Practical AI, no hype
Field notes on building and shipping AI that works — for the people deciding what to build. RSS
Small Models Are the New Default: The Local-First Router Pattern
A 3–9B model on your own hardware can handle most steps of an agent loop faster, cheaper and more privately than a frontier API. Here's how the router pattern works, what small models can and can't do, and how to build one without breaking quality.
ReadIs It Time to Buy Your Own GPU for LLMs? The Honest Hardware Math
Buy, rent or API — the real break-even math on owning a GPU for LLM inference, which cards actually matter, what fits in how much VRAM, and the hidden costs that change the answer.
ReadHow RAG Actually Works: Chunking, Embeddings and Retrieval, Explained Properly
A technical teardown of retrieval-augmented generation — ingestion, chunking strategies, embeddings, vector search, reranking and grounded generation — plus where RAG pipelines actually break.
ReadRunning LLMs on Your Own Hardware: Ollama, llama.cpp and vLLM, Explained
The open-source local LLM stack, demystified — what llama.cpp, Ollama and vLLM each actually do, how quantization works, what fits in your VRAM, and when self-hosting beats an API.
ReadWhy Your LLM App Feels Slow — and the Engineering That Fixes It
The anatomy of LLM latency: time-to-first-token vs tokens per second, KV caching, continuous batching, quantization, semantic caching and model routing — the real levers behind fast AI products.
ReadHow Much Does an AI Chatbot Cost in 2026?
AI chatbot development cost, itemised: off-the-shelf vs custom builds, typical market ranges, monthly running costs, and the hidden line items vendors forget to mention.
ReadHow to Choose an AI Development Company (Without Getting Burned)
A buyer's checklist for choosing an AI development company: the questions that expose weak vendors, red flags in proposals, and how to compare quotes that differ by 5x.
ReadIn-House AI Team vs Agency: The Honest Math
Build an in-house AI team or hire an agency? The real costs, timelines and failure modes of each — and the hybrid pattern most successful companies actually use.
ReadWhy Most AI Projects Fail — and How to Be in the Minority
Most AI projects never reach production — and it's rarely the technology's fault. The real reasons AI initiatives fail, and a practical playbook for being in the minority that succeed.
ReadWhere to Start with AI: A Practical Adoption Roadmap
Ready to adopt AI but not sure where to begin? A no-hype roadmap — how to pick a first use case that matters, run a real pilot, and scale without burning six months.
ReadAnatomy of a Web Platform: How We Built WeddingBestie
A look under the hood of a real platform we built. WeddingBestie looks like a wedding website — but it's a working platform, and the difference is exactly where the value lives.
ReadComputer Vision for Business: What's Actually Possible Today
Computer vision lets software understand images and video. A practical tour of real business use cases, what accuracy to expect, what data you need, and how to build it.
ReadFrom Idea to Production: The Lifecycle of a Custom AI Project
What actually happens between 'we have an AI idea' and 'it's live and reliable'? A stage-by-stage walkthrough of a custom AI project — so you know what to expect and what to ask.
ReadAI Agents Explained: What They Actually Are and When Your Business Needs One
AI agents are the most hyped — and most misunderstood — idea in AI right now. A plain-English guide to what they are, where they shine, where they fail, and how to use them safely.
ReadCustom AI vs Off-the-Shelf AI: When to Build and When to Buy
Should you build custom AI or buy a ready-made tool? A clear decision framework — with a comparison table, total cost of ownership, and the wrapper trap to avoid.
ReadPlatform vs Website: What's the Difference, and Which Does Your Business Need?
A website tells people about your business. A platform does work for it. Here's how to tell which one you actually need — with costs, timelines and real examples.
ReadRAG vs Fine-Tuning: Which Do You Actually Need?
RAG and fine-tuning solve different problems. A plain-English decision guide with a comparison matrix, costs, common mistakes — and why most teams should start with RAG.
ReadWhat Does It Cost to Build a Custom AI App? (2026 Guide)
Custom AI development cost in 2026: typical market ranges by project type, the drivers that move the number, ongoing costs, and how to spend less without cutting corners.
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