Unsupervisedcom

Welcome new users to DeepWork — introduce features, set up reviews, and optionally record a first workflow

Run DeepWork Reviews on the current branch — review changed files using .deepreview rules

Creates a new LearningAgent with directory structure, core-knowledge.md, and Claude Code agent file. Guides the user through initial configuration.

Runs the learning cycle on all LearningAgent sessions with pending transcripts. Identifies issues, investigates root causes, and incorporates learnings into agent definitions.

Reference documentation for DeepWork Reviews — automated code review rules using .deepreview configs and DeepSchema-generated rules

Start or continue DeepWork workflows using MCP tools

Record a workflow by doing it — watch and learn approach to creating DeepWork jobs

Reads a session transcript and identifies issues where a LearningAgent made mistakes, had knowledge gaps, or underperformed. Creates issue files for each problem found.

Inspect and configure SemLang MCP for the current Pi project. Use when SemLang MCP is missing, broken, or needs project-local Pi setup.

Use when creating an initial SemLang ontology from a data source, optional documentation, and user validation of core entities, relationships, roles, situations, measures, and sample questions.

Use when reading, writing, or running SemLang semantic-model files, including reusable ontology changes, query workflows, and one-off SemLang analysis packages.