# Liquid AI — Designing Loops for Production-Grade Work

- Company: Liquid AI (liquid.ai)
- Announced: 2026-08-18
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.liquid.ai/blog/agent-loops
- Record: https://forck.live/items/16773-designing-loops-for-production-grade-work
- Subject: LFM / d1 models

Liquid AI describes an experiment in which two coding agents, using the best publicly available coding models at the time, were tasked with autonomously building a production-grade byte-pair encoding tokenizer trainer. The resulting tool, toktoktok, is now open source on GitHub. The post shares lessons on designing agent loops, specifying goals for multi-domain experts, and setting up verification infrastructure.

## Evidence

Verbatim from https://www.liquid.ai/blog/agent-loops:

> The result of this experiment is a tokenizer trainer called toktoktok , and is now open source on GitHub .

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Record: https://forck.live/items/16773-designing-loops-for-production-grade-work
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