Choosing Your AI Stack in 2026

ChatGPT, Claude, Gemini, Copilot and open-weight models: how to choose on data handling, connections and fit rather than leaderboards.

Quality differences between the leading models have narrowed to the point where fit matters more than benchmark position, and yet most people choose on hype and then never touch the settings that would have made the biggest difference. This course gives you a decision framework built on the four things that genuinely differentiate tools: where your data goes, what the tool is connected to, reasoning depth versus speed, and modality. You will map tools to jobs, learn which settings change output more than your prompt does, and set yourself up to switch vendors later without losing everything you built.

What you'll learn

• Choose an AI tool on data handling, connections, depth and modality
• Read the 2026 landscape without being captured by vendor hype
• Know exactly what a paid tier buys you and when it is justified
• Match the right tool to document, data, research and creative jobs
• Configure the settings that change output more than prompting does
• Stay portable so switching vendors costs you a copy-paste, not a rebuild

Course content

1. 1. The four things that actually differentiate models (15 min)
2. 2. The 2026 landscape, honestly (15 min)
3. 3. Free versus paid: what you are actually buying (15 min)
4. 4. Matching the tool to the job (15 min)
5. 5. Settings that change output more than your prompt (15 min)
6. 6. Switching costs, lock-in, and staying portable (15 min)

Related courses

• AI Fluency Foundations: How LLMs Actually Work — No code, no maths: what a language model is really doing, why it hallucinates, where your data goes, and what it is genuinely good at.
• Prompting That Works: The Universal Framework — One reusable five-part brief that gets usable output from any model, plus the examples, reasoning checks and iteration habits that make it stick.
• AI Agents Explained: From Chatbots to Autonomous Workflows — What an agent really is, what it is genuinely good for in 2026, how to design one you can trust, and how to build your first without code.