Results for “responsible-ai”

Enforces a six-layer governance framework for AI agents: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks to ensure safe, thorough, and honest work.

Enforces evidence-based debugging, safety gates, and verification before every change to keep AI work correct and honest.

Enforces evidence-based debugging, safety gates, and anti-slack detection to keep AI agents thorough and honest during code changes.

Runs repeatable AI tasks as checked, budgeted workflow files with cost caps and tamper-evident traces.

Manages a personal operating system for content creation, relationship management, goal tracking, and weekly reviews using progressive disclosure and append-only data files.

Runs a structured five-round brainstorm to capture actors, features, scope, constraints, and business rules before writing a spec.