Decisions,
not
dashboards.
cubby ai is a general AI agent — research, drafts, plans, code — built to return the single next decision instead of another tab to read.
Target · time-to-action under 10 min
§ 02 · Agent playback
Watch one decision happen, end to end.
Every output is reproducible. Question read, sources fetched, alternatives weighed, decision proposed — each step logged so the path is auditable later.
§ 03 · Capabilities
Capabilities
Research
Ranks claims by evidence strength. Returns the one source that decides each ranking, not a tab of 28 links.
Plan
Sorts work by cost-of-delay. Names the items cheap to defer and the items expensive to skip.
Write
Decision memos, one page. Rejected alternatives in the appendix, with the reason each one lost.
Code
Compact scripts, one job each. Thresholds you can tune in plain text, no scaffolding to read first.
§ 04 · How it runs
Three movements.
No platform to learn. No workspace to set up.
State the decision
You name the choice in front of you. cubby ai does not need a project brief or a workspace. One sentence is enough.
Agent does the work
Research, drafts, plans, code — whichever the decision needs. Every step logged so the path is auditable later.
Receive the decision
The next move first. Then the evidence. Then the alternatives cubby ai rejected, with reason. In that order, every time.
§ 05 · Pricing
Per decision. Per task. No seats.
§ 06 · Field notes
Field notes
6m
What's the next decision?
A pattern for agent UIs: surface the next decision before the data. Backed by AIOps research and the next-best-action literature.
Read ↗
7m
Cost of delay, as a triage signal
Reinertsen's cost of delay is the cleanest economic signal for AI agent triage. Borrow the math, drop the spreadsheet.
Read ↗