---
title: Verified Video Answer Surfaces
created: 2026-06-27
updated: 2026-06-30
type: concept
status: compiled
namespace: ai-native-product-surfaces
tags: [ai-native-product-surfaces, video-ai, product-framing, interaction-design]
sources:
  - Knowledge/concepts/verified-video-answer-surfaces.md
  - Knowledge/concepts/video-retrieve-then-verify-loop.md
  - Knowledge/concepts/agent-output-decision-artifacts.md
confidence: high
---

# Verified Video Answer Surfaces

**Verified Video Answer Surfaces** turn video AI from a ranked search box into an evidence-backed answer workflow:

```text
question -> verified moments -> evidence cards -> clips/report -> next action
```

The answer should show the moment, timestamp, confidence, evidence, and coverage boundary.

## Shifu pivot note

Shifu's current best framing is not “AI understands video.” It is a local video workbench that helps users find, verify, save, compare, and export moments with visible timestamps and evidence. AI is an assistant for transcript search, suggested tags, candidate expansion, and verifier notes only where it earns trust.

For gameplay VODs, the primary surface may be workflow plus structured evidence: timeline marks, round tags, HUD/OCR state, killfeed/spike/phase metadata, manual corrections, collections, notes, and exports.

## Surface contract

A useful verified-video answer includes:

1. interpreted question;
2. searched videos / time range / camera or source scope;
3. verified moments with clip, timestamp, confidence, and evidence sentence;
4. evidence trail: frame, transcript/caption excerpt, modality signal, and source video handle;
5. explicit no-match state when weak candidates are rejected;
6. recall warning for "every X" queries;
7. next action: save clip, export report, refine search, mark false positive/negative, or ask a follow-up.

## Product wedge formula

```text
For [person who scrubs video],
find [repeated high-value moment],
return [timestamped clips + evidence + confidence],
so they can [make a decision / create an artifact / coach / report / publish].
```

Examples:

- coach -> fast breaks, press breaks, missed rotations -> film-review clips;
- creator -> beat, quote, visual action -> exportable clips;
- training lead -> correct/incorrect procedure -> teaching examples;
- operations lead -> candidate incidents -> verified report with rejected false alarms separated.

## UI mode guidance

- **Direct UI:** video library, timeline, filters, saved clips.
- **Agentic delegation:** long ingest, batch indexing, recurring scans, report generation.
- **Generative UI:** answer cards, evidence strips, comparison views, recall/coverage warnings.
- **Stable truth/routing:** source IDs, timestamps, captions, transcripts, verdicts, and eval logs.

## Quality bar

Measure precision of verified results, recall for "every X" claims, time saved versus manual scrubbing, evidence-card trust, false-positive correction, false-negative discovery, and whether a returned report can be shared without redoing the review.

## Boundaries

- Do not promise "find every" without recall measurement.
- Do not treat top-k ranking as a verified answer.
- Do not hide transcript/commentary dependence when target footage may be silent.
- Do not build real-time/multi-camera/alerting infrastructure before the verified answer loop works.
- Do not make AI the source of truth for precise gameplay state.
- Do not judge a Tonbi-style implementation before captions/transcripts/fusion/verifier are wired.

## Related pages

- [[video-retrieve-then-verify-loop|Video Retrieve-Then-Verify Loop]]
- [[agent-output-decision-artifacts|Agent Output Decision Artifacts]]
- [[interaction-mode-routing|Interaction Mode Routing]]
- [[material-loop-and-glass-interfaces|Material Loop and Glass Interfaces]]
- [[world-model-control-surfaces|World Model Control Surfaces]]

## Source

Compiled from `Knowledge/concepts/verified-video-answer-surfaces.md` and adjacent AI-native product-surface concepts.