LAXIMA — AI automation portalFUTUREPROOF

LAXIMA is a free, open portal about AI automation - practical guides, curated frontier-AI news, and hands-on tools. No pitch, no sales team. Just what we're learning about putting AI to work, shared in the open.

Read the blog AI SignalFree tools

A portal, not a pitch

Everything here is free.

LAXIMA is an open resource for people building with AI automation. Read the guides, use the tools, follow the news - there’s nothing to buy and no sign-up. Start anywhere.

01In-depth articles

LAXIMA Blog

Deep-dives on AI automation, agents, workflows, and the tooling that ties them together - written to be read, not to pitch.

Open
02Refreshed every 4h

AI Signal

Curated frontier-AI, code, and model news from Hacker News, GitHub, and Hugging Face. Signal, not noise - filtered by hand.

Open
03No sign-up

Free Tools

An LLM picker, a context-window and cost checker, an AI-readiness assessment, and a copy-paste prompt library. All free.

Open

Editorial standards

How this site is made.

LAXIMA is an independent portal about applied AI and business automation, published by LAXIMA SYSTEMS. It exists for people who have to make decisions about this technology rather than have opinions about it: founders working out what to automate first, operators comparing models and vendors, and engineers who need a real number instead of a launch-post adjective. Three things sit here — long-form guides, a filtered news feed, and free tools that compute in your browser — and the rules below govern all of them.

A person decides what gets published

We use AI tools in our own drafting and research, which would be a strange thing to hide on a site about applying AI. What that does not mean is publishing model output unread. Drafts go through an automated quality pass that flags padding, generic phrasing, uncited figures, and leads that fail to answer the question they promise — and then through a person who checks the claims against primary sources, cuts what does not earn its place, and is accountable for what ships. Anything that would not help a real team do a real thing does not get published.

Numbers get checked against the source, not a secondary report

Model prices, context windows, and output limits are read from each provider's own pricing and documentation pages rather than aggregated from other sites, and every surface built on that catalog carries the date it was last verified — currently 2026-08-16. Where a figure is an estimate rather than a measurement, the interface says so at the point you read it. Where it is our own assumption, as with the automation percentages in the ROI calculator, the page names the assumption and shows you the value so you can substitute your own.

The news feed is filtered, not scraped into a wall

AI Signal pulls from Hacker News, GitHub, and Hugging Face every four hours, then throws most of it away. Each item that survives is scored and summarised so a day of AI news is a minute of reading, and links straight to the original source — we are a filter on top of other people's work and try to be honest about which is which. Rewriting someone else's post to keep the click would defeat the point of the feed.

Corrections are made, not quietly buried

This field changes monthly and some of what we publish will be wrong. When an error is reported we verify it, fix the article, update its modified date, and push the corrected version to search engines rather than waiting to be re-crawled. Errors in the tool data become code changes, usually live within a day. What we will not do is remove accurate coverage because a company would prefer it gone.

Free to read, funded by labelled advertising

There is nothing on this site to buy — no subscription, no gated download, no paid tier of the tools, and no sales team behind the contact form. Some pages carry display advertising served by Google AdSense, always visually separated from editorial content and never a factor in what we cover or how we rank a model. Individual news briefs carry no advertising at all.

Longer versions of all of this: About LAXIMA covers who publishes the site and why, the manifest sets out the positions behind the coverage, and contact is where corrections and data errors go. Found something wrong? That is the message we most want to receive.