Interview footage rough-cut production workbench

Reduce manual assembly time while keeping editorial control of the cut. For video teams and creative agencies turning interview or long footage into rough cuts, convert licensed footage, transcripts, brand rules and edit constraints into editor-approved rough cuts and clip sets linked to timeline exports. The benefit is a testable hypothesis, measured through accepted rough cuts per editor hour and corrections after review; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect licensed footage, transcripts, brand rules and edit constraints, then follow this sequence: 1. Ingest raw footage and transcripts. 2. Generate a first rough cut from raw footage. 3. Identify key topics and soundbites. 4. Apply visual and audio cues for cuts, captions and b-roll. 5. Export timelines to the buyer's editing software. Resolve uncertain cases with qualified reviewers, approve editor-approved rough cuts and clip sets linked to timeline exports, and measure accepted rough cuts per editor hour and corrections after review against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed delivery format and licensed music and footage set; final editorial and compliance checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve author voice, source attribution, quotation accuracy and usage permissions. Editors approve substantive changes and publication scope. One fixed delivery format and licensed music and footage set; final editorial and compliance checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One fixed delivery format and licensed music and footage set; final editorial and compliance checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: ingest raw footage and transcripts; generate a first rough cut from raw footage. Support the remaining modules with operator review: identify key topics and soundbites; apply visual and audio cues; export timelines. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Client-owned footage, authorized interviews and permitted music and stock sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Footage intake and brief, Editable production preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome editor-approved rough cuts and clip sets linked to timeline exports visible beside its evidence, review state and value baseline.