Your AI doesn't know your product. Yet.
Without the right context, your AI is guessing. Atono loads your real terms and actual concepts first – so your team builds the right thing, fast.
We tested our own AI specs. 60% needed changes.
Doug leads product at Atono. Like most PMs, he drafts with AI. The output looked right - the terminology didn't. So we built the Glossary - a shared vocabulary that grounds your team and every AI tool in your actual product. Then ran it on his own work. 60% needed changes before a single engineer could pick them up.
Specs and stories that match your product.
Atono drafts your user stories from a prompt, but before it writes a single word it loads your product's actual vocabulary – your real terms, your concepts, the way your team actually talks about the product. What comes out is a usable first draft – ready to review, not rewrite, before it reaches engineering.
Catch problems before code starts.
Atono builds a living record of context as your story evolves – design decisions, technical trade-offs, implementation changes. So when engineering picks it up, the reasoning is already there. No Slack archaeology. No guessing why it was scoped that way.
“Sure there's Linear and Jira, but while those products are deep and handle enterprise needs, Atono is meeting the moment by offering teams that value craft, high agency, and rapid execution to come together in a shared environment to build better products.”
Replace your stack or upgrade it.
Keep your tools and add what Atono knows
Works alongside Jira, Linear, Azure DevOps and Monday.dev – so your team keeps its workflow. Your PMs and AI tools get the full product context they've been missing.
One workspace from plan to production
Plan, build, ship and measure in one place – your team always builds with your full product context. Replaces Jira, your feature flag tool, and your analytics tool. One bill instead of three.
Free for up to 25 users forever. No credit card.
Frequently asked questions
How is Atono different from using ChatGPT or Claude to write stories?
ChatGPT and Claude draft from whatever context they're given – usually just a prompt. Atono loads your product's actual vocabulary before it writes a single word, so the output already uses your team's real terms, concepts and product-specific behaviour. The difference shows up immediately in the first draft.
What is terminology drift and why does it matter?
Does Atono work with Cursor and Claude Code?
Can Atono replace my agile planning tool?
What is an AI user story generator?
Is Atono free?