Gap detection · PRD enrichment · Ticket generation · Jira push — in one HITL flow.
Credits scale with PRD complexity. A small PRD costs ~10 credits. A large enterprise spec costs ~50. Unused credits roll over*Fair Accumulation PolicyUnused credits carry into your next month, capped per plan:
Starter: up to 550 · Pro: up to 2,000 · Team: up to 6,000.
All Standard plans have a 15-day free trial. Cancel any time within 15 days and you will not be charged.
140 credits / mo*Fair Accumulation PolicyUnused credits roll over, capped at 550 credits.
1 seat
580 credits / mo*Fair Accumulation PolicyUnused credits roll over, capped at 2,000 credits.
3 seats
1,650 credits / mo*Fair Accumulation PolicyUnused credits roll over, capped at 6,000 credits.
10 seats
How it compares
Every cell shows how much work the user still has to do at that stage. Grey means Spexsure handled it. Red means others left it to you.
PRD Writing
Gap Identification
PRD Strengthening
Epics & Stories
Acceptance Criteria
Subtasks
Hover or tap any cell for detail.
Other tools take your PRD and generate tickets. Spexsure asks: is this PRD actually ready?
Other tools
Take your PRD as given → generate tickets → you discover gaps mid-sprint
Spexsure
Score your PRD → surface every gap → fix the spec first → then generate tickets
The result
Tickets your engineers can actually implement without coming back to ask questions
Why Spexsure
Before Spexsure generates a single ticket, it checks your spec across 12 gap categories — missing error states, undefined edge cases, incomplete acceptance criteria, and more. It fixes the spec first. Then builds the backlog.
Spexsure
The only tool that analyses your PRD before generating tickets. Gap detection across 12 categories with a 0–100 completeness score — problems are fixed before the sprint begins, not during it.
Atlassian Intelligence
Scans your Confluence page and creates tasks — but by Atlassian's own admission may "potentially miss some" items. Ticket quality is entirely bounded by the quality of the input PRD.
ChatPRD
Strong at helping you write a better PRD through conversational coaching. But coaching is not detection — there is no structured gap analysis, no severity rating, and no completeness score.
Dume.ai
A capable general-purpose AI assistant that can generate PRDs from scratch and push tickets to Jira. Built for breadth across many tasks, not depth on requirement quality.
TicketGenius
Excellent at improving individual ticket quality inside Jira. But it operates at the ticket level — it has no visibility into the PRD above it and cannot detect gaps that span multiple requirements.
Cursor + MCP
A powerful ad-hoc workflow for technical teams already living in Cursor. Output quality varies with prompt skill. Not a structured product — and not accessible to non-technical PMs.
| Tool | What it does | PRD input | Gap detection | Score 0–100 | Tickets | Jira push | Linear push |
|---|---|---|---|---|---|---|---|
Spexsure PRD intelligence platform | Analyses PRD across 12 gap categories, scores completeness 0–100, enriches the spec, then generates full ticket hierarchy with acceptance criteria and story point estimates | July 2026 | |||||
Atlassian Intelligence Built into Jira + Confluence | Scans a Confluence page and generates Jira tasks. Summarises existing tickets and auto-fills fields on issues already in your board | ~ | |||||
ChatPRD AI PM writing assistant | Chat-based tool for writing and improving PRDs. Can break a finalised PRD into Linear epics and stories via conversational prompts | ~ | ~ | ||||
Dume.ai AI executive assistant | General-purpose AI assistant connecting Gmail, Calendar, Jira, Slack and Notion. Can generate PRDs from a brief idea and push tickets to Jira | ||||||
TicketGenius Jira Marketplace app | Lives inside Jira. Type a short summary to generate a full ticket description, user story, and acceptance criteria. Can auto-create sub-tasks on new stories | ||||||
Cursor + MCP Ad-hoc workflow | Engineers and PMs use Cursor IDE to write PRDs in Markdown, then prompt the AI to create epics and stories in Jira or Linear via MCP integration |
Key: green check = yes · red X = no · ~ = partial · Pricing as of June 2026 · Sources: vendor sites, Atlassian docs, eesel.ai
Seven steps from raw PRD to a Jira board your team can sprint on.
Paste or upload your PRD
Drop in a PDF, DOCX, or paste raw text. Spexsure handles any format.
AI scores your PRD across 12 categories
Coverage, clarity, edge cases, acceptance criteria, non-functionals and more — scored 0–100 in seconds.
Review and accept gap suggestions
See exactly what's missing and why. Accept, dismiss, or edit each suggestion before we fix anything.
AI enriches your PRD
Accepted gaps are woven back into the document. Your spec is now complete and contradiction-free.
Review the enriched PRD
Section-by-section review canvas. Accept AI additions or revert to your original text — full control.
Generate your sprint backlog
Two-pass AI produces epics, stories and subtasks with acceptance criteria and story point estimates.
Push directly to Jira
One click sends your entire backlog to your Jira board. No copy-paste. No reformatting.