Your AI is fast. It’s also wrong.
Every time you write specs or stories with AI, it’s guessing confidently. Atono turns your documentation into a structured glossary of your product’s concepts, so your AI and team build with shared product context from the start.
Teams only realize tasks or dependencies are missing after development starts. Plans look clear at the start, but break once implementation begins.
Product context often lives in individual memory instead of somewhere the team can reference. When people leave, the context behind decisions leaves with them.
Developers manage prompts and assumptions individually, even within the same team. The same AI tools end up working from completely different understandings of the product.
AI adoption is high in coding, but almost nonexistent in defining what should be built. The upstream work that shapes every sprint is where AI is used the least.
AI doesn't understand your product language
Every product has internal concepts with specific meanings. Without shared product context, that language isn't clear to AI, so it guesses.
How Atono builds product context
Atono reads your documentation and extracts key concepts, definitions, and relationships into a structured product glossary your AI can use.
How it works
It takes minutes to set up – and replaces “almost right” with actually right.
Connect your docs
Paste a link to your docs, help center, or knowledge base. Atono reads your documentation and identifies the concepts that define your product.
Structure your product context
Atono builds a structured glossary of your product’s concepts, including definitions, synonyms, and relationships, and how they relate. This gives you product context your team and AI can use.
Write with AI that understands your product
Export the glossary to write stories, specs, and prompts with your product context built in so AI generates work that actually reflects how your product works.
“We built the Product Glossary for ourselves at Atono and ran it on our own work. 60% of the AI-generated stories needed changes, and it even caught features we had labeled as new that were actually enhancements. That kind of mistake easily costs a sprint.”
Try it on your docs
Paste a link to your documentation and Atono builds a product glossary in minutes, so your team and AI share the same product context.