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fazeZEROApplication Atlas

Demo listing. This page uses illustrative seed metadata to demonstrate the Atlas. Claims shown here are not verified product facts.

Probeask

Agent-assist that suggests proactive investigative questions in live chat — with multi-turn dialogue memory and auto-filled placeholders —…

An agent-assist that suggests proactive investigative questions in live chat — with multi-turn dialogue memory and auto-filled placeholders — while the human agent always clicks to send.

DemoDesign onlyfazeZERO VerifiedProprietaryMarketing & Growth

Last verified 15 Sept 2026 · Updated 23 Sept 2026 · Metadata v4

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Configuration + implementation engagement

Problem

Marketplace and travel customer-support live-chat teams (hosts/guests, reservations, payouts, payment methods) where reactive smart replies already shipped but agents still retype investigation probes across median ~4–5 conversation rounds.

Outcome

A design-complete foundation in the active pipeline — engineering scaffold planned to complete this month.

Who uses it

  • Operations Analyst
  • Solution Architect

Key capabilities

Capabilities are defined during customer configuration.

Typical workflow

Primary operating flow

Trigger: An operator starts the primary use case

  1. Task

    Stage 1: Capture inputs

    Operator

  2. AI-assisted

    Stage 2: Assist with draft

    System

  3. Human checkpoint

    Stage 3: Human approval

    Approver

Task Automated AI-assisted Human checkpoint Decision

About this foundation

Proactive investigation assist. Gmail-style smart reply optimises short-term reactive utterances (“You’re welcome”); Probeask targets the gap Airbnb/UCSD named — probes like “Do you perhaps have another account with us?” that need long-term problem context, curated candidate banks (~71 intents / ~400 variants), and human send control.

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