OAi combines the power of OA's Model-as-Software architecture with the intelligence of modern AI. Together, they form an adaptive, guided system for designing, generating, and evolving software.
Most AI tools struggle to produce consistent, working software because they lack structure, context, and grounding. OA changes that. The OA model is a structured, explicit representation of business logic, object relationships, workflows, permissions, validations, and more.
With OAi, AI has a complete, deterministic blueprint — the model — to reason about. It knows what objects exist, how they relate, and what rules govern their behavior. This context allows AI to:
OAi is designed to help developers, analysts, and product owners collaborate with AI in a meaningful way. You can describe a process, workflow, or business requirement — and OAi can suggest the right objects, properties, links, and rules.
Because it's all tied into OA, the resulting application isn't just a prototype — it's a full enterprise app, auto-generated, tested, and ready for production.
Most AI coding tools generate snippets without context. OAi works within the bounds of a model that defines structure, purpose, and intent. It’s like giving AI a map, rules, and the materials to build — and watching it deliver real software that fits.
OAi has been trained on and deeply integrated with the full OA codebase, including
oa-core
,
oa-jfc
,
oa-web
, and
OABuilder
. It understands the object model, metadata structure, UI automation, synchronization protocols, and more.
This makes it more than a code assistant — it’s a complete OA expert. Developers can ask OAi for help designing, modeling, generating, debugging, or scaling any OA-based application with confidence.
OAi is not just here to generate boilerplate code. It understands your application at the model level. It can:
With OAi, every OA developer has access to top-tier support and intelligent direction — as if the original framework creators were part of your team.