Paul Dix

Like you will see big, like security compromises, right?

Yeah.

Yeah, you will see big infrastructure failures or production failures and stuff like that.

Malt book, my bad.

Malt book, yes.

Yeah, malt book.

For OpenClaw, because it's not malt bot anymore.

I mean, a lot of it is still the same.

Like, well, you know, we've already put like Ask AI features in our documentation website and we have like, we're starting to thread this through our support organization, right?

So what I expect is like more and more tooling to allow AI to basically just solve customer problems along the way.

But in terms of actual like database features, other than making sure that the command line interfaces that we're coming up with

and all this tooling that we're coming up with is accessible by agents.

At this stage, we're really thinking it's on the individual organizations that are adopting InfluxDB for them to use their tooling because we're still not trying to

create an agentic platform for creating time series applications, for example.

Because then we'd be trying to bring in a model and do this thing.

And it's like a bunch of that stuff.

So mostly what I'm thinking about it from is the perspective of a CTO trying to optimize a software engineering organization.

But I do think...

there's downstream impact.

It's just that I don't think we have any particular talent in being able to innovate in that area faster than the big AI companies, like OpenAI, Anthropic, Google, are gonna actually come out with new agentic tools and stuff like that.