Celeste Gonzalez

speaker

248 appearances 3 recordings 1 series first heard Apr 2026 last heard 15 Apr

Celeste Gonzalez’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 — 3 in all, peaking in Apr 2026 with 3.

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Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast · Connecting Search and Social · 13 Apr 2026 podcast

You could get a big bill if you do that wrong, so you just want to make sure that you're okay on that end too.

Um but

I'd say it's really important to just ask whatever platform you're using, if it is Claud Code, if it is cursor, to sort of

build in checks for yourself.

So like when I have built uh collab notebooks to um merge data sources together, I have everything done like step by step in code blocks versus everything written as one so I can

know exactly which step broke.

So then I can troubleshoot with Claude Code or cursor to clean that up.

And it's also really helpful to just ask Claude Code to explain each step to you and explain what it's doing and why and have some sort of knowledge document for you.

So that way you know you can at least

understand as much as you can about whatever it is that you're building.

So when it inevitably breaks, you have a starting point.

I'd say just think about whatever is the most tedious thing that you wish you could put off your plate.

Um, and try to build something that will help with a step in that, if you know, not the entire process.

It doesn't have to be anything huge.

It doesn't have to be anything that necessarily you'd even deem groundbreaking.

Like the first collab reports that I built were just like, okay, let's um

have this giant data set and we're gonna pull just the striking distance keywords from here and then generate um, you know, bar graphs of like buckets of those keywords per um subfolder on the site.

It's not anything crazy there, but it helps speed up time so I don't have to manually look at something like that.

And I'm absolutely horrible at creating any sort of visualizations for the data.

So just using Python to be able to get to do that already speeds up my process.

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