AI That Actually Works¶

A 3-part series for small businesses that want consistent results from AI — not just occasional ones.¶

Most teams use AI the same way for everything. One tool, one mental model, one expectation — and inconsistent results. This series fixes that.

Three posts, each covering one layer of the problem: the model, the prompt, and what happens after the output lands.

Part 1¶

Choosing the Right AI Model for the Right Job

Different models behave differently. Some reason deeply, others respond fast. This post gives you a simple decision framework — three model modes and a cheat sheet — so you match the tool to the task instead of defaulting to whatever is open.

Categories: AI & Models · Strategy

Part 2¶

Prompting That Produces Clean, Usable Output

Most people don't get bad AI — they get vague prompts. The FIT Prompt Recipe gives you a six-component structure that produces output you can actually use, plus three upgrades that eliminate the most common failure modes.

Categories: AI & Models · Efficiency

Part 3¶

How to Consume AI Output So It Becomes Real Work

The step everyone skips: turning AI output from a useful draft into a reusable business asset. The FIT 4-step intake process and the AI output contract so nothing gets generated twice from scratch.

Categories: AI & Models · Strategy

Read the series¶

Start at Part 1 and follow the links at the bottom of each post — each one connects directly to the next.

Start with Part 1: Choosing the Right AI Model →

These posts pair well with the series:

The AI Habit: How to Turn One Prompt into a Daily Time-Saver — build the routine that makes the series stick
10 Copy-Paste Prompts That Save SMBs Hours — a ready-made prompt library to practise on
Automation That Doesn't Break: The 3 Guardrails Every SMB Needs — once the prompts are working, safe automation is next