Solutions for Every AI Use Case
From autonomous agents to production workflows, BAML provides the foundation for building reliable AI applications at any scale.
AI Agents
Build autonomous AI agents that can reason, plan, and execute complex tasks reliably
Key Features
- Type-safe agent definitions
- Multi-step reasoning chains
- State management and memory
- Tool integration framework
TechFlow Inc.: Reduced support ticket resolution time by 75% with autonomous agents
Common Use Cases
Customer support automation
Code generation and review
Research and analysis agents
Task automation systems
AI Workflows
Orchestrate complex multi-step AI processes with guaranteed type safety at every step
Key Features
- Visual workflow builder
- Conditional branching
- Error handling and retries
- Parallel execution
ContentCo: Automated 90% of content production workflow with zero type errors
Common Use Cases
Document processing pipelines
Content generation workflows
Data extraction and transformation
Multi-model orchestration
Prompt Management
Version control, test, and optimize your prompts with engineering best practices
Key Features
- Prompt versioning and rollback
- A/B testing framework
- Performance analytics
- Collaborative editing
AI Startup: Improved prompt performance by 40% through systematic testing
Common Use Cases
Prompt optimization
Multi-variant testing
Cross-team collaboration
Prompt library management
Production Reliability
Deploy AI with confidence using enterprise-grade monitoring, testing, and safeguards
Key Features
- Runtime type validation
- Automatic fallbacks
- Rate limiting and quotas
- Comprehensive logging
FinanceApp: 99.9% uptime with automatic error recovery and zero data corruption
Common Use Cases
Mission-critical AI systems
Financial applications
Healthcare AI
Enterprise deployments
Rapid Prototyping
Go from idea to working prototype in hours, not weeks, with BAML's development tools
Key Features
- Quick start templates
- Live playground testing
- Instant type generation
- One-click deployment
Innovation Labs: Built and deployed 5 AI prototypes in a single sprint
Common Use Cases
POC development
Hackathon projects
Client demos
Feature validation
AI Benchmarking
Measure and compare AI model performance with standardized testing frameworks
Key Features
- Automated test suites
- Performance metrics
- Model comparison tools
- Cost analysis
Enterprise Co: Reduced AI costs by 60% through systematic benchmarking
Common Use Cases
Model selection
Performance optimization
Cost-benefit analysis
Regression testing
Works With Your Stack
BAML integrates seamlessly with your existing tools and AI providers
AI Providers
OpenAI, Anthropic, Google, Cohere, and more
Languages
TypeScript, Python, with more coming soon
Frameworks
Next.js, Express, FastAPI, Django, and more
Infrastructure
AWS, Azure, GCP, Vercel, Docker, K8s
See BAML in Action
Check out our demo repository with real-world examples of each solution
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