PractiqAI Blog

Insights, Updates & Stories

Product updates, learning strategies, and deep dives designed to help you learn faster with AI. Explore our courses or review the PractiqAI pricing plans to start practicing immediately.

Agents2026-01-23

Agents: When a Single Prompt Isn’t Enough

Why serious automation needs agents, not just clever prompts—and how to design, monitor, and ship robust agentic workflows using planners, tools, memory, and guardrails.

Security2026-01-19

Prompt Injection: The Security Risk

A practical, security-minded guide to prompt injection: what it is, why it’s OWASP’s #1 LLM risk, how indirect attacks work, and how to defend real tools, RAG systems, and courses against it.

Stylized vectors in multidimensional space

Vector Databases2025-12-16

What Are Vector Databases

A practical guide to vector databases: what they actually do (vs. simple vector stores), how indexing and hybrid search work, and how to model, operate, and choose them for real-world AI apps.

Reasoning2025-12-08

What is Chain‑of‑Thought (CoT)

A practical, opinionated guide to chain‑of‑thought prompting: what it is, how self‑consistency decoding works, when long reasoning helps, and when you should keep models terse and tool‑driven.

Embeddings2025-12-01

Embeddings in Plain English

A practical, human-friendly guide to embeddings: what they are, what they unlock (search, clustering, dedupe), how distance and similarity work, how to choose models, chunk text, store vectors, keep indexes fresh, evaluate quality, and control cost.

Context2025-11-26

Context Windows: How Much the Model Can “Remember”

A practical guide to context windows in LLMs: what they are, how different models handle them, how to budget tokens, and when to reach for RAG or fine‑tuning instead of just “making the prompt longer.”

Prompting2025-11-23

Temperature, Top‑p & Friends: Tuning LLM Randomness

A practical guide to sampling parameters like temperature, top‑p, and seeds: what they actually do, when to change them, and how to choose reliable defaults for your LLM apps.

Prompting2025-11-18

System Prompts, Roles & Instruction Hierarchy

A practical guide to the three chat roles (system/developer/user), what truly belongs in each, how to resolve conflicts, and how to test and template role‑specific prompts.

Tokens2025-11-15

What Are Tokens? (And Why They Matter)

A practical, slightly nerdy guide to tokens: what they are, how tokenization works (BPE/WordPiece/SentencePiece), why tokens control cost, speed, and limits, plus safe ways to shrink prompts without losing quality.

Prompting2025-11-12

What Is a Prompt?

A practical, slightly nerdy guide to prompts: what they are, types and formats (including JSON), how to write great ones, and why good prompting works with LLMs.

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Articles for people who learn by practicing

We publish product updates, workflow breakdowns, and AI learning strategies rooted in hands-on experimentation. Browse everything or filter by tag to find the guidance that accelerates your next sprint.

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