# Aiconversationflow vs BAML — Fit & Features

Canonical: https://trutool.co/compare/aiconversationflow-vs-baml
Author: Snehil (https://trutool.co/authors/snehil)

Compare Aiconversationflow and BAML by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### Aiconversationflow
AI Conversation Flow provides a framework to create anti-agents to build complex non-linear LLM conversation flows, that are composable, controllable and easily testable.
Best fit: People and teams evaluating ai agent frameworks for a specific workflow.
- Core product workflow
Before you choose: Test a representative task, inspect outputs, and confirm integrations, permissions, data handling, licensing, and current costs.
Pricing: https://github.com/pricing
- [Read Aiconversationflow profile](https://trutool.co/tools/aiconversationflow): Read Aiconversationflow profile

### BAML
Define typed LLM functions and test prompts with a dedicated language.
Best fit: Developers composing agents, structured model outputs, and tool workflows.
- Typed LLM functions
- Prompt testing
- Code generation
Before you choose: Check licensing, provider compatibility, maintenance, and tool permissions. Test failure recovery before enabling agent actions.
Pricing: https://docs.boundaryml.com/home
- [Read BAML profile](https://trutool.co/tools/baml): Read BAML profile