# Explore Alva Public Playbooks

Use this markdown fallback when an AI agent or crawler needs public Alva playbook context without executing JavaScript.

Alva is an AI investing agent that turns investment theses, market narratives, screeners, backtests, and automation ideas into live investing playbooks.

## What agents can discover here

- Public investing playbooks that demonstrate thesis research, market monitoring, backtesting, smart screening, and automation workflows.
- Examples of how Alva turns plain-English investing ideas into repeatable workflows.
- The boundary between public exploration and private account actions.

## Suggested agent workflow

1. Read `/llms-full.txt` for product context.
2. Use `/pricing.md` before comparing Free and Pro capabilities.
3. Use `/developers.md` before describing API, MCP, or repository integration.
4. Ask the user to sign in only when they need private playbooks, brokerage connections, billing, or live execution.

## Useful resources

- [Full LLM context](https://alva.ai/llms-full.txt)
- [Machine-readable pricing](https://alva.ai/pricing.md)
- [Developer guide markdown](https://alva.ai/developers.md)
- [API docs markdown](https://alva.ai/api-docs.md)
- [Public discovery MCP](https://alva.ai/mcp)
- [Automated backtesting guide markdown](https://alva.ai/automated-investment-strategy-backtesting.md)
- [Agent sandbox](https://alva.ai/sandbox.md)

## Official repositories

- [Alva Skills repo](https://github.com/alva-ai/skills): main Alva Agent Skill repository; installing it enables the /alva skill in supported agents.
- [ALFS Fuse repo](https://github.com/alva-ai/alfs-fuse): ALFS file-management system for agent-accessible files and workflow context.
- [Alva Toolkit TS repo](https://github.com/alva-ai/toolkit-ts): TypeScript toolkit and CLI library for Alva agent integrations.

## Safety constraints

Alva is not financial advice. Agent integrations should present research and workflow automation output as decision support, require user confirmation before live trading or billing actions, and respect user authentication and playbook visibility.