AI story writing that knows your product.

Frequently asked questions

• Do I need to build a glossary before I can use Story assistant?

  

  No. You can start without one. Story assistant can use context attached to the story, including Design Decisions, while a glossary adds your product’s shared terminology and definitions. Building it early helps keep specs consistent with the language your team already uses.

• How is Story assistant different from other AI story writing tools?

  

  Most AI story-writing tools generate specs from the prompt alone. Story Assistant can also draw on your glossary, relevant AI Context, and related stories in the same epic. This gives it more of the product context needed to draft specs that reflect your terminology and decisions.

• What if Story assistant generates something that doesn't match our product?

  

  You’re in control. Every story starts as a draft that you can review and edit. Story Assistant remembers the details within the conversation as it helps shape the story, and relevant decisions can be captured as Design Decisions for future use.

• Can we use Story assistant with Jira or Linear?

  

  Story assistant lives in Atono where your specs are authored and refined. When you're ready, you can sync to Jira, Linear, or other tools.

• How much faster is spec writing with Story assistant?

  

  Spec writing is faster when your specs don't need another validation cycle. Without product context as an anchor, teams spend time validating and rewriting AI-generated specs. Story assistant cuts that by keeping specs grounded in your actual product from the start. Real speed means fewer cycles, not just faster typing.

• What's the difference between Story assistant and just using ChatGPT?

  

  ChatGPT only knows the product context you provide in the conversation. Story Assistant can use the context available in Atono, including your product glossary, AI context, and related stories in the same epic. You spend less time rebuilding the same context in every prompt.