Ideas, guides, and
production lessons.
What we learn building AI agents, RAG systems, and Claude integrations for real clients.
Ollama Laravel: from open-source package to 87K downloads
How building an open-source Laravel package for local AI created trust, community, and a consulting pipeline. Lessons from two years.
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Scaling RAG to production: the 3-layer architecture that actually works
Why naive RAG breaks at scale and the 3-layer approach we use with clients: smart chunking, hybrid retrieval with re-ranking, and context assembly with citations.
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How we design autonomous AI agents for business processes
Architecture, design patterns, and lessons learned building agents that operate 24/7 without human intervention.
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5 processes you can automate today with AI agents
Real use cases where intelligent automation delivers immediate ROI: support, classification, reporting, and more.
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Building a Voice-Controlled macOS Agent with Gemini
What if you could control your entire Mac just by talking? We built Gemini Mac Pilot for the Gemini Live Agent Challenge — a voice agent that sees your screen, understands your apps, and takes action.
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Getting started with RAG: a beginner's guide to retrieval-augmented generation
What is RAG, how does it work, and how do you build your first pipeline? A step-by-step introduction covering chunking, embeddings, and generation.
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10 questions every team should answer before building AI systems. Avoid the most common mistakes we see in production projects.
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