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Practical

Practical

Actionable guides for companies figuring out where AI fits and how to start.

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Practical

When to Consolidate AI Tools (And When Consolidating Too Fast Costs More Than the Sprawl Did)

The instinct with AI sprawl is to consolidate fast. Sometimes that's right. Often it's the expensive wrong answer. Four scenarios and a keep/consolidate/kill matrix.

8 min readApr 23, 2026
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Practical

Stop Picking AI Tools Before You Know the Problem

Every week, someone asks which AI tool they should use. The answer is always the same: it depends on the problem, and most have not defined it yet.

4 min readApr 5, 2026
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Practical

The Real Cost of RAG vs Fine-Tuning (What the Pricing Pages Don't Tell You)

2026 dollar math on RAG vs fine-tuning, including the 70% of spend that never shows up on the model bill. With break-even volume and two head-to-head scenarios.

9 min readMar 17, 2026
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Practical

From Prompting to Agent Design: What Changed for People Building with AI

The day-to-day work of building with AI changed more between 2023 and 2026 than most job descriptions have caught up to. Five mental-model shifts, a skill stack, and a 7-day onramp.

10 min readMar 13, 2026
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Practical

Generative AI vs Agentic AI: Side-by-Side for Business Leaders

The same tasks run both ways with real cost math: warehouse receipts, customer support, content production. Plus the afternoon test that tells you which pattern your use case actually needs.

10 min readMar 10, 2026
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Practical

How to Tell If Your Business Is Ready for AI Automation

Not every process should be automated. Here is how to figure out which ones should, what needs to be in place first, and the signs you are not ready yet.

6 min readFeb 18, 2026
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Practical

The AI Jungle: How to Find Your Starting Point

Everyone is talking about AI. Most companies do not know where to begin. Here is how to cut through the noise and find the right first step.

5 min readFeb 3, 2026