Hamster gives your team five shared concepts to work with: Direction, Discovery, Delivery, Knowledge, and the Brief as the unit of work that crosses them. Together they give AI the context it needs to move work from 70% to 99%: not just plausible, but specific enough to ship.
The English layer is what compounds. Hamster drafts the Brief from your chat, the Plan from the Brief, and the Blueprint from your Context Graph; your team shapes it, aligns, and signs off. Plans, Tasks, and PRs are generated from there. Six months in, you're drawing on six months of structured thinking nobody had to stop and write up.
The English layer runs both ways. The next Brief that draws on a Blueprint starts from its current state. The Blueprint catches up when a codebase or doc sync brings something new. Humans and the AI read from the same surface, so the whole team gets the velocity engineers have been getting alone.
Set Goals with Metrics, targets, and per-period Results in the framework your team already uses (OKR, North Star, OGSM, V2MOM, AARRR, HEART).
Turn a hunch into Brief-level context: the user need, constraints, evidence, and acceptance criteria the team and AI can agree on.
Close the loop from Briefs to Plans, Tasks, and PRs through Cloud Agents, CLI, and MCP Server, with the same context at every step.
Blueprints, Methods, and the Context Graph keep each AI loop grounded so the last 30% does not drift away from what your team meant.
Capture context once and let everyone work from the same artefact. A Brief carries the Goal, scope, user need, success criteria, and grounding context.
Getting Started walks the first ten minutes: connect a tool or two, open your first chat, and ship something.
Setting up admin for a larger team? See Small teams, Startups & mid-size, or Enterprise & scaling. Joining an existing workspace? See Joining a team on Hamster.