Magic Loops – Combine LLMs and code to create simple automations
Howdy! We built this as an experiment in personal-programming, combining the best of LLMs and code to help automate tasks around you. I personally use it to track the tides and get notified when certain conditions are met, something that pure LLMs had trouble dealing with and pure code was often too brittle for. We created it after getting frustrated with the inability of LLMs to deal with numbers and the various hoops we had to jump through to make ChatGPT output repeatable. At the core, Magic Loops are just a series of "blocks" (JSON) that can be triggered with different inputs (email,…
Magic Loops – Combine LLMs and code to create simple automations launched on August 1, 2023 with 248 votes, #136 of 4,347 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Magic Loops is an automation platform that combines large language models with executable code to help users automate tasks. It uses JSON-based blocks that can be triggered by email, time, or webhooks, then process inputs using both LLMs and sandboxed code before outputting results. The tool addresses limitations of pure LLM approaches by handling numerical data and producing repeatable outputs, making it suitable for developers and technical users building personal automations.
written from the facts on this page · September 2026
From the sources
Combine LLMs and code to create simple automations
Fair and transparent pricing. Every paid plan is $1 USD per 1000 credits. Expand your creativity, add fun to your workflows, and turn boring tasks into useful automations. Join thousands of makers who are building amazing apps without writing a single line offrom magicloops.dev
In the maker’s words, at launch
Howdy! We built this as an experiment in personal-programming, combining the best of LLMs and code to help automate tasks around you. I personally use it to track the tides and get notified when certain conditions are met, something that pure LLMs had trouble dealing with and pure code was often too brittle for. We…
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