Runs a multi-LLM discovery pipeline (Default 5-step or Expanded 7-step) that chains analysis, refinement, chaos-checking, and consolidation across LLMs, then breaks results into actionable VTS tasks. Use when the user wants to explore, validate, or plan an idea through multiple AI perspectives.
Delivers high-quality, production-grade code using Opus-level reasoning — clean architecture, thorough error handling, tests, and documentation. Use when the user asks for elegant solutions, quality-first code, architectural excellence, or best-practice implementations.
Performs deep, multi-pass exploration of a problem using Claude sub-agents — runs 3+ planning passes from different angles, then synthesizes insights into a holistic solution. Use when the user wants deep thinking, creative exploration, unconventional approaches, or multi-perspective analysis of a complex problem.
Generates comprehensive code and thorough analysis using OpenAI Codex sub-agents — handles large-scale code generation, exhaustive edge case coverage, and detailed boilerplate scaffolding. Use when the user wants comprehensive output, large code generation, thorough analysis, or 'give me everything' solutions.
Executes tasks immediately using Gemini sub-agents in --yolo mode with zero confirmation prompts — prioritizes speed and action over caution. Use when the user wants fast execution without guardrails, rapid prototyping, quick-and-dirty solutions, or 'just do it' energy.
Generate a new Vern persona using AI
Rerun a discovery pipeline on an existing project. Cleans previous output and re-runs with fresh config.
Run VernHole on existing discovery output. Point the council at a consolidation or master plan and get fresh perspectives.