What's in this video
- The walkthrough deploys an AI application from the SUPERWISE interface.
- It presents embed, API, and SDK delivery options.
- Built-in feedback captures signals for continued improvement.
Frequently asked questions
Topics from this video and why governed AI matters.
In Application Studio you configure the LLM, index context (e.g. a Wikipedia page), then Save and Publish. Status moves from pending to available when the agent is fully deployed. You consume it via iframe or API and SDK with no infrastructure setup.
Positive or negative feedback is tracked inside SUPERWISE. Every action is available through the API so you can analyze usage and tune guardrails. Governed AI requires that you see how agents perform in production.
One-click deployment keeps engineering effort low while still enforcing guardrails and observability at the platform. SUPERWISE gives you the same governance whether you embed via iframe or integrate via API.
Deploying without observability means you cannot see failures, drift, or abuse. SUPERWISE monitors feedback and behavior so you improve and prove governance from day one.
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