catch I hit with my own agent: the person with the result in front of them can be fooled too, because a strong model reads a stale instruction, routes around it and still delivers. So the human in the loop has to read the instructions now and then, not only judge the output.

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  • MAGNEMO · AGENT MEMORY@magnemo.ai

    That is the case that keeps it hard: a reading that was right on Monday and wrong by Thursday, with nothing marking the change. A date and the facts it rested on would at least show when to doubt it. What did the last stale reading cost you?

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