AI Development Blog

Insights, tutorials, and best practices for schema-first AI development. Learn serverCompose(), useCompose(), flowBuilder(), and advanced patterns.

Featured
Latest

Schema-First AI Development: Why Structured Outputs Matter

Learn how schema validation with Zod transforms AI development from brittle string parsing to type-safe, predictable applications. Explore serverCompose() patterns and real-world examples.

By Sarah Chen
1/15/2025
8 min read
Tutorial
serverCompose
Getting Started
Building Your First AI Agent with serverCompose()

Complete tutorial on creating AI agents using the Actionpackd AI SDK. From basic serverCompose() calls to advanced provider switching and error handling.

By Alex Rodriguez
1/10/2025
12 min read
Providers
Architecture
Flexibility
Provider-Agnostic AI: Switch Between OpenAI, Gemini, and Anthropic

How to build AI applications that aren't locked to a single provider. Use createProvider() to seamlessly switch between OpenAI, Gemini, Anthropic, and custom adapters.

By Michael Thompson
1/5/2025
10 min read
React
Streaming
useCompose
Streaming AI Responses with useCompose() React Hook

Master real-time AI streaming in React applications. Learn useCompose() patterns, error handling, and creating delightful user experiences with token-by-token updates.

By Dr. Emily Watson
12/28/2024
15 min read
Multi-Agent
flowBuilder
Workflows
Multi-Agent Workflows with flowBuilder()

Design and implement complex multi-agent systems using flowBuilder(). Learn orchestration patterns, error handling, and coordination between specialized AI agents.

By David Kim
12/20/2024
14 min read
Security
Privacy
Compliance
Secure AI Development: Safe Prompt Interpolation and PII Protection

Essential security practices for AI applications. Learn about safe prompt templating, PII redaction, API key management, and compliance considerations.

By Lisa Park
12/15/2024
11 min read
Testing
Mock Providers
Development
Mock Providers: Safe AI Development and Demo Strategies

How to use mock providers for development, testing, and client demos. Build confidence in your AI features without exposing API keys or incurring costs.

By James Wilson
12/10/2024
9 min read
Production
Scaling
Performance
From Prototype to Production: Scaling AI Applications

Best practices for taking AI applications from proof-of-concept to production scale. Error handling, rate limiting, monitoring, and performance optimization.

By Maria Garcia
12/5/2024
13 min read