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Great evaluation Sid Malik, a enjoyable learn.
One factor I’d add is that the repository isn’t only a assortment of samples. It’s educating a brand new option to engineer enterprise agentic purposes.
Building enterprise AI isn’t about writing larger prompts or maximizing LLM calls. It’s about studying the place reasoning provides worth, the place deterministic software program ought to take over, and the best way to construct options which can be testable, ruled, safe, and maintainable. That’s why you’ll see workflows, Business Objects, abilities, analysis, model management, and CI/CD all working collectively. Those patterns are intentional as a result of they’re the inspiration of enterprise software program engineering within the AI period.
Ultimately, we’re educating builders the best way to construct enterprise agentic purposes with the identical self-discipline we’ve utilized to enterprise software program for many years. These aren’t remoted demos. They’re reusable enterprise capabilities that may be examined, ruled, versioned, and constantly improved over time.
And that’s solely the start. The subsequent chapter isn’t about constructing higher particular person brokers. It’s about what occurs when these capabilities may be dynamically found, coordinated, and executed collectively to securely personal full enterprise outcomes. Stay tuned.
Across Oracle’s 94 pattern AI brokers, just one in six workflow step calls an LLM. The different 83% is apparent engineered logic – code, branching, information.
I had Claude depend each node within the fusion-ai-studio repo – all 1,481.
That restraint is the purpose. It reads like a group that did the latency-and-cost arithmetic and engineered accordingly, then shipped an analysis harness within the CLI to show it.
The lesson travels nicely past Oracle – for enterprise brokers, a well-engineered harness beats uncooked intelligence. The mannequin is one node amongst many.
Full evaluation within the feedback.
#OracleAI #AIAgents #AgenticAI #OracleACE #EnterpriseAI #AIGovernance
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