Free AI Tools

Which one do you need?

These are not six versions of the same thing. They sit at different points in the same decision, and picking the wrong one wastes your time — running an ROI calculation before you know whether the groundwork exists produces a number nobody can act on. In rough order of how early you are:

1. “Should we be doing this at all?” Start with the readiness assessment. Twenty-four questions across data, process, technology, team, strategy, and budget, scored per dimension so you can see which one is actually holding you back. Roughly eight minutes.
2. “Is it worth the money?” The ROI calculator takes four inputs and returns net annual savings after the cost of running the automation, plus a five-year view. Every assumption in the model is published on the page, so you can substitute your own figures where ours do not fit.
3. “Which model should we use?” The LLM picker ranks current frontier models against your requirements and puts any two side by side on quality, speed, context, and price. Use it when you have a specific job in mind — the answer genuinely differs between summarising documents and writing code.
4. “Will this actually fit — and what will it cost per call?” The context-window checker is the implementation-time tool. Paste the text or drop the file, see which models can take it and what each request costs. Everything runs in your browser, so it is safe to point at a document you cannot upload anywhere.
5. “I just need it to work today.” The prompt library is copy-paste prompts organised by business function, with the variables marked so you can fill them in before sending. No model setup required.

How these are built, and why they are free

Everything here computes locally. There is no account, no email wall, and no server round-trip for any calculation — token counts, fit verdicts, readiness scores, and savings arithmetic all run in your browser. That is partly a performance decision and mostly a privacy one: the context-window checker in particular is only useful if you can paste a contract into it without wondering where the text went.

The data behind them is hand-maintained rather than scraped. Model context windows, output limits, and prices are checked against each provider's own documentation and carry a last-verified date on the page that uses them. Where a number is an approximation — token counts for model families that publish no client-side tokenizer, for instance — it is labelled as one in the interface rather than in a footnote. Where a figure is our own assumption rather than a measurement, such as the automation percentages in the ROI model, the page says so and shows you the value.

They are free because LAXIMA is a portal rather than a product. Nothing here is a trial of something paid, results are not gated behind a form, and there is no sales follow-up — the site is funded by clearly labelled display advertising, as described in About LAXIMA. If you find an error in any of the data, tell us — corrections to the catalogs ship as code changes, usually within a day.