Busy Month

It’s been one of those months where every week felt like a quarter.

Lynda is everywhere now. Robots, mixed reality, mobile, desktop, web every client is up and running. Same assistant, same memory, same personality, no matter which screen (or headset, or robot) you reach her through. That cross-surface continuity has been the goal for a long time, and this is the month it actually came together.

A new voice. We swapped out our text-to-speech engine. The old one was genuinely good … but the new one is better, and more importantly we redesigned how the audio comes out so it streams in real time. Instead of waiting for a full reply to render before you hear anything, Lynda starts speaking almost immediately. The difference in how alive the interaction feels is hard to overstate on the headset especially, it’s the difference between talking to a system and talking to someone. The voice carries emotion now too; it shifts with the tone of the conversation instead of staying flat.

Our first paying customer. This is the big one. We ran a trial and it went better than we hoped well enough that the customer called a meeting and told us, plainly, that they need a formal agreement in place because they were worried we might take it away. Their words, roughly: if we pulled kruel.ai, they’d spend whatever it took to rebuild something like it themselves. You don’t get a much clearer signal than that. They’re now our first paying customer, on a limited capacity for the moment while we scale carefully.

And it doesn’t stop there. Through that same customer, we’re heading toward licensing kruel.ai out to a much larger company they’re partnered with. That’s going to be a genuinely interesting adventure and a real step up in scale.

Getting smarter. Alongside all of that, we’ve been pushing hard on deeper understanding. Our testers keep surfacing the subtle gaps the places where Lynda doesn’t quite get it and we’ve been tuning against exactly those cases. We’re now in the monitoring phase, watching how much overall quality lifts. The neural-network side is the part I’m most excited about: it sharpens the business- and project-level reasoning, which is precisely what the next chapter the larger commercial venture is going to lean on.

Taking Lynda on the road. Next week we put all of this to the real test: a 4–8 hour trip to stand up another customer’s site in the field, for one of the other groups I work with. We’re bringing a portable Starlink so Lynda has the connectivity she needs to do her thing wherever we are. Live deployment, real conditions exactly the kind of trial-by-fire that tells you what’s actually solid.

It’s been a lot. It’s also the most momentum we’ve ever had.