Citesvue
Product · Evidence Q&A

A copilot that refuses to answer without evidence.

If the recording doesn’t support the claim, Evidence Q&A doesn’t make the claim. Transcript answers cite quote, speaker, and timestamp immediately; after optional visual analysis, new answers can also cite on-screen text and frames.

Ask a question on a sample recordingSee citation mode output
Evidence Q&A · session #2148confidence 0.92
Screen-shared slides from session #2148. The playback cycles through the slide comparing annual and month-to-month tiers, the procurement guardrails slide with month-to-month billing struck through, and the Q3 budget tracker slide.
Maya Chen - Client
45:12
Q

Did the client agree to the new pricing model?

Partially. Maya accepted annual tiers1, but flagged month-to-month pricing as a blocker for procurement2. David asked to revisit after Q3 budgeting3.

The shape of an answer

What a cited answer actually looks like.

A working example, not a screenshot. The question above is real. So are the timestamps, the speakers, and the quotes underneath. The same shape ships from every Citesvue recording.

Why this design exists

Hallucination is the default. We built around it.

Most LLMs produce answers first and justify them second. Evidence Q&A inverts that: the system retrieves grounded transcript segments and stable transcript artifacts first, then constrains the answer to what they support. When an active visual generation exists, scenes, OCR, and visual findings join that retrieval set.

If the evidence is thin, the copilot says so - and shows the thinnest spot, not a confident fabrication. This is the difference between a useful tool in a regulated meeting and a liability.

The pipeline

How a question becomes an answer.

  1. 01

    Parse

    Query is parsed and expanded - synonyms, speaker references, time expressions.

  2. 02

    Retrieve

    The core transcript and artifact index is always searched; an active visual generation adds scenes, OCR, and visual findings.

  3. 03

    Triage

    Low-confidence evidence is flagged rather than silently dropped.

  4. 04

    Compose

    Answer is built only from retrieved content - never beyond it.

  5. 05

    Cite

    Every claim binds to one or more citations; the UI renders them inline.

Question shapes

What the copilot can answer.

Factual
  • “What version were we testing?”
  • “Who approved the scope change?”
  • “What error did the payment page throw?”
Synthetic
  • “Summarise every objection raised during the demo.”
  • “What did Maya actually decide vs. defer?”
  • “Which bugs did the client call critical?”
Comparative
  • “How does this session’s feedback differ from last week’s?”
  • “Did anyone contradict the architect on the auth design?”
  • “What changed between cycle 4 and cycle 5?”
Multi-turn memory

Follow-ups work - every turn still cites.

Ask “what else did Maya flag as a blocker?” and the copilot tracks the referent without re-asking who Maya is or which session you meant. Conversation memory never replaces evidence grounding - every turn carries its own citations.

Citation mode

Answers that travel with their proof.

Switch to citation mode for answers built claim-by-claim on their evidence, then push a grounded answer - citations attached - straight to Notion, Slack, or your own webhook. Designed for QA sign-off, client deliverables, and any conversation where “prove it” is a real question.

Built-in honesty

Four things the copilot does instead of guessing.

Declines

“The recording doesn’t cover this.”

Hedges

“Maya implied this around 31:20 but did not confirm.”

Ranks

Confidence score surfaced on every answer.

Dissents

Flags speaker disagreement instead of averaging it out.

Where it earns its keep

Use cases that depend on this.

Built for moments when the answer must hold up under scrutiny.

Scenario · 01PM

UAT sign-off

A PM needs to prove the client approved scope changes before shipping. Cited answers carry the moment they were spoken.

Outcome · Sign-off in minutes, with evidence attached.
Scenario · 02AE

Sales QBR prep

An AE pulls every objection the champion raised in the last three calls - across recordings, not from memory.

Outcome · Faster prep, fewer surprises in the room.
Scenario · 03Eng

Incident retros

A staff engineer reconstructs the decision sequence from a three-hour war room recording.

Outcome · Clear, defensible incident timeline.
Scenario · 04Research

Cross-session synthesis

A researcher asks one question across eight interviews and gets a per-interview citation trail back.

Outcome · Synthesis with sources, not vibes.
Limits, on purpose

What the copilot will not do.

  • No speculation

    beyond the evidence.

  • No training

    on your recordings.

  • No answers

    without at least one citation.

  • No silent downgrade

    when evidence is weak - say so instead.

Common questions

What enterprise buyers ask about Evidence Q&A.

  • No. Customer recordings and the structured artifacts derived from them are never used to train the underlying models. Ever.
  • Retrieval-first architecture: the system fetches grounded transcript segments and stable artifacts before composing anything. An active visual generation adds scenes, OCR, and frame evidence. Low-support answers are declined or hedged, not fabricated.
  • Yes. Transcript Q&A is available as soon as the transcript-first pass completes and remains usable while visual evidence processes. Questions that require the screen explain that it has not been analyzed yet and offer the visual-evidence action.
  • Yes. Ask across the whole workspace, one project, or a single recording - project scope covers the documents in that project too. Finer filters such as speaker and date range are on the roadmap.
  • BYOK is on the Enterprise track - bring your own OpenAI, Anthropic, or Bedrock key. Talk to sales to scope.
  • It stays in your workspace so playback keeps working, counting against plan storage. Deleting a recording removes the media and the queryable index - transcript, frames, artifacts - together.
  • Not yet. Q&A lives in the product today; a public API with the same cited response shape is on the roadmap.
Continue exploring

What grounds - and consumes - the same index.

Closing argument

Your next recording could be
your most
valuable asset.

Or it could sit in a Drive folder nobody opens again. The difference is whether it has citations attached.

Start free - no credit cardBook a 20-minute walkthrough
  • SetupOne drag-and-drop upload, or send the notetaker. No plugins.
  • First insightCited Q&A on a 60-min recording in under 6 minutes.
  • Cancel anytimeFull data export, full right to erasure.