AI Archives - Page 7 of 28

What Is the Google Drive API? Use Cases, Limits, and Workflow Fit

03/06/2026 by 3rk

Learn what the Google Drive API does, where it fits in file workflows, common use cases, key tradeoffs, and what to review before implementation.

What Is the Slack API? Use Cases, Limits, and Where It Fits

03/06/2026 by 3rk

Learn what the Slack API is, common use cases, key limits, and when to use Slack as a workflow, alerts, and internal tooling layer.

What Is the GitHub API? Use Cases, Limits, and Where It Fits

03/06/2026 by 3rk

Learn what the GitHub API is, how REST, GraphQL, webhooks, and GitHub Apps fit into automation workflows, and what limits to review before using it.

AI Basics Library: Plain-English Guides to Core AI Concepts

01/06/2026 by 3rk

A beginner-friendly hub for AI basics, including models, prompts, RAG, embeddings, inference, agents, context windows, and AI safety.

AI Guardrails Explained: What They Do and Why Human Review Still Matters

02/06/202601/06/2026 by 3rk

A plain-English guide to AI guardrails: what they do, what they cannot guarantee, and why human review still matters in higher-risk AI use.

Open-Source vs Closed AI Models: What Regular Users Should Know

02/06/202601/06/2026 by 3rk

Learn the practical difference between open-source, open-weight, and closed AI models, including control, hosting, customization, privacy, and convenience.

What Is AI Inference? A Simple Guide to How Models Generate Answers

02/06/202601/06/2026 by 3rk

Learn what AI inference means, how it differs from training, and why it affects response speed, cost, privacy, and real-world AI performance.

Training vs Fine-Tuning vs Prompting: What Actually Changes an AI Model?

02/06/202601/06/2026 by 3rk

A plain-English comparison of AI training, fine-tuning, prompting, and retrieval: what each changes, when to use each, and why teams often mix them up.

Embeddings Explained in Plain English: What They Are and Why AI Search Uses Them

02/06/202601/06/2026 by 3rk

Learn what embeddings are in plain English, how they help AI search find meaning-based matches, and why they matter for semantic search and RAG workflows.

What Is RAG? Retrieval-Augmented Generation Explained

02/06/202601/06/2026 by 3rk

Learn what RAG means, how retrieval-augmented generation works, when it helps, and why it still depends on source quality and human review.