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  "created_at": "2026-05-19T19:50:36.041Z",
  "updated_at": "2026-05-19T20:24:21.531Z",
  "title": "Read-Only Agents Unlock Team Clarity",
  "description": "Start agents in a sandbox with read-only data access, then let them surface owners, follow-ups, and project context so teams can focus on creative work.",
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    "transcript_url": "https://reelsbuilder.ai/video/6a0cbf0cee069b6f30bafa39/transcript.txt",
    "transcript": "Yeah, I mean, I think that the advice that I was giving on stage is to get started, give it a try, but the first thing you have to do with an agent is you have to give it access to data. \n\nYou have to build a bunch of data adapters that feed it with the context for whatever workflow that you're working with, whatever data you're working with. \n\nAnd the advice that I give people is start with read-only access, put your agent in a sandbox of some kind, and then give it read-only access and start it start feeding it with that access and seeing what it can uncover. \n\nWhat you'll very quickly find is that workflows, particularly around orchestration of project management, of summarizing everything going on in a given team or a given project, who's responsible for what, what we should follow up on today, instantly becomes really, really easy and takes that burden off of the humans and then they can think about the actual creative work.",
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    "summary": "Start agents in a sandbox with read-only data access, then let them surface owners, follow-ups, and project context so teams can focus on creative work.",
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      "YouTube Clip"
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    "source_links": [
      {
        "label": "How to Successfully Deploy AI Agents in the Enterprise",
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    "name": "Alec Furrier",
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