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Articles on AI: practical decisions, methods and the context needed before implementation.
A hallucination is an answer that sounds plausible but is false. Six techniques that genuinely reduce its risk, and one that only appears to.
Published 2026-09-02
Eight questions before an AI implementation: data scope, processing location, permissions, logs, retention, GDPR, incidents, and transparency.
Published 2026-08-31
A five-step method for reviewing company processes, assessing them on an effort-impact grid, and sequencing delivery instead of starting with a tool.
Published 2026-08-28
Our price ranges for automation, agents, RAG and LLM integrations, plus ongoing costs that need to be included in an estimate. Data for August 2026.
Published 2026-08-26
An LLM predicts the next tokens from context. Learn six criteria for choosing a model for the task, data, and budget — without fast-aging rankings.
Published 2026-08-21
A knowledge graph stores entities and their relations. We explain the difference from vector databases and when RAG without a graph cannot answer your question.
Published 2026-08-17
Before answering, RAG retrieves relevant material and gives it to the model as context. Learn when it helps, how it differs from fine-tuning and what it costs.
Published 2026-08-12
An AI agent selects steps and tools needed to achieve a goal within agreed boundaries. The difference from a chatbot and automation, and when it makes sense.
Published 2026-08-10
