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Based on Customer Reviews from Partner Center
Moxie shows how a real OutSystems application was modernized with a provider-agnostic AI layer, routing dynamically across Azure, AWS, and local LLMs for better cost, latency, and resilience.
Moving beyond a basic demo agent requires a shift toward rigorous production standards, that's where deterministic guardrails, end-to-end traceability, and evaluation frameworks with OutSystems come in. Learn how to apply patterns such as LLM-as-a-Judge and RAG evaluation to build safer, more reliable AI systems that are easier to operate at scale.
Bring your questions for the live Q&A.
One app, many models: a pattern that puts every request on the best path, cost, compliance and reliability included.
A real 4-digit inference bill, and what it looks like once a router decides. Honest and measured, not slideware.
How we modernized a live application to search millions of records in seconds, without touching the database that runs the business.
Shows, live, how a router decides the best path for every request, cheapest capable model first.
LinkedInShows, live, what happens when a model fails and the fallback kicks in, every decision traced.
LinkedInLeads Session 2 on engineering mission-critical AI agents, guardrails, traceability and evaluation on OutSystems.
LinkedInMoxie is a Portuguese company founded in 2015, exclusively focused on the OutSystems platform and recognised as an OutSystems Elite Delivery & Gold Partner — among the highest partnership tiers OutSystems awards, reserved for teams with a proven track record of delivery excellence and deep platform expertise. It reflects years of certified, mission-critical work and the trust OutSystems places in us to deliver at the highest standard.
This session is hosted together with OutSystems, sharing a real modernization built for PlayRight, an OutSystems customer.
