Ask in plain words Ask
The question box, with example prompts. The people named here are fictional.
Case study · Client work · Resorsi
Community Intelligence
Member intelligence for a paid founders community. Internal tool for the community team.
Overview
It pulls signals from calls, Slack and the CRM into one profile per member, then suggests introductions, mastermind matches, and who may not renew.
- 01 One unified profile per member, built from calls, Slack and the CRM
- 02 Natural-language search across the whole community
- 03 Connection and mastermind recommendations
- 04 Renewal signals that flag members who may not renew
Wide social cut · 20s · with music
Ask the community
A shorter cut of the same search and introductions, across twenty-four fictional members.
Muted · unmute in the controls
The video uses twenty-four fictional members. It shows search, a profile, and ranked introduction suggestions. It is not a recording of the community’s members.
How it works · real screenshots
Ask, then introduce
00 /06
Six screens from the walkthrough
Scroll to lift each one out.
From a plain-language question to five ranked introductions, each with a reason.
01 · Screenshot
Ask
The question box, with example prompts. The people named here are fictional.
Ask in plain words
02 · Screenshot
Industry search
A plain-language industry search returns four fictional members.
Logistics members
03 · Screenshot
Location search
A location search for Miami. The cities are fictional member records.
Based in Miami
04 · Screenshot
Member profile
One fictional member profile.
One profile per member
05 · Screenshot
Introductions
Five ranked introductions, each with a reason.
Ranked, with a reason
06 · Screenshot
Directory
The directory of all 24 fictional members.
24 fictional members
Ask in plain words 
Logistics members 
Based in Miami 
One profile per member 
Ranked, with a reason 
24 fictional members How it works · real screenshots · 01—06 Ask in plain words 01 / 06 Logistics members 02 / 06 Based in Miami 03 / 06 One profile per member 04 / 06 Ranked, with a reason 05 / 06 24 fictional members 06 / 06
Ask, then introduce
Ask in plain words Logistics members Industry search
A plain-language industry search returns four fictional members.
Based in Miami Location search
A location search for Miami. The cities are fictional member records.
One profile per member Member profile
One fictional member profile.
Ranked, with a reason Introductions
Five ranked introductions, each with a reason.
24 fictional members Directory
The directory of all 24 fictional members.
Results · the live system
One profile, not five tabs.
1,361 member profiles
1,000+ call transcripts
3 sources merged: calls, Slack, CRM
Member intelligence across 1,361 member profiles and 1,000+ call transcripts. The tool gives the community team one profile per member and a short list of suggested introductions, matches, and renewal risks. Built at Resorsi. Internal tool, no public app URL.
Full walkthrough · 48s · no audio
Every step, uncut
Plain-language search, a member profile, and ranked introduction suggestions. Captions are on screen. No narration or music.
Built at Resorsi
My role.
01
My role
Forward Deployed AI Engineer at Resorsi. Worked on member intelligence: the member profile and recommendation flows.
02
One member, many places
What the team knows about a member sits in calls, Slack threads, and the CRM. The tool merges those signals into one profile so nobody has to piece it together by hand.
03
About the demo
This walkthrough uses 24 fictional members. It is not a recording of the Founders Club member list. Introductions and renewal flags are suggestions, not a second system of record.
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