What problem does it solve? Managing GPD workflow configuration manually requires editing .gpd/config.json by hand and knowing every valid key, which is error-prone and easy to get wrong across different runtimes. ## Core Features & Use Cases - Interactive Settings Prompt: Presents a single multi-question form covering autonomy level, research mode, research profile, workflow agent toggles, review cadence, parallelization, and git branching strategy. - Runtime-Aware Tier Model Overrides: Detects the active runtime and lets you pin explicit tier-1, tier-2, and tier-3 model strings in that runtime's native identifier format, or fall back to runtime defaults. - Config Merging and Confirmation: Reads existing .gpd/config.json, merges new answers without clobbering other runtimes' overrides, and displays a summary table with quick command references. - Use Case: After installing GPD in a new repository, run the settings workflow once to choose a balanced autonomy level, enable the plan checker and verifier, and set per-phase git branching before starting plan-execute cycles. ## Quick Start Ask the AI to run the GPD settings workflow to configure research profile, tier models, and workflow toggles for this project.