Start with message-native intake
A text message AI assistant can capture proof asks from SMS, iMessage, founder DMs, forwarded emails, and after-call notes before they vanish into personal channels.
Use-case guide
Build an AI customer proof follow-up queue.
Buyer proof requests are easy to miss because they show up as fragments: a call note, a founder text, a support detail, a competitor objection, or a renewal concern. A personal AI agent queue turns those fragments into reviewed proof assets and specific follow-up tasks.
Buyer asksource evidenceproof roomhuman reviewfollow-up draftowner assignedrenewal notequeue resolvedBuyer asksource evidence
The queue is the bridge between proof request and proof delivery.
Most teams have proof assets somewhere. The gap is operational: noticing the request, selecting the right evidence, packaging the answer, and making sure a human sends or approves the follow-up. The queue keeps that work visible.
Every proof request needs source memory.
Cache repeated research
Computer-use cache helps the agent remember account checks, public context, CRM tabs, and browser research.
Generate the proof room
AI agent website building turns the selected evidence into a focused shareable page.
Keep execution close
Super is useful when the agent needs to draft, package, route, and remember the next action in one place.
Five steps to build the queue.
A useful queue is not just a list of asks. It has source evidence, proof intent, owner, generated asset, review status, and expiration date.
1. Normalize proof intent
Classify each request as vertical proof, integration proof, ROI proof, competitor proof, workflow proof, security proof, or renewal proof.
2. Attach the source
Keep the buyer quote, transcript excerpt, message, ticket, or browser note attached. Without source evidence, the follow-up becomes fragile.
3. Select approved evidence
Pull customer quotes, screenshots, docs, examples, and prior proof rooms that are safe to reuse. Flag anything that needs approval.
4. Generate a draft answer
Create a proof room, short email, or internal recap. The human should review a near-finished answer, not start from a blank page.
5. Close or refresh
Mark the request sent, blocked, stale, or refreshed. Expire proof that is no longer accurate.
Queue checklist
| Field | Reason | Good default |
|---|---|---|
| Buyer question | Prevents generic proof from replacing the real ask. | One quoted sentence or paraphrase. |
| Proof intent | Routes the request to the right evidence. | Vertical, workflow, ROI, integration, security, competitor, renewal. |
| Source trail | Keeps the AI output reviewable. | Message, transcript, support link, CRM note, or browser check. |
| Owner and due date | Makes the queue operational. | One owner and a 24 to 72 hour review window. |
| Review status | Stops unapproved proof from being sent. | Draft, needs review, approved, sent, stale. |
"The queue is working when a buyer's proof request becomes a reviewed answer before anyone has to ask, 'Who was handling that?'"
Sources and assumptions
This guide is based on common workflows in founder-led selling, customer marketing, sales engineering, renewal operations, proof request routing, and personal AI agent execution. Relevant Super patterns include Super, message-native AI assistance, computer-use cache, and agent-generated web pages.
FAQ
What is a proof follow-up queue?
It is a reviewable list of buyer proof requests with source evidence, owner, generated answer, and status.
Does the agent send proof automatically?
For sensitive sales and renewal claims, keep human review in the loop. The agent should prepare the proof and draft the follow-up.
What should the first version include?
Message intake, proof intent, source trail, owner, due date, and an editable proof-room draft.
Where does this help most?
Founder-led sales, high-touch renewals, vertical SaaS, and teams with frequent custom evidence requests.