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Talk to any customer or segment as an AI persona grounded in real data. The persona is built from their actual call transcripts, product feedback, CRM profile, and public research — not made up. Every response includes source attribution so you know what’s fact vs. interpretation.

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Usage

/closedloop:synthetic-customer Acme Corp
/closedloop:synthetic-customer Enterprise customers
/closedloop:synthetic-customer frustrated customers in Payments
Type a company name, segment, or industry — the skill figures out what you mean and builds the persona.

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Modes

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Company Mode

Type a company name. The skill loads all their data — call transcripts, product feedback, support tickets, CRM profile — and role-plays as that company. Multiple speakers are blended into one voice that represents the company’s collective perspective.

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Segment Mode

Type a segment or industry name. The skill creates a composite persona from all companies in that group. Uses “we” language and gives counts (“8 of us have raised this”). Verbatim quotes are attributed to specific companies.

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How It Works

The persona is built in three layers, using multiple parallel agents: Layer 1 — External Research
  • Company website, news, industry context, competitors
  • CRM data: deals, contacts, revenue, segment
  • Public voice: how they present themselves, recent announcements
Layer 2 — Voice Extraction
  • Reads ALL their call transcripts (not summaries — the actual conversations)
  • Extracts speech patterns, recurring themes, emotional moments, questions they ask, how they make decisions
  • Analyzes support tickets for what breaks, how they report issues, their patience level
  • Captures verbatim quotes that define their voice
Layer 3 — Synthesis
  • Merges all research into a persona file
  • Verifies every claim is grounded in data
  • Builds a knowledge boundary: what they have and haven’t discussed
The persona file is saved locally and reused. Next time you invoke the same customer, it loads instantly and only updates for new data.

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During the Conversation

Source attribution on every response. Every in-character response ends with: 
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Sources: what data grounded this response
Interpretation: anything inferred rather than directly stated
Real-time data lookup. For specific factual questions, the persona searches live MCP data rather than relying only on the persona file summary. Three-tier responses:
  • Direct evidence — speaks confidently, uses verbatim quotes
  • Adjacent evidence — qualifies with “I think” or “probably”
  • No evidence — declines naturally: “That hasn’t really come up for us.”

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Commands

During a persona conversation, you can use these commands to inspect the data or switch personas. Invoke them the same way you started the skill: 
/closedloop-synthetic-customer /sources
CommandWhat it does
/closedloop-synthetic-customer /sourcesShow detailed data points behind the last response
/closedloop-synthetic-customer /confidenceRate evidence strength on the current topic
/closedloop-synthetic-customer /rawShow the relevant section of the persona file
/closedloop-synthetic-customer /switch Acme CorpDrop this persona, build a new one
/closedloop-synthetic-customer /refreshForce rebuild the persona from scratch
To exit the conversation, type “stop” and the persona will end immediately.

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Use Cases

Validate a feature idea Pitch a feature to the synthetic customer and get pushback grounded in what they’ve actually said. “What if we added dynamic pricing with AI-driven rules?” — the persona responds based on their real conversations about pricing, not generic LLM opinions. Prepare for a customer call Before meeting a customer, talk to their synthetic version first. Understand their priorities, pain points, and how they communicate so you walk in prepared. Test sales messaging Try different positioning with a synthetic customer to see which resonates. The persona’s reactions are grounded in their actual decision criteria and competitive context. Explore a segment’s perspective “What do Enterprise customers think about our API?” — get an answer that aggregates real feedback from all Enterprise accounts, not one company’s view. Understand internal dynamics Ask about their team structure, decision-making, and internal tensions. The persona knows who the decision-maker is, who the power user is, and what frustrates each role — all from actual call transcripts.