Disciplined AI Collaboration: a method for building software with AI. One loop at every size, rules held by checks rather than attention, state derived rather than written, evidence in place of claims. Includes the PAG grammar, an architecture and a queryable ontology. Every page is also served as Markdown and JSON at banes-lab.com.
Varietyz/Disciplined-AI-Software-Development
Agent Claude Code
Audits an agent against universal agent-quality standards by walking the four-layer ten-node derivation-loop — DSL compliance, algorithmic embodiment, portability, capability awareness, evidence grounding — gating the audit+correction scope by worth (teleology), measuring on counted thresholded dimensions, verifying…
Varietyz/Disciplined-AI-Software-Development
Agent Claude Code
Meta-agent that generates portable, evidence-grounded investigation agents by walking the four-layer ten-node derivation-loop — discovers the target domain from real resources, gates the highest-worth agent shape (teleology; the 3/5/7 rigor is a ranked choice), composes a runtime-neutral portable contract grounded in…
Varietyz/Disciplined-AI-Software-Development
Agent Claude Code
Runtime-agnostic forensic verification agent that walks the four-layer ten-node derivation-loop — discloses a trust anchor, ranks claims by verification worth (teleology), calibrates detectors + arms defenses, resolves each claim to an evidence requirement, gathers observations, gates op-set admissibility, and…