Nufar Gaspar

speaker

2,488 appearances 11 recordings 1 series first heard Oct 2025 last heard 3 Sep

Nufar Gaspar’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 11 in all, peaking in Jun 2026 with 5.

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The AI Daily Brief: Artificial Intelligence News and Analysis · Agentic Loops for Knowledge Workers · 3 Sep 2026 podcast

I can also paint a picture on a whiteboard, the research sweep.

That's how I would imagine such a research to happen from here on after.

And as I said, I can just give this picture to Claude and Claude will be able to implement that quite well.

But the fact that I am able to paint this picture means that I can automate that using multiple agents.

So that's a very important thing that I can do.

Another thing that I can do, I can build a persistent workers.

Okay, so what I'm showing you now are sub-agents that I created specifically for research.

I have a benchmark collector that's an agent that brings specific research around benchmark.

I have citation verifier.

Citation verifier is an agent that the entire purpose is to verify the citation.

That's was the one that you've seen in Claude.

And I have the report visualizer that describes exactly how I want to get things visualized and so on.

As you've seen, I can summon them to the conversation ad hoc, or I can create a skip.

And the skill here basically describes the graph.

Take a look in case I want to run the research time and again the same way.

That's a skill research with the work graph as a file.

And I'm showing it how to do the flow.

And I'm giving it phases and I'm telling it in each phase of the skill which workers to summon into the conversation.

And by the way, as part of the, I don't know if you've seen that, but as part of the agents, I can also configure which model to use.

So that's a way that anyone here on the line that knows how to work with Claude knows how to build sub-agents cards like you've seen and knows how to build a skill, can orchestrate multiple agents very effectively.

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