Open Source Models in Production: Licensing and Practical Limits
A practitioner’s guide to running an open source LLM in production: Llama, Gemma and Qwen model licensing, real VRAM maths, costs and the EU AI Act.
Guides, tutorials and opinions on AI & Tools from the team behind Canvas.
A practitioner’s guide to running an open source LLM in production: Llama, Gemma and Qwen model licensing, real VRAM maths, costs and the EU AI Act.
A practitioner’s guide to the web speech api, transcription AI and voice interfaces: on-device recognition, MediaRecorder, costs, TTS bugs and accessibility.
An honest, tested look at whether an ai chatbot website widget helps or hurts: load cost, facade loading, retrieval quality, escalation rules and real
AI image generation for real websites: the quality tells that give it away, what generated images licensing actually gives you, and how to cut file size 30%.
A practitioner’s guide to reliable LLM JSON output: the strict JSON Schema subset, function calling json, three-layer validation, repair turns and grammars.
A practitioner’s guide to ship an AI feature users trust: eval harnesses, pinned model snapshots, latency budgets, shadow rollouts and honest abstention.
Do you need a vector database in 2026? A practitioner’s guide to pgvector vs Pinecone, embeddings storage costs, HNSW tuning, filtering and hybrid search.
A practitioner’s guide to browser AI in 2026: Chrome’s built-in APIs vs WebGPU with transformers.js, real model sizes, cold start budgets and fallback
A practitioner’s guide to AI guardrails for customer-facing bots: verify citations to prevent hallucination, lint tone in code, and build escalation that
An honest 2026 breakdown of what an AI website builder does well, where generated sites fail on semantics, forms and performance, plus when to use one.
A practitioner’s guide to content automation that doesn’t produce slop: evidence-first briefs, CI quality gates, WordPress guardrails and metrics that matter.
A practitioner’s ai web design workflow for 2026: from moodboard constraints and design tokens to production markup, plus what AI design tools still get