{"type":"post","slug":"liquid-ai-agent-loops","title":"Liquid AI agent loops","description":"Liquid AI gave two coding agents a real deadline and a genuine gap in the tokenizer tooling landscape, then wrote up what the loop and its verification infrastructure had to look like.","retrieval_nugget":"Liquid AI gave two coding agents a real deadline and a genuine gap in the tokenizer tooling landscape, then wrote up what the loop and its verification infrastructure had to look like.","published_at":"2026-09-02","updated_at":"2026-09-12","record_date":"2026-08-25","date_kind":"discovered_at","topics":["agent-retrieval","agents","ai"],"entities":["Liquid AI"],"source_url":"https://liquid.ai/blog/agent-loops","source_title":"Designing Loops for Production-Grade Work — Blog","source_domain":"liquid.ai","source_terms":["Liquid","loops","tokenizer","Production-Grade","real"],"summary_word_count":187,"schema_version":"newruntime-agent-readable-v0.2","stable_id":"post:liquid-ai-agent-loops","status":"published","source_urls":["https://liquid.ai/blog/agent-loops"],"visuals":[],"editorial_provenance":{"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:e43323498ee2ff4ca11cde58582bd8bc459172fef52e0170bb92c786c3a478ea","reviewed_at":"2026-09-12T10:00:00Z","source_evidence_count":1,"verified_claim_count":2,"site_analysis_schema_version":"newruntime-site-analysis-v1","site_object_kind":"field_note","observed_fact_count":2,"implication_count":1,"watch_condition_count":1,"related_record_count":3},"analysis":{"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"Liquid AI published an engineering account on 18 August of an experiment it ran in late 2025: could coding agents autonomously solve a production-grade problem from scratch?","observed_facts":[{"text":"The experiment produced an open-source byte-pair encoding tokenizer trainer called toktoktok.","source_urls":["https://liquid.ai/blog/agent-loops"]},{"text":"The write-up covers specifying a goal for multi-domain experts and setting up verification infrastructure around the loop.","source_urls":["https://liquid.ai/blog/agent-loops"]}],"mechanism":"The team needed a BPE tokenizer trainer able to process trillions of tokens on a single machine for its own research on vocabulary size in edge models, and found the existing landscape thin: sentencepiece was optimised for non-BPE tokenizers and slow.","why_now":"Two agents using the best publicly available coding models at the time were given a real problem and a real deadline, and the output — a byte-pair encoding tokenizer trainer called toktoktok — is now open source.","implications":["So the task was not a benchmark exercise but a gap they would otherwise have had to fill themselves, which is the only setting in which autonomy can be judged honestly."],"evidence_boundary":"This is a single retrospective experiment on one problem with models from late 2025, and the account is the operator's own without independent replication.","watch_conditions":["The condition to watch is whether the loop is re-run with current models against a second real gap, because a technique demonstrated once on a favourable target is a case study rather than a method."],"related_records":[{"url":"https://newruntime.com/posts/agent-work-is-moving-into-harnesses-factories-and-accepted-artifacts","relation":"Prior coverage of harnesses and accepted artifacts as the unit of work."},{"url":"https://newruntime.com/patterns/verification-bandwidth-is-the-scarce-resource","relation":"Existing pattern on verification capacity as the constraint."},{"url":"https://newruntime.com/topics/agent-harness","relation":"Topic hub for agent loop design."}]},"routes":{"html":"https://newruntime.com/posts/liquid-ai-agent-loops/","markdown":"https://newruntime.com/posts/liquid-ai-agent-loops.md","json":"https://newruntime.com/posts/liquid-ai-agent-loops.json"},"editor":{"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]},"next_reads":[{"type":"topic","path":"/topics/agent-retrieval/","url":"https://newruntime.com/topics/agent-retrieval/","title":"Agent Retrieval","reason":"Explore the agent-retrieval topic hub.","media_type":"text/html","markdown_url":"https://newruntime.com/topics/agent-retrieval.md","json_url":"https://newruntime.com/topics/agent-retrieval.json"},{"type":"topic","path":"/topics/agents/","url":"https://newruntime.com/topics/agents/","title":"Agents","reason":"Explore the agents topic 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