Platform
Browser review sandbox
Run the review and manual-coding demo locally in the browser without an account.
Implemented task
Public task
Review a synthetic suggestion or create a manual code in the browser sandbox.
Expected outcome: The synthetic browser dataset records the local review interaction without an account.
Declared product contract
Inputs and task boundary
Inputs
- The bundled synthetic review dataset
Input constraints
- The sandbox is a synthetic browser demo and not a complete production workspace.
User actions
- Open the browser sandbox without an account.
- Review a synthetic suggestion or select text for manual coding.
- Inspect the local synthetic result.
Outputs
- A browser-local synthetic review or manual coding interaction.
Decision boundary
Where it fits
- Trying the review interaction without uploading research content or creating an account.
Outside the boundary
Where it does not fit
- A complete local production workspace or durable collaborative project.
Current scope
Limitations
- The sandbox is not a complete local production workspace.
Verification
Product proof
journey
proof.m2-analysis-kernel
- Verified
- Review due
- Expires
- All five locator kinds, overlap, multiple codes, and exact evidence return are covered.
- Codebook, memo, history, research connections, and withdrawal child journeys pass.
- Every child artifact is hashed and rerun from a fresh database.
Failure boundary: The proof covers the completed M2 kernel, not M3 cases, matrices, or later collaboration rounds.
OpenVerbatim is an open-source (Apache-2.0) qualitative data analysis platform for coding and analyzing interview transcripts. AI-suggested codes stay marked as suggestions until a human reviewer confirms or rejects them, and every decision is kept in an audit trail. The full feature set is available when self-hosted; there is no paid feature wall.