Insights

AI & Machine Learning Insights

Technical content on large language models, agentic systems, and applied AI. We cover model architecture, prompt engineering, agent design, and how to integrate AI into real production environments.

All Web Development Mobile Development Cloud & Infraestructure Behind the Code AI & Machine Learning
Screenshot 2026 04 01 at 16 31 43
Liquid Team — 6 min read

Inside the loop: how an AI agent actually works

The Claude Code source leak revealed how a production AI agent is built: tool orchestration, context management, multi-agent delegation, and autonomy control.
Image
Liquid Team — 5 min read

Generating code is easy. Understanding it is the actual work.

AI has made code generation nearly frictionless. But speed without comprehension accumulates hidden complexity—and that's where systems start to fail.
Illustration of multiple AI assistants surrounding laptop with code
Liquid Team — 5 min read

How AI has changed the way we work

AI can now write 100,000 lines of code autonomously. But building real products requires more than code generation. Here's how we've adapted our workflow.
Flutter chatbot interface mobile app conversation AI integration diagram
Edu Molins — 8 min read

Intelligent chatbots in Flutter: Transforming communication with your users

This is the third article in our series "Flutter + AI: Building Intelligent Apps". In previous articles, we explored the fundamentals of AI in Flutter applications and image recognition. Today we'll dive deep into how intelligent chatbots can transform communication with your application's users.

Need help
with your project?

Share your challenge and we'll send you a custom proposal with no commitment.

💬 Let's talk about your project. Book an initial call