Cases4AI is built by stacking several frontier models, ChatGPT, Grok Bot and Claude, so each one does what it does best and another one checks the work.
I’m an early adopter, not a coder, and I learn by doing. I started with Claude, then added OpenAI’s models, and then moved into Grok Bot. Most of what I know, and most of the skills behind this site, came from that stacking.
What “stacking” means
Stacking means using more than one AI model on the same job instead of betting everything on one. A model is the engine: the part that learned from lots of examples and turns your words into an answer. The app around it, with its tools, memory and rules, is the harness, like the car around the engine. Put them together and you get an agent: something that can go and do a task for you.
The most capable engines at any moment are called frontier models. ChatGPT comes from OpenAI, Grok Bot from SpaceXSI (formerly xAI) and Claude from Anthropic.
Why we stack
- Different strengths. Each one is built a little differently. Each is ahead in some areas and behind in others, and that changes every few months.
- A second pair of eyes. Any model can be confidently wrong. When one model writes and a different one checks the work against sources, mistakes are easier to catch. Anthropic describes this pattern: “one LLM call generates a response while another provides evaluation and feedback in a loop.”
- No single point of failure. If one tool changes or has a bad day, the work keeps going.
You don’t need to stack to get started. Anthropic’s own advice is to begin with “the simplest solution possible.” One assistant, used well, is a great first step.
How the AIR-T checks the work
The AIR-T, short for AI Research, Team, is how this site gets made. It stacks these models and checks one against another: a draft from one model gets checked by a different one, against the sources. The Grok Bot page, for example, was also checked by a Claude model and an OpenAI model, because Grok Bot helps build this site. A person reviews and approves every piece before it goes live.
The credit belongs to the models and the AIR-T together, not to any single model.
These are my habits, not rules. Each page shows where the others also fit.
How to read these pages
- Facts come with sources and dates. What a tool does links to the maker’s own page and is labeled as the maker’s claim.
- Things change fast. Everything here is as of Oct 2026. We show no prices, because those change even faster.
- You stay in charge. Whichever tool you pick, give your OK before anything is bought, booked, sent or posted.
AI 101
New to these words? Start with frontier model, AI model, agent and harness.