SEE WHAT YOU’D BUILD ON RIERINO.

Rierino is an agentic execution platform for enterprise software — a governed runtime layer where AI agents, backend orchestration, native integrations, and admin UI design come together on a single composable foundation. This walkthrough shows how a production-grade AI agent is built end-to-end on Rierino's admin surfaces, with a Contract Review Agent scenario.The demo configures the agent across five tabs in the Data Science app: Definition (lifecycle, versioning, Handlebars-templated instructions), Model (multi-LLM support for OpenAI, Anthropic, Google, Mistral, Hugging Face, Ollama, LocalAI, plus saga-based custom models), Toolkit (real backend authority with multi-agent orchestration), Guardrails (three-stage safety pipeline across inputs, outputs, and tool responses), and Interactivity (Handlebars-templated Structured Prompts and JSON schemas for typed input and output).The same agent is consumed three ways from one shared definition: as a chat interface for direct conversational access, as an embedded widget in an admin UI where the Contract Analysis Report renders inline, and as an autonomous step inside a saga where the agent's output drives downstream routing without a user in the loop. One definition, three surfaces, no rewrites between them.This is the difference between assembling an agent stack from LangChain, a chatbot vendor, an admin UI builder, and separate governance middleware — and building on one composable, agentic execution platform. Rierino consolidates AI agent orchestration, multi-agent delegation, model-agnostic infrastructure, in-the-loop governance, and multi-mode deployment into one governed platform for enterprise teams, replacing LangGraph, CrewAI, Microsoft Copilot Studio, Salesforce Agentforce, Vertex AI Agent Builder, Bedrock Agents, IBM watsonx, and OpenAI Assistants.