🎙️ Maintaining multiple Voice AI Prompts? Join Early Access →
AI Voice Performance Optimization

Your Voice AI Isn't Failing.
Your Prompt Operations Probably Are.

Prompt Whisperer helps Voice AI teams identify prompt technical debt, improve AI performance, reduce operational complexity, and scale customer deployments more reliably.

Start Free Prompt Analysis Explore the AI Voice Performance Sprint
Prompt Audits
Voice AI Performance Reviews
Prompt Architecture
Operational Scalability
  Prompts Evaluated
The Real Problem

Most Voice AI problems aren't model problems.

As Voice AI deployments scale, the operational layer breaks before the model does:

It isn't just a prompt problem. It's an operational scalability problem.

Free Prompt Analysis

Start with a diagnostic on your current prompt.

Two paths. Have us write you a voice-first prompt over a quick voice intake, or paste the one you already use — pulled live from Bland or VAPI if that's easier — and get an 8-category Prompt Whisperer Audit covering structure, voice fit, edge cases, and scaling risk.

What we look at

Prompt structure Cognitive load Flow logic Interrupt handling Transfer rules Persona consistency Latency contributors Edge-case complexity Redundant instructions Prompt modularity Scalability risks
Step 1 — Where should we send your prompt?
The intake takes about 2 minutes. You'll get the prompt by email shortly after.
Step 2 — Voice intake

Tap "Start a Call" to start the conversation

Our agent will ask a few quick questions about your business, who calls in, and what the voice agent needs to do. Speak naturally — there are no wrong answers.

When you're done, just hang up. We'll take it from there.

✍️

We're writing your prompt.

Thanks — we'll email a polished, voice-first prompt to in a few minutes.

Want a score on the result? Paste it back through the Evaluate flow once it lands.

Questions? Write to mike@prompt-whisperer.com
What's in your FREE Prompt Whisperer Audit
  • Executive summary of your prompt
  • Scored on 8 voice-specific criteria
  • Your 2–3 biggest strengths
  • Your 2–3 most critical weaknesses
  • Top 3 prioritized improvements
  • A rewritten example of your weakest section
Step 1 — Where's your prompt?
0 characters
Used once to fetch your prompt. Never stored.
Used once to fetch your prompt. Never stored.
Step 2 — Where should we send the audit?
Optional Context — helps us tailor the audit
Your prompt is never shared publicly. Audits are reviewed by Mike before delivery.
Sample audit
FULL AUDIT
----------
# Voice AI Prompt Audit: Bland Car Rentals

Total Score: 46 / 80
Rating: Needs Significant Improvement

## 1. QUICK SUMMARY

This prompt has strong foundational instincts — the Midwestern tone, backchannel logic, and customer empathy are thoughtful touches. However, the prompt is significantly over-engineered and internally contradictory, which is likely causing the agent to behave unpredictably and contributing to caller hang-ups.

## 2. SCORECARD
Voice-First Language: 5/10
Persona Clarity & Consistency: 6/10
Conversational Flow & Turn-Taking: 4/10
Handling Real-World Call Behavior: 6/10
Conciseness & Signal-to-Noise: 3/10
Human-Sounding Behavior: 6/10
Edge Cases & Failure Modes: 5/10
Business Outcome Alignment: 5/10

## 3. WHAT'S WORKING
Tone and persona guidance is genuinely thoughtful — "amiable concise cheerful apologetic... midwestern charm... 'no worries, take your time!'... 'Minnesota nice,' with a sprinkle of brevity."

## 4. WHAT NEEDS IMPROVEMENT
The prompt repeatedly contradicts itself: "Don't repeat yourself..." vs. "You then need to read back their Rental Record Number..." This causes decision paralysis at runtime.

## 5. TOP 3 PRIORITIZED IMPROVEMENTS
1. Simplify the core flow to: greet → ask why they're calling → request and read back the record number.
2. Fix the opening to reduce hang-ups in the first 5 seconds.
3. Replace digit-counting logic with a simple backchannel rule the model can actually execute.

You're all set.

Your full audit will be emailed to you within 1–2 business days.

⏱ Usually within 1–2 business days
Calculating your score…
/ 80
Questions? Write to mike@prompt-whisperer.com
What we received
Audit sent to
Source
Platform
Use case
Pain point
Your prompt
What happens as you scale

What happens to Voice AI systems over time.

Every Voice AI deployment starts clean. Then the real world shows up — new clients, new edge cases, new transfer rules, new exceptions. The system doesn't break in a day. It drifts.

As deployments grow
  • Prompts get duplicated
  • Edge cases pile up
  • Onboarding drifts
  • Transfer logic fragments
  • Instructions conflict
  • Latency increases
  • Agents become inconsistent
The result
  • Worse caller experience
  • Lower trust
  • Operational chaos
  • Harder debugging
  • Reduced conversion performance

A Voice AI Performance Sprint is how you get ahead of all of it — before the drift becomes the deployment.

Request a Voice AI Performance Sprint →
The Sprint

AI Voice Performance Sprint

A structured operational review designed to reduce technical debt and improve Voice AI performance at scale. Fixed scope. Fixed outcomes. Built for teams managing real production deployments.

Phase 1
Discovery
Current architecture, prompt portfolio, workflow review, operational bottleneck assessment, scaling pain-point analysis.
Phase 2
Analysis
Prompt structure audit, transcript review, edge-case evaluation, transfer logic review, latency and cognitive load analysis, prompt hierarchy mapping.
Phase 3
Optimization
Prompt restructuring, simplification, modularity, operational consistency, scaling framework, governance and versioning guidance.
Phase 4
Strategic Roadmap
Prioritized action plan, operational recommendations, prompt architecture strategy, long-term scalability guidance.
What you walk away with
  • AI Voice Performance Report
  • Prompt Architecture Recommendations
  • Technical Debt Assessment
  • Scalability Risk Analysis
  • Operational Improvement Roadmap
  • Suggested Prompt Framework Structure
Fixed-scope engagement
Starting at $5,000
2-week engagement · Fixed deliverables · Strategic review + recommendations
Custom engagement pricing available for larger scopes.

Tell me about your Voice AI operations

A few lines about what you're running and where it hurts. I'll reply personally within one business day.

Who this is for

Built for teams where prompts are infrastructure.

Voice AI Companies
Managing multiple customer deployments and feeling the friction of prompt sprawl across accounts.
Vertical AI Operators
Home services, legal, medical, real estate, telecom, customer service — voice in regulated or high-stakes domains.
AI Operations Teams
Organizations experiencing prompt complexity, workflow drift, and inconsistent customer experiences as they scale.
Telecom + AI Companies
Teams who understand deployment reliability matters just as much as model quality.
What makes us different

Most AI consultants don't operate at the prompt layer.

Voice AI operations is a discipline of its own — different from generic AI strategy, different from workflow design, different from model selection.

Most AI consultants

  • Generic automation
  • AI adoption strategy
  • Model selection
  • Workflow diagrams

Prompt Whisperer

  • Operational scalability
  • AI performance management
  • Prompt technical debt
  • Voice AI workflow structure
  • Deployment reliability
  • Prompt architecture
  • Real-world call behavior
From the field

Inside the Call

Real AI-handled calls, broken down line by line. Where prompts win, where they fail, and what to fix — published regularly.

Read Inside the Call →