Multi-model side-by-side
Compare Claude, GPT, Gemini, local — same prompt, different answers, in one view. Pick the model that fits the question, not the vendor.
Built in · Personal
Ask. Get a real answer.
Type a question. Get a real answer. Multi-model, multi-turn, with the right context already loaded — and threads that persist, branch, and remember.
What it does
Conversation, treated like work.
Threads that branch
Fork a thread to try a different angle without losing the original. Walk back, walk forward, keep both alive.
Context you control
Pin files, open records, web pages. Operator only sees what you attach — explicit, not implicit.
Persists, on purpose
Threads survive sessions. Come back tomorrow, the conversation is where you left it. Revisit, refine, build on.
Operator alongside
Inside Ask, the Operator can still act — run a tool, draft a doc, fetch a fact — without leaving the thread.
Export to anywhere
A thread becomes a doc, a runbook, a Grasp, a draft email. Whatever the right next step is.
In practice
Three ways teams actually use it.
Refine a vague brief
"Help me think through the rollout for X." Multi-turn, multi-angle, until the plan exists.
Compare model behavior
Same question, three models, side by side. Pick the one whose reasoning you trust for this kind of task.
Research, then act
Read, fetch, summarize, attach sources. When the answer is good enough, hand off to a Space that can run with it.