Recommended first
Getting Started
Run AIGP on your computer, make your first API call, and see a result.
6 lessons~60 min
Start journey AIGP Academy
Learn AIGP one practical step at a time.
Choose a path, follow the steps, and see what each part of AIGP does. You do not need prior AI governance experience.
01
Set up locally
02
Observe evidence
03
Evaluate safely
04
Replay with confidence
Start with an outcome
Learning Paths
Short routes to a useful result. Each lesson builds on the one before it.
Guided next
Governance Fundamentals
Learn how AIGP records facts, checks them against rules, and explains a decision.
5 lessons~75 min
Explore path Guided next
Replay Engineering
Run a saved example again, compare it with the original, and check what changed.
4 lessons~70 min
Explore path Guided next
Agent Runtime Review
Record safe facts about an agent run, spot issues, and safely replay it when you need an answer.
2 lessons~40 min
Explore path Mission-based practice
Walkthrough Missions
Guides you can follow step by step. The Academy saves your checklist in this browser. Studio checks your local setup only when you choose to open it.
MISSION #01 15 min
Observe prompt & model assets
Record which prompt and model an AI interaction used.
You will learn
- Asset Registry
- Runtime observation
- Evidence lineage
MISSION #02 15 min
Review a governance decision
See the rule and facts that led to a decision.
You will learn
- Policy outcomes
- Decision lineage
- Studio reviews
MISSION #03 10 min
Run a governed replay
Prepare a saved run again and inspect it in Studio.
You will learn
- Replay preparation
- Run lineage
- Reusable manifests
Build, don’t just browse
Map
This shows what each path teaches. Use it to choose a useful next step.
REST API
MCP
Assets
Evaluations
Governance
Replay
Agents Runtime
Causal Audit
Ontology
Impact Analysis
Behavior Contracts
Recommendations
Enterprise Events
Start with Getting Started, then take the highlighted next path.
All guides
Tutorial Library
Need help with one specific topic? Choose a guide below.
Getting Started
Local Developer Workflow
Start the local services, demo data, and worker health checks you need to try AIGP.
Beginner15 min
Prerequisites
Python 3.12+ · uv · Docker for infrastructure
Operations
Docker Deployment
Start the API, Studio, and database services with Docker.
Advanced20 min
Prerequisites
Docker installed
Interfaces
Governed Replay Walkthrough
Follow one example from recorded agent activity to a prepared replay you can inspect and run.
Beginner10 min
Prerequisites
AI Governance Platform local stack running · Seeded demo data · Python 3.12+
Agents Runtime
Observe Agent Runtime
Send a safe record of an agent run to AIGP, then review its timeline in Studio.
Beginner15 min
Prerequisites
AI Governance Platform API running · Runtime or integration connector · API token
Agents Runtime
Run Causal Audit
Safely change one piece of evidence and see whether it changed the result, without touching the original run.
Intermediate25 min
Prerequisites
Agents Runtime evidence · Safe replay-capable runtime · Causal Audit permission
Interfaces
AI Governance Platform Walkthrough Quests
Use versioned, public-API terminal journeys for evaluation evidence, policy gates, governance decisions, experiment outcomes, and governed replay.
Beginner10 min
Prerequisites
AI Governance Platform local stack running · Seeded demo data · Python 3.12+
Interfaces
Observed Prompt and Model Assets
Record which prompt and model your app used, without moving your app into AIGP.
Intermediate15 min
Prerequisites
AI Governance Platform API running · Runtime or evaluation producer · API token
Governance
Review Governance Decisions
Open a decision, see the facts and rules behind it, and record your review in Studio.
Beginner15 min
Prerequisites
Studio running · Seeded data or a persisted decision
Governance
Governance Insights
Explore experiment insights, candidate explanations, drift analysis, investigations, and report generation.
Intermediate30 min
Prerequisites
Experiments and evaluations created · API running
Studio
Studio - Experiment Management
Compare AI versions, their settings, and their evaluation results in Studio.
Beginner20 min
Prerequisites
Studio running · Seeded data or governed registry assets
Studio
Studio - Replay Management
Run a saved historical example again and compare the new result with the old one.
Intermediate25 min
Prerequisites
AI Governance Platform API and worker running · Replayable historical execution
Interfaces
MCP Server Basics
Learn the AI Governance Platform MCP foundations, from direct calls and stdio to native Streamable HTTP and MCPO.
Beginner20 min
Prerequisites
AI Governance Platform API running · Python 3.12+
Interfaces
Native MCP Streamable HTTP
Connect MCP-aware clients over HTTP with a Keycloak bearer token, then validate the setup in MCP Inspector.
Intermediate20 min
Prerequisites
AI Governance Platform local stack running · Python 3.12+
Interfaces
MCP Controlled Writes
Use MCP to submit evaluations, create experiments, and manage background jobs with a clear activity record.
Intermediate25 min
Prerequisites
MCP server basics · AI Governance Platform API running
Getting Started
REST Control Plane
Try the REST API for health checks, evaluations, decisions, experiments, and jobs.
Beginner15 min
Prerequisites
Docker Compose running · API on localhost:8000
Operations
Operate Neo4j Synchronization
Inspect graph projection health, diagnose synchronization events, and safely retry a dead-letter event in Studio.
Intermediate20 min
Prerequisites
Docker Compose running · Seeded data