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A demo profile. Priya Natarajan is a made up person on the leadership demo, drawn with the same pieces as a real VibeWorks profile.
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Priya Natarajan

Senior Support Lead Austin, TX
1 shipped project
143 conversations scored
1 graded work sample
2 conversations attached

Conversations read per week

6 Jul to 21 Sep

Beyond a plain chat

58 inside a project 41 with files attached 19 through a connector 9 deep research See the full VibeStack
AI fluency Read from 143 conversations

Operating at a Native level · step 5 of 5

Meta-prompting, persistent systems, or agent and pipeline use. AI is infrastructure.

VibeScore 8.7 /10
Up 0.4 from 8.3, across 3 reads
See how the score breaks down

Read from 143 conversations, 1 July to 30 September 2026 · read 30 September 2026 · How we score this

How Priya works with AI

Priya works with AI the way a good editor works with a writer. The AI gets the whole ticket history and a clear ask. Every claim in the draft gets checked against the record before it ships. The AI does real work, and Priya's judgment stays in charge.

Professional background

Leads Tier 2 support for enterprise customers. Eight years in support, the last three running escalations. Built the ticket triage helper the whole tier uses.

143 conversations scored 1 graded work sample 1 project, self-reported 2 conversations attached

AI fluency · five dimensions

VibeScore

Read from the conversations Priya really had with an AI assistant, every one of them, not a quiz or a self-assessment. Click a dimension to see what it measured and what the read found.

How VibeScore works
Read from 143 conversations

8.7 /10

Operating at a Native level

From 8.3 to 8.7 across 3 reads

Read from 143 conversations, 1 July to 30 September 2026. Strongest on Diligence, with Delegation the dimension to grow.

Read 30 September 2026 · from a chat export · rubric 7.24.1 · Claude Sonnet 5 reader · How we score this

Standout strength · Diligence Top of five, 9.1

Diligence leads. Priya checks each draft against the ticket, the order record, and the policy page before anything goes out. The corrections show up in the next prompt, so the AI gets better inside the same conversation.

Where to grow · Delegation Lowest of five, 8.5

Delegation has the most room. Priya hands the AI drafts and checks. The next step is the follow up work: the note to the account owner, the macro update, the weekly digest.

Dimension 1 · Prompt construction and quality

Description

8.8/10 Up 0.4 · 3 reads
What this measures

How clearly they specify what they want: goals, constraints and examples.

What the read found Read from 143 conversations, 1 July to 30 September 2026 · 30 September 2026

Briefs name the customer, the ticket history, the tone, and what not to promise. The AI rarely has to ask a follow up question.

Score over time One point per read
10 7 4

Scored 8.4 on the first read and 8.8 on the latest.

Shared with the company

Projects

What Priya built and shared. Every card links to the company library.

Workflow

Ticket triage helper

Used by 212 people
Workflow

Ticket triage helper

Reads new tickets and drafts a first reply for a human to check.

Priya Natarajan Customer Success, Tier 2
ZapierClaudeNotion
Customer Success · Support 48

Tools and platforms

VibeStack

Everything Priya builds and thinks with, grouped by job. A pink mark means it was found in a repository or archive; a dashed mark means it was listed on a project.

3 tools · 2 verified
Assistants all verified
  • Verified Claude
Automation all verified
  • Verified Zapier
Data and docs self-reported
  • Notion
Verified Verified through a project Self-reported on a project Counts are projects where the tool appeared