I wanted to run hundreds of AI agents that could work together like a team. Not chatbots—actual autonomous agents that execute tasks, remember what they've done, and coordinate with each other.
So I built Open-Claw-Fleet.
I use AI-generated images constantly—architecture diagrams, UI mockups, interface concepts, responsive design visualizations. Different models excel at different tasks, and I often compare outputs across providers to pick the best result.
The existing MCP servers I found had a common limitation: hardcoded model IDs. When providers deprecated models, tools broke. When new models launched, they weren't available until someone updated the code.
So I built Universal Image MCP—a server that fetches models dynamically from provider APIs. New models appear automatically. Deprecated ones disappear. No code changes required.
APIs, or Application Programming Interfaces, are the bedrock of today's digital economy. They form the communication conduits between diverse software systems, facilitating seamless interaction. With AI becoming a game changer in reshaping businesses across sectors, an API-first approach is emerging as a non-negotiable strategy. In this article, we take a deep dive into the API-first approach, particularly in the era of AI, demystifying its core prerequisites and exploring its game-changing impacts.
The world has witnessed a meteoric rise in the use of artificial intelligence (AI) technologies over the past few years, with generative AI and large language models (LLMs) standing at the forefront. Generative AI, which includes the likes of LLMs, can generate creative and unique content, ranging from artwork to complex textual narratives. The idea of AI systems autonomously producing human-like content has transformed the AI landscape, opening up a plethora of possibilities.