AI product
expert.
Let customers explore complex products through a present, conversational guide.
The opportunity
Design for the moment that matters.
What breaks today
Feature-rich products create decision overload. Web pages and shelf cards separate explanations from the physical product and cannot adapt to what a customer actually wants to know.
The presence pattern
A digital expert stands beside the product, compares configurations, demonstrates key differences and uses approved data to move the visitor toward a confident next step.
Design requirements
Make it useful before making it magical.
- 01
Bound the role
Make the system’s job, knowledge, tools and limits clear before the interaction begins.
- 02
Show state
Listening, thinking, speaking, waiting and escalation should be visible and understandable.
- 03
Preserve control
Give operators a reliable way to observe, pause, recover and hand the moment to a person.
Operator runbook
Design the complete service—not only the scene.
- 01
Frame the service
Product marketing and commerce teams should document the intended audience, room, session length, approved content or knowledge, human escalation path and the current baseline for comparison completion.
- 02
Invite with clarity
Before the ai product expert experience begins, explain why the presence is there, whether it is live, recorded or AI-assisted, what it can do and how a participant can leave or reach a person.
- 03
Operate the moment
A digital expert stands beside the product, compares configurations, demonstrates key differences and uses approved data to move the visitor toward a confident next step. The operator should be able to observe state, recover the session and protect the physical activity already happening in the room.
- 04
Close the loop
End with a visible next step, capture only consented information and record comparison completion, decision confidence, assisted conversion. Review failures and handoffs before repeating or expanding the experience.
Pilot scorecard
Prove a real outcome in the room.
Comparison completion
Define the starting event, completion event and current-workflow baseline for comparison completion. Count only observable outcomes.
Decision confidence
Review decision confidence by audience, session stage and operator. Use the pattern to find where confidence is gained or lost.
Assisted conversion
Set a minimum threshold for assisted conversion before launch. Name the owner and recovery action when a session misses it.
Decision gates
Know when presence is—and is not—the answer.
Presence must earn the room
If the same ai product expert outcome can be achieved by a well-designed phone, kiosk or conventional video call with equal trust and clarity, use the simpler tool.
The boundary must stay visible
Do not launch ai product expert until participants can identify the role, source, live or synthetic state, information boundary and human fallback without guessing.
The operation must survive novelty
Product marketing and commerce teams should be able to run, pause, recover and measure the experience repeatedly. Do not scale while success depends on a founder or engineer standing beside it.
Evidence status. This page is a product-design field brief, not a claim that Reality Relay has already produced the stated customer outcome. Replace the hypothesis with measured pilot evidence before presenting it as proof.
Build the first pilot
Start narrow enough to learn.
For AI product expert, begin with one real environment, one defined audience and one repeatable interaction. Establish who operates the experience, what information or tools it can access and exactly when a person must take control.
Reality Relay Platform coordinates content, session state, approved intelligence and operations. Reality Relay Spaces give the experience a calibrated physical endpoint with intentional scale, eye line, sound and grounding. The pilot should earn expansion by improving the scorecard above—not by novelty alone.
- Primary audience
- Product marketing and commerce teams
- Experience family
- AI & digital humans
- First decision
- Choose the room, baseline and accountable operator
- Expansion rule
- Scale only after the scorecard beats the current workflow