Turn documented intent into a test-coverage map — inventory the tests that exist today, derive use-case cases from the system docs, separate existing coverage from proposed tests and unverified gaps, mark each unit / guarded-live / manual, and recommend a green-before-merge CI gate.
Static performance audit of AI-built code — find N+1 queries and request waterfalls, over-fetching, missing indexes, and caching opportunities, ranked by effort and impact.
Find, catalog, deduplicate, and optionally inventory bounded sets of artifacts, examples, resources, memes, tools, entities, media, or other collectible things.
Deep multi-agent research on a topic, question, or thesis. Launches parallel agents to search the web, ingests sources, and compiles them into active wiki articles. Thesis mode provides for/against evidence framing with a verdict.
LLM wiki knowledge base — understands natural language. Say what you want (use a personal specialist method, edit an external resource through a registered adapter, capture or shape an Idea, add a URL, collect a catalog, track inventory, ask a question, research, audit, or resume work) and it routes to the right…
Get briefed — loads your full memory, pulls live state from all connected tools, surfaces risks, staleness, upcoming milestones, and gives you a prioritized briefing so you're never starting blank.