The Auto-Answer Loop

Context in.
Answers out.

Three components, one closed loop. This is what makes ReactLive different from every Q&A chat widget that came before it.

01 Context

Capture everything that matters.

Point ReactLive at a live speaker, a set of documents, a podcast back catalogue, or all three. Audio gets transcribed by Whisper-class speech-to-text in 16 languages. Documents get parsed. Everything becomes timestamped, cited, structured context the rest of the loop can reason over — not a blob, a graph.

Audio · Docs · URLsAll context types

< 400msTranscript latency

live_transcript.stream RECORDING

14:21:03"...our NPS climbed to 58 this quarter, up from 41..."

14:21:11"...we're rolling the pricing change to all tiers..."

14:21:19"...hiring is flat, not frozen, through year-end..."

14:21:26"...and we're shipping the beta in"

02 Match

Question meets context in under a second.

Every incoming question is embedded and compared against your context graph — whether that's a rolling transcript, a document set, or a back catalogue. If match confidence clears the threshold you set, ReactLive drafts an answer grounded in the exact source. If it doesn't, the question queues for the moderator — ranked by relevance, not upvotes.

match_confidence.eval

"Are we still on a hiring freeze?"94%

"What's the Q3 NPS number?"91%

"Any update on the Berlin office?"38%

Threshold

85%

Auto-answered

Queued

03 Answer

On your terms. In your voice.

A single SOUL.md file defines how ReactLive speaks on your behalf — tone, red lines, escalation rules, voice. No prompt engineering, no black box. Moderators can override, edit, or withhold any auto-answer before it ships.

SOUL.md markdown · 47 lines

# Tone

warm, direct, no jargon.

# Never

speculate on compensation,
legal matters, or HR actions.

# Always

cite the transcript timestamp.

# Escalate

questions tagged [exec] or [urgent].

Context in.Answers out.