Build Internal tools and AI automations that stay maintained. Here's exactly what that means.

Building this full-time with a small team, early access opens January. Since AI app builder now describes forty products, here's precisely what this one is including what it doesn't do.

The problem it exists for. Every AI builder generates an impressive version one. Then your business changes, a field renamed, an approval threshold added, a team restructured and each change is a new AI guess against code nobody holds a map of. The most common complaints in every builder community: "it changed things I didn't mention," "it forgot last week's decisions," "I'm paying credits to fix what the AI broke."

What Chromoly does differently - the blueprint. You describe what you need in plain language. The AI doesn't write freeform code, it writes a structured blueprint: every entity, field, workflow, permission, and dependency, mapped and machine-readable. The app is compiled from that blueprint. This buys three things nothing generation-based can offer:

• Changes show their blast radius. Because every dependency is explicit, a change shows everything it touches - safe / affected / breaking before it applies. Reject the preview and nothing happened.

• The structure can't be forgotten. In chat-based builders, your app's architecture exists only in the chat history and the chat history runs out. A blueprint doesn't.

• Nothing fails silently. Every workflow step has run history and failure alerting. A broken automation tells you not a customer, nine days later.

Maintained for life. The platform owns the runtime: hosting, monitoring, security patches, AI model migrations, integration updates. When Slack changes its API, that's our job. This is only economically possible because of the compiler. We maintain one runtime all systems share, not thousands of bespoke codebases.

AI inside your systems. Workflow steps can read, sort, judge, and draft. Score a lead, extract invoice fields, draft a reply. Humans and rules decide, low-confidence output goes to a review queue. AI never sends anything and never makes decisions about people.

What it deliberately doesn't do. Marketing sites, mobile apps, consumer products at large scale, arbitrary custom code. Internal tools and AI automations only - you can't promise maintained-for-life at build-anything width. If you want code to own, Lovable and Cursor are better choices.

Pricing. A permanent free plan (build and preview, no card), paid plans from $59/mo to deploy. One credit currency - generating, editing, AI steps, runs, no expiring dual-credit systems.

Happy to go deeper on any piece, the compiler design and the "what happens when the AI is wrong" flow are the parts people usually ask about.