Open Source

abloq — A Blog an Agent Operates, a Machine Locks the Verification

abloq — A Blog an Agent Operates, a Machine Locks the Verification

Hand a blog to an agent and the articles come out. The problem is you can't trust them — it fabricates sources, bumps the lastmod of an article it never touched, and edits files no one asked it to. If a human has to inspect every line, there was no point delegating. abloq's answer is a division of labor: generation is probabilistic, verification is deterministic. The only thing a human writes is a single insight specification (insight.yaml); authoring, translation, refresh, and evidence work are carried out by agents as quests; and quality is guaranteed by a deterministic gate derived from a single blog.yaml. A locked PASS is irreversible — the agent may be disposable, but progress accumulates.

reins — Keep Only the Domain in a Quest CLI; Make the Ratchet a Framework

reins — Keep Only the Domain in a Quest CLI; Make the Ratchet a Framework

how-make-quest taught you to build a quest CLI with your bare hands. But build a second CLI and you write the same ratchet, the same scan/next/submit, the same tallying all over again. reins pulls that invariant out into a framework — reins supplies the ratchet, the command skeleton, the tallying, and export; you implement only your domain's gate (the four methods of gate.Definition). The gate is a catalog of cheese-defense rules, and the toulmin defeat graph hands the agent a strategy guide for 'why you lost and what to change to win.'

huma -- A Ratchet That Never Skips an Endpoint

huma -- A Ratchet That Never Skips an Endpoint

When you ask an AI agent to test 42 endpoints, it declares 'done' around the 15th. huma turns the endpoint list into a ratchet session so the agent cannot skip a single one. scan, next, write, verify. Four commands, zero config.

yongol — The Keel of AI-Coded SaaS

yongol — The Keel of AI-Coded SaaS

Vibe coding collapses at 200 endpoints because AI cannot distinguish decisions from implementation details. yongol shifts the AI workload from code to 10 declarative specs and enforces cross-layer consistency before compilation. Harness with reins.