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Feature · Workspace · GPT console

A QA brain on
retainer.

Edge cases you have not thought of, assertions you have not written, strategies you have not tried — asked against your own uploaded specs. Try a question.

PDF & DOCX contextorganised by projectsame workspace login
gpt.qamind.ai — auth projectPRIVATE CHAT
▤ auth-requirements.pdfloaded as context

Answers grounded in the uploaded document — this simulation uses canned replies.

In the product

How it actually works.

1

Same login, separate console

gpt.qamind.ai sits behind your existing workspace auth — no separate account, no copy-pasting specs into a public chatbot.

2

Upload documents as context

Drop in the PRD as PDF or DOCX and ask against it — edge cases, test strategies, draft assertions. The answers cite what you gave it.

3

Conversations that persist

Chats organise by project and stick around — the reasoning behind last sprint's test decisions is findable, not lost in someone's browser tab.

qamind — feature walkthroughVIDEO

See these steps on screen

coming soon

A guided video of this exact flow is being recorded — it will live right here.

Spec sheet

The fine grain.

Context uploadPDF and DOCX documents per conversation
OrganisationConversations grouped by project, persisted
AuthYour QAMind workspace login — nothing separate
Cost5 tokens per message; reading history is free
DataCloud AI by default — self-hosted local mode available

Ask the question before the bug does.