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Step-by-step explanations, from first steps to production. Every guide starts in plain English.
BuilderAny assistantMembers

Prompt Patterns That Work Across Every Assistant

Seven reusable prompting patterns, from role and few-shot examples to critique loops, with templates you can paste into any chatbot.

5 min read

BuilderAny assistantMembers

How to Write a System Prompt That Actually Holds

Learn the structure of a strong system prompt, how to set role, rules and format, and how to test it so your assistant or bot behaves consistently.

6 min read

BuilderAny assistantMembers

Getting Reliable JSON and Structured Output from AI

Techniques for making a model return clean JSON every time, from prompt wording and schemas to validation and retry loops in your code.

6 min read

BuilderAny assistantMembers

Building Your First AI Agent, Step by Step

Understand what an agent is, then build a simple one: a goal, a loop, a few tools and clear stopping rules, with a framework-free Python sketch.

7 min read

BuilderAny assistantMembers

Long Chats, Forgetting and Memory: How to Keep AI on Track

Why assistants lose details in long conversations, and how to use summaries, fresh chats, projects and memory features to keep context sharp.

5 min read

BuilderPerplexityMembers

Doing Research with Perplexity and Other Search-Based Assistants

How answer engines with live citations differ from plain chatbots, and a repeatable method for checking sources and getting trustworthy research.

6 min read

BuilderLlamaMembers

Running Open Models: Llama, Mistral and DeepSeek Explained

What open-weight models are, why people run them locally or via hosting providers, and how to get started while respecting hardware limits and licenses.

6 min read

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