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Clear-eyed reporting, reviews and practical guides on artificial intelligence and the tools reshaping work.

Updated Oct 24, 2026

Latest in AI

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GuideOct 7, 2026 · 8 min read

Choosing the Right AI Coding Assistant

Choose a coding assistant by testing it on your repository, checking data controls, and measuring useful changes rather than impressive suggestions.

GuideOct 7, 2026 · 8 min read

The Future of AI: Understanding the Next Wave

Understand reasoning models, multimodal systems, and AI agents without confusing useful progress with guaranteed autonomy.

GuideOct 7, 2026 · 7 min read

How to Prepare Your Business for AI Regulation

Build an AI inventory, assign accountable owners, and turn policy intentions into evidence you can review.

GuideOct 7, 2026 · 7 min read

Choosing Safe AI: A Practical Vendor Evaluation Guide

Compare AI vendors using evidence about data handling, deployment, security, testing, and change management—not safety slogans.

GuideOct 6, 2026 · 8 min read

What Is AI Marketing and How Does It Work?

Learn how prediction, content generation, and optimization fit into marketing—and why automation alone is not the same as intelligence.

GuideOct 6, 2026 · 8 min read

How to Apply AI to Your Marketing Strategy

Move from a vague AI ambition to a bounded pilot with clean inputs, clear ownership, and a defensible measurement plan.

GuideOct 6, 2026 · 8 min read

How to Choose the Right AI Marketing Tools

Compare tools on the work they complete, the data they need, and the full cost of operating them—not the quality of a demo.

GuideOct 5, 2026 · 8 min read

Introduction to Large Language and Multimodal Models

Learn how language and multimodal models process information, what tokens and context mean, and why plausible answers still need checking.

GuideOct 5, 2026 · 8 min read

How to Keep Notes When Evaluating AI Tools

Create an evaluation record that separates results, reviewer effort, costs, and privacy findings so decisions remain explainable.

GuideOct 5, 2026 · 7 min read

LLM and Multimodal Model Implementation Checklist

Use this launch checklist to move an AI prototype into a monitored service with defined tests, data controls, and fallback behavior.

GuideOct 5, 2026 · 8 min read

How to Choose Between LLM and Multimodal Models

Choose a model by testing the real task, input requirements, response time, and full operating cost—not a leaderboard alone.

GuideOct 4, 2026 · 8 min read

AI Productivity Tools: Types, Uses and Human Judgment

Understand what AI assistants can help with, why their answers need checking, and how to recognize useful help rather than extra work.

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