Catch what’s missing before it becomes a ticket

Describe the work in plain language, the way you’d write a Slack message or a Jira ticket draft. LucidSpec reasons about what’s actually missing using the same grounding rules every time, not a form to fill out first.

No template to memorize, no separate intake process to follow before a request even gets looked at.

Every request is checked against required facts specific to engineering change and bug-fix work: target, environment, change scope, and rollback plan are treated as blocking; deployment path, dependencies, validation, and human review are shown as advisory.

Returns one of three states — ready, partially ready with named gaps, or not ready — never a vague "needs more info."

An AI model proposes what’s present in a request, but a separate, deterministic check confirms the exact words are really there before anything is shown as fact.

Anything the AI can’t prove with real, quoted text is discarded — not shown as a claim you have to just trust.

Every gap comes with a plain-English line on why it actually matters, not just that it’s missing.

On blocking gaps, one click drafts a question to the requester — reusing the same rubric language, edited and sent in seconds. This happens before a ticket is generated; once it’s generated, a separate check reviews it again.

When a message signals a change was written by an AI coding tool, LucidSpec adds one more required check: was this reviewed by a person, and how?

Ordinary human-authored requests are completely unaffected.

Once a ticket is generated, LucidSpec reviews it again: does the acceptance criteria actually cover the scenarios that matter — error handling, edge cases, rollback — and does anything contradict a field you already confirmed?

If your team has type-specific standards turned on, they’re checked here too, once the ticket’s real type is known. Every flag still comes with a plain-English reason, not a score.

Once a request is ready, LucidSpec generates a structured ticket — title, description, acceptance criteria, dependencies — built only from grounded facts, nothing invented.

Connect your own Jira, ServiceNow, or Linear once in account settings, and every finished ticket goes straight there. No admin setup, no shared integration — it’s your connection, in your account.

Sensitive data — emails, access keys, tokens — is masked before anything reaches the AI. Unsafe input is blocked before any AI call happens, every time, not just on request.