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The AI Backend
Five years from now, every serious software company will have an AI backend - a reasoning layer that sits alongside their services, making decisions that used to be hardcoded.
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Agentfield TeamBlog
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IAM for AI Backends
How DIDs and Verifiable Credentials enable trust for AI agents
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Agentfield TeamArticle
The Move from Monolithic AI to Modular Systems
What a documentation chatbot taught us about building AI features that scale. When web applications hit complexity, we extracted microservices. The same evolution is happening with AI.
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Agentfield TeamArticle
What Breaks When AI Makes a Trillion Decisions
The world makes hundreds of billions of API calls every day. Each call carries a decision. Most of these decisions are hardcoded into configuration files and compiled binaries. But that's starting to change, and the infrastructure isn't ready.
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Agentfield TeamArticle
A Useful Way to Think About Where AI Fits in Software
The speed at which agent-style systems have moved from research to daily use has been remarkable, even as their impact inside real business environments remains uneven. A clearer split begins to appear when you look at where intelligence sits in the architecture.
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Agentfield Team