Rafael Levi on Agent-Built Data Pipelines

AI Engineer25m 26s
Rafael Levi beside the words Agent Data Pipelines.
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    Rafael Levi demonstrates an agent-assisted data collection workflowA data pipeline moves information through ordered collection, transformation and delivery steps for use by software or AI. and explains why a generated parserInformation extraction identifies selected facts and relationships in source material and converts them into a structured form. can reduce repeated model processing of full pages. He discusses structured output and checks for missing dataAgent completion verification checks evidence that an agent achieved the requested outcome rather than merely producing intermediate work..

    Rafael Levi uses Bright Data tools in the demonstration and discusses access limitations and the need to consider a website’s terms. His performance claims are presented as his own.

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    Video topic coverage

    • Agents & workflows82.4
    • Coding & tools94.5
    • Models & learning0
    • Infrastructure & compute100
    • Research & evaluation0
    • Safety & security30.8
    • Business & productivity0
    • Creative & media0
    • Robotics & perception0
    • Society & policy0

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    Rafael Levi beside the words Agent Data Pipelines. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 7 June 2026 and duration 25m 26s.

    Rafael Levi demonstrates using an agent to build and maintain a web data collection pipeline.