Product
Product knowledge is the bridge between intent and code.
Atono keeps what was built, why it was built, and what your team learned in one place. Humans and agents can carry that context from the first spec through implementation.
One workspace from plan to production.
Plan, build, deploy, and measure on the same story with the full context behind it.
“It’s refreshing to see a product built with true cross-functional collaboration in mind. The ability to toggle features directly from stories and generate bug reports with full diagnostic context is brilliant – huge time-saver for devs and QA alike.”
Specs that keep pace with engineering.
Specs get stale when they are written once and left behind. Living Stories evolve with the work, keeping acceptance criteria, decisions, discoveries, usage data, and feature flags connected.
The why, structured for agents.
Atono structures the reasoning behind stories through AI context. Agents access it over MCP, so they understand what was decided, learned, and actually changed before writing code.
Knowledge at the point of work.
Most teams reconstruct context every time work changes hands. Story assistant starts specs with your existing product knowledge, then Atono makes that same context available whether they are in Atono or using connected tools through MCP.
Stop shipping almost-right.
When the context is right, everything that follows is too.