# Flow AI

> Infrastructure for embedding schema-aware, deterministic AI assistants directly inside analytical SaaS products. Flow AI provides the backend intelligence layer for analytical SaaS companies whose products expose structured, predictive, or model-driven data to end users.

## Product

- [Home](https://flow-ai.com/index.md): Product overview, problem statement, and the four-layer architecture (semantic data layer, agentic reasoning, generative UI, enterprise runtime)
- [For AI agents](https://flow-ai.com/for-ai.md): Structured context for AI agents researching Flow AI — capabilities, terminology, and grounding rules
- [Judge research](https://flow-ai.com/judge.md): Open evaluation framework for LLM-as-a-judge models (Flow Judge v0.1)

## Company

- [About](https://flow-ai.com/about.md): Team, mission, and company background
- [Events](https://flow-ai.com/events.md): Cooking in Knowledge meetups and other Flow AI events, upcoming and past
- [Legal](https://flow-ai.com/legal.md): Privacy policy and data processing practices

## Blog

- [All posts](https://flow-ai.com/blog.md): Engineering and product writing from the Flow AI team
- [How to Transform Your SaaS Into an Assistant-Native Platform](https://flow-ai.com/blog/how-to-transform-your-saas-into-an-assistant-native-platform.md): Roadmap for evolving SaaS products into agent-first experiences
- [Gen UI for Data-Centric SaaS](https://flow-ai.com/blog/gen-ui-for-data-centric-saas.md): How generative UI delivers analytical clarity beyond chat
- [AI Agents for Data-Centric SaaS](https://flow-ai.com/blog/ai-agents-for-data-centric-saas.md): Why customer-facing data agents need schema-aware reasoning
- [Context is King: Scaling Data Agents](https://flow-ai.com/blog/context-is-king-scaling-data-agents.md): Engineering context for production-grade analytical agents
- [Solving Long Context for Data Agents](https://flow-ai.com/blog/solving-long-context-for-data-agents.md): Techniques for keeping data agents accurate over long sessions
- [Advancing Long-Context LLM Performance in 2025](https://flow-ai.com/blog/advancing-long-context-llm-performance-in-2025.md): Research notes on long-context evaluation and scaling
- [Flow Judge](https://flow-ai.com/blog/flow-judge.md): Open-source LLM-as-a-judge model from Flow AI research
- [Is Your Test Data Holding Back Your AI Agents?](https://flow-ai.com/blog/is-your-test-data-holding-back-your-ai-agents.md): Why test data quality determines agent reliability
- [Automating Test Set Creation for Conversational AI Agents](https://flow-ai.com/blog/automating-test-set-creation-for-conversational-ai-agents.md): Pipeline for synthesizing evaluation datasets
- [How Claude Became Our Project Manager](https://flow-ai.com/blog/how-claude-became-our-project-manager.md): Internal practices for AI-assisted product development
- [How to Read Papers in 2026](https://flow-ai.com/blog/how-to-read-papers-in-2026.md): A modern research workflow for ML practitioners
- [Vibescoping](https://flow-ai.com/blog/vibescoping.md): A pragmatic approach to scoping ambiguous AI projects

## Agent resources

- [Full content (one-shot ingestion)](https://flow-ai.com/llms-full.txt): Every page concatenated into a single markdown file
- [Agent instructions](https://flow-ai.com/AGENTS.md): Discovery, markdown access channels, grounding rules

## Structured data

The machine-readable manifest with canonical claims, disallowed claims, and capability ontology is at `/ai.json` (also linked via the `Link: rel="ai-manifest"` HTTP header on every page).