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Artificial Intelligence

APIs can be implemented to access AI capabilities and integrate it into various applications and services. AI APIs also provide pre-trained models that developers can use to add AI-driven features to their apps. APIs are commonly used to access AI-driven technologies such as generative AI, large language model (LLMs), natural language processing (NLP), image recognition and computer vision, speech recognition, machine learning and predictive analytics, chatbot and conversational AI, and more.

5 Examples of API-First AI Agents

5 Examples of API-First AI Agents
J. Simpson
J. Simpson
March 24, 2026

8 Tips and Best Practices for MCP Server Development

8 Tips and Best Practices for MCP Server Development
J. Simpson
J. Simpson
March 19, 2026

API Reliability Report 2026: Uptime Patterns Across 215+ Services

API Reliability Report 2026- Uptime Patterns Across 215 Services
Shibley Burnett
Shibley Burnett
March 18, 2026

Are Microservices Still Relevant in the Age of AI?

Are Microservices Still Relevant in the Age of AI?
Janet Wagner
Janet Wagner
March 17, 2026

The Nordic APIs Generative AI Policy

The Nordic APIs Generative AI Policy
Bill Doerrfeld
Bill Doerrfeld
March 11, 2026

How LLMs Are Changing the Way We Build API Specifications

How LLMs Are Changing the Way We Build API Specifications
Art Anthony
Art Anthony
March 3, 2026
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