Your AI Requirements Engineer
Imports Jira and Linear tickets, checks them against EARS syntax, flags vague terms, and rewrites rough ideas into testable shall-statements.
Built for one job, executed flawlessly. Every feature below runs end-to-end without you watching.
Runs automatically once Prism is connected to your tools. You stay in control with approval steps you can switch on or off.
Runs automatically once Prism is connected to your tools. You stay in control with approval steps you can switch on or off.
Runs automatically once Prism is connected to your tools. You stay in control with approval steps you can switch on or off.
Runs automatically once Prism is connected to your tools. You stay in control with approval steps you can switch on or off.
Three steps from signup to your first hour saved.

One-click OAuth. Prism only reads tickets and writes back the approved EARS line.
Vague terms, escape clauses, and multi-requirement sentences are flagged. Prism proposes a clean EARS rewrite.
Approve in chat or on /requirements. The EARS version appears in the source ticket so devs build from the canonical statement, not the original draft.
Real moments where Prism takes work off your plate.
Run a sprint of vague tickets through Prism and get testable acceptance criteria for each.
Before refinement, Prism tags requirements that are ambiguous so the meeting focuses on real questions, not phrasing.
After approve, generate Given/When/Then test cases from the EARS statement so QA has a head start.
No promises about outcomes, just the capabilities you get on day one.
Pulls projects and tickets from your workspace and surfaces them in a picker so you choose what to analyse.
"Fast", "user-friendly", "appropriate". Prism catches the ambiguity that makes requirements untestable.
Distills the title and description into one Ubiquitous, Event-driven, State-driven, Unwanted, or Optional shall-statement.
When you approve, the EARS version is appended to the Jira or Linear description so the team sees the canonical requirement where they already work.
What people ask before hiring Prism.
Each AI employee handles one job end-to-end. Hire just one, or all six.