Before you continue...

CARLOS is an AI-enabled project, and all CARLOS software to date has been entirely produced using a combination of LLM-based coding products from Anthropic, OpenAI, and open-weight alternatives. Whilst CARLOS represents an approach to apply these products toward new standards of openness and release of corporate ownership of internet-based software and data, we realise that there are folks for whom use of these products is unacceptable. With that said, if folks will continue to use AI to produce software, our mission is to show that AI unlocks ways to produce better software for everyone.

One of the principles behind the project is full disclosure of AI use, and AI-written language, starting here.

Case studies

CARLOS is built by the people behind Tito and Jelly, serving real customers, and extracted from the lessons learned in the process.

Tito

Two years in three months

Using the CARLOS principles, Team Tito build their latest release that combined their 10 year old Rails app and their most recent Pro app. CARLOS allows building new features at a velocity not seen before, and allowing customers to locate their data in any one of 7 regions.

Jelly

New opportunities from on-prem installs

Jelly's ground-up rewrite using Rastrillo meant that it inherited performance budgets and clean separation of customer data, along with the ability to deploy on-prem, unlocking sales opportunities that were impossible before.