Griptape Governance Pipeline
An educational demo of the Griptape pattern as a LiteLLM-native governance pipeline with policy matching, task memory, and JSON decision checks.
An educational demo of the Griptape pattern as a LiteLLM-native governance pipeline with policy matching, task memory, and JSON decision checks.
An educational demo of a small privacy screening agent that flags GDPR and CCPA concerns from fictional data activity examples.
educaitonal demo of small prompt injection screening agent that flags suspicious text before it reaches a main AI model.
Three-agent content pipeline using Agency Swarm, a CEO agent delegates research and writing to specialized workers through a structured communication chart.
AI coding agent that plans, tests, writes, and reviews generated code through visible compliance rules.
AI agent that scores loan applications and explains exactly why it made each decision, using SHAP, LIME, and counterfactual analysis in pure Python.
Three AutoGen agents showing how AI can hold structured conversations, run group debates, and self-correct code without human input
Three-agent CrewAI crew where one agent researches, one writes, and one reviews, all routed through LiteLLM with no provider lock-in.
Multi-agent system – two AI reviewers independently evaluate the same claim, a third layer detects when they disagree, and a human decides what happens next.
Multi-agent market intelligence system – three specialist agents research any company and a manager synthesizes their findings, with built-in conflict detection.