AI Guides
Step-by-step tutorials and practical guides for getting the most out of AI tools.
What these guides cover
Every guide here answers one concrete question end to end, in the order you would actually hit it. They fall into three groups. Model selection guides compare specific models on specific work — which one to reach for when you are debugging a failing test rather than drafting a launch email. Platform guides explain how a unified workspace differs from stacking single-vendor subscriptions, and what you gain or give up either way. Billing and account guides walk through the administrative work nobody documents well: cancelling a subscription, moving a plan, and keeping a paper trail.
Where to start
If you write code, start with Best AI Model for Coding; it sets out how the leading models differ on debugging, refactoring, and long-context reading, and where each one stops being worth its price. If you are evaluating whether to consolidate several AI subscriptions into one, Unified AI Platforms covers the trade-offs honestly, including the cases where a single-vendor plan is still the better buy. If you are here to close an account, the cancellation guides give the exact click-path plus what happens to your data afterwards.
How they are maintained
Model pricing, context limits, and cancellation flows change often, and a guide that is six months stale is worse than no guide at all. Each one is re-checked against the vendor’s own documentation when the underlying product changes, and claims about pricing or benchmarks link straight to the primary source so you can confirm the number yourself rather than taking ours on trust.