We’re still figuring this part out. In this post, we’re opening up about the questions we’re asking around limits at Anjin - whether it’s credits, domain restrictions, seat limits, or something else entirely - and why we believe designing smart boundaries can actually create more value for users, not less.
In this post, we take you behind the scenes of how we’re designing Anjin’s admin dashboard. It’s not just about buttons and panels - it’s about building trust, enforcing rules, and preparing the platform to scale without compromise. Also, small note: it’s Sam’s birthday today. We’re launching this one with cake.
We’ve been spending evenings at the table with AI. Not just metaphorically - but literally. This article explores what happens when you treat AI agents like guests at a dinner party, and what that tells us about creativity, constraint, and how we build.
We’re learning a lot by listening to our agents. This post is about how we’re making sense of those signals - why we brought BigQuery into the loop, and how observability is shaping the way we scale Anjin.
Anjin started with a fast, lovable prototype. But the moment we tried to scale it, the cracks showed. This article breaks down the lessons we learned from moving beyond the "Lovable Edition" of our stack and how we rebuilt Anjin for real users, real security, and real deployment.
