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Distilled AI Blog

LLMs Are Just the Sponge: Building the Full AI Cake with Agent Spaces
From LLMs to AI systems is a long journey. Just like a sponge alone doesn't make a cake, LLMs alone can't create the rich, layered AI experiences we rely on today. This article explores how the AI Cake is formed—how modular systems, orchestrated workflows, and agent spaces bring everything together. And more importantly, what Distilled AI is aiming to build: the infrastructure that transforms these ingredients into a scalable, composable AI economy. The Secret Recipe When most people interact

One Size Fits None: Why Domain-Specific Agent Spaces Win
As Agent Spaces begin to define how humans and AI agents collaborate, a critical design choice emerges: why not build a single Agent Space that does everything? A universal platform might sound efficient, but in practice, specialization beats generalization when solving hard problems. This article makes the case for domain-specific Agent Spaces—where modularity, focus, and community expertise create compounding value that no "do-everything" platform can match. Domain Specialization: The Compet

AI Search and Answer Engines: The Future of Discovery
A single news item—Apple exploring AI search in Safari—yesterday wiped ~$150 billion off Alphabet's market value overnight. Big Tech is racing to embed AI-driven answers directly into browsers, search engines, and smart devices. Read on to see why specialized AI search for vertical domains like DeFi and Web3 is no longer optional; it's essential. The Shockwave Moment On 7 May 2025 Bloomberg broke news that Apple is “actively looking at” plugging OpenAI, Perplexity AI and other generative-sear

Intelligence on Tap: Redefining the Human Role
According to the 2025 Microsoft Work Trend Index, 82% of leaders plan to use digital labor to scale their workforce within the next 12–18 months. With AI now abundant, affordable, and instantly available, it’s no longer bound by headcount or expertise. Intelligence is becoming a scalable resource, like electricity or cloud storage.This shift challenges the long-held belief that humans are the sole creators of intelligence. AI can now draft strategies, analyze data, and support decisions faster t

How AI Agents "See": A Deep Dive into Computer Vision for Perception
Artificial Intelligence (AI) agents are rapidly moving beyond simple automation and into complex environments, interacting with the physical world. But for an AI to truly act intelligently, it needs to understand its surroundings. This is where Computer Vision (CV) comes in. Computer Vision is the field of AI that enables machines to "see" and interpret images and videos, essentially giving AI agents the power of perception. This article explores the crucial role of Computer Vision in AI agent d