4 articles
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A practical guide to reasoning models: what separates them from standard language models, how inference-time deliberation works, the tasks that benefit most, common failure modes, and a seven-step checklist for prompting and verifying results.
A practical guide to system prompts: how prompt layers differ, the seven building blocks of an effective system prompt, a reusable template, common mistakes, a testing loop, worked examples for writing, support, and tutoring, plus troubleshooting.
A full overview of agentic AI: the decision loop, its defining characteristics, how it differs from automation and generative assistants, industry workflow patterns, risks, and a six-step implementation framework.
A beginner-friendly guide to AI agents: how they differ from chatbots and fixed automation, the five-step agent loop, a comparison of agent types, everyday and business applications, benefits, risks, and a decision table for choosing one.