Everything you need to build with PlatformHero
A structured, technical overview of how to configure, operate, and scale AI-powered assistants using PlatformHero — from fundamentals to advanced use cases.
Getting Started
Step-by-step walkthrough to configure your first model, create an assistant, and start using PlatformHero.
Add your API key for OpenAI, Anthropic, Google, or any supported provider.
Choose a model, write a system prompt, and attach knowledge or tools.
Run conversations in the playground, then share via chat UI or API.
How the documentation is structured
Each section builds on the previous one, following a practical and logical flow. Read them in order or jump to what you need.
Introduction
High-level context and guidance on how to read and navigate this documentation.
Getting Started
Step-by-step walkthrough to configure your first model, create an assistant, and run it.
Knowledge
How to ingest, index, and retrieve external knowledge using vector collections and RAG.
Tools
Extend assistants with plugins, API-based actions, and MCP servers for real-world integrations.
Assistants
Assemble models, prompts, knowledge, tools, and memory into orchestrated AI agents you can test and deploy.
API & Account
Project-level configuration, authentication, rate limits, and operational settings.
What you will learn
By following this documentation, you'll master the full lifecycle of building AI assistants with PlatformHero.