Trusted by 50+ AI teams

Stop Wasting Money on
Bad AI Prompts

Expert prompt engineering that makes your AI faster, cheaper, and more reliable. Get professional optimization in one week—guaranteed improvement or your money back.

Book Free Consultation See Pricing
1-Week Delivery
Proven Results
Improvement Guaranteed

Before Optimization

You are an expert customer support assistant with deep knowledge of our products. Use the context below to answer questions thoroughly and comprehensively. Be very friendly and empathetic. Always greet the customer warmly. Take your time to explain things in detail. Show that you care about their problem. Context: {context} Remember to always be professional, courteous, and helpful in every interaction.
📊 Eval Results:
• Fact accuracy: 68%
• Tone match: 71%
• User satisfaction: 3.2/5
• Avg. response time: 4.1s
• Avg. response cost: 9.9¢
⚠ Verbose instructions ⚠ Claude 3.7 Sonnet ⚠ Inconsistent

After Optimization

Answer customer questions using the provided context. Be accurate and concise. Context: {context} Format: - If answer is in context: provide direct answer - If uncertain: "I don't have that information" - Keep tone professional and helpful
📊 Eval Results:
• Fact accuracy: 96%
• Tone match: 94%
• User satisfaction: 4.7/5
• Avg. response time: 0.9s
• Avg. response cost: 0.32¢
✓ Clear structure ✓ Gemini 2.5 Flash ✓ Reliable

Does This Sound Familiar?

You've implemented AI, but something's not quite right...

Burning Through Budget

Your API costs are 3-5x higher than expected. Each request adds up, and you're not even sure why it's so expensive.

Wildly Inconsistent

Sometimes it's perfect, sometimes it's completely wrong. You can't trust it in production when it's this unpredictable.

Quality Nightmares

Hallucinations, broken formatting, missing information. Your AI just won't follow instructions properly.

No Matter What You Try...

You've spent weeks tweaking prompts and switching models. Nothing works. The solution feels just out of reach.

Expert optimization of prompts and models

We test across models and optimize your entire AI stack

What You Get

Professional prompt engineering that transforms your AI implementation

20-40 page comprehensive report
15-30 custom evals per prompt
5-10 models tested
50+ parameters benchmarked

Improved Quality

More consistent, accurate, and reliable outputs that follow your requirements and reduce hallucinations.

Faster Performance

Optimized prompts that reduce token usage and response times, making your AI more efficient.

Reduced Costs

Lower API costs through intelligent token optimization and more efficient prompt design.

Custom Evaluation Suite

Automated testing framework to measure and maintain prompt performance over time.

Model & Parameter Recommendations

Expert guidance on the right model, temperature, and configuration for your specific use case.

One Week Delivery

Complete optimization, documentation, and handoff within one week of kickoff.

How It Works

Simple, proven process that delivers results

Complete Process: Just 1 Week
1

Book Call

Free 30-minute discovery call to understand your needs

No sales pressure
Quick response time
Expert guidance
Book Free Consultation

No commitment required

2

Analyze

Audit prompts, test models, and benchmark performance

Comprehensive prompt audit
Model comparison testing
Performance benchmarks
Detailed cost analysis
Quality assessment
3

Optimize

Engineer prompts, create evals, document everything

Expert prompt engineering
Custom evaluation suite
Complete documentation
Industry best practices
Version control setup
✓

Deliver

Get prompts, evals, docs, and implementation support

Production-ready prompts
Complete evaluation suite
Comprehensive docs
Implementation support
30-day ongoing support

One Price, Everything Included

Choose your plan based on depth of analysis. All packages include optimization, evals, documentation, and we cover all LLM token costs.

Launch Pricing - Limited Time

We're launching at a discount to build our portfolio. Lock in current prices before they increase.

+20%
at 10 sold
+25%
at 20 sold
6 sold

Starter

$750

Single Prompt

$1,200 for Chatbot/Agent

  • 3-5 models tested
  • 10-15 custom evaluations
  • 15-20 page report
  • Core optimization
  • 1 week email support
  • 1 week delivery
Get Started
MOST POPULAR

Professional

$1,000

Single Prompt

$1,500 for Chatbot/Agent

  • 5-8 models tested
  • 20-25 custom evaluations
  • 25-35 page detailed report
  • Comprehensive analysis
  • 2 weeks email support
  • 1 week delivery
Get Started

Enterprise

$1,500

Single Prompt

$2,000 for Chatbot/Agent

  • 10-12 models tested
  • 30-40 custom evaluations
  • 40-50 page deep-dive report
  • Deep dive + edge cases
  • 4 weeks email support
  • 1-2 week delivery
Get Started

Multiple Prompts?

Need to optimize more than one prompt? Contact us for custom bulk pricing and repeat customer discounts.

Improvement Guaranteed

If we don't find meaningful improvements to your prompts, you get a full refund. No questions asked.

Proprietary Tech + Experience

Our custom evaluation platform and 4.5 years of LLM expertise let us deliver faster and more thoroughly than traditional consultants.

Real Results

See how we've helped businesses optimize their AI

B2B Sales Outreach

Challenge

Client struggled with controlling tone and data synthesis in their sales outreach emails. Generated content was producing errors and inconsistent messaging quality.

Results

  • Tone consistency: 91% (up from 64%)
  • Fact check accuracy: 96% (up from 71%)
  • Sales angle creativity: 88% (up from 59%)
  • 60% reduction in generation cost & time

Calendar Management App

Challenge

Production app with active users but slow iteration cycles. Content felt stale and robotic with inconsistent agent performance. Needed safe testing infrastructure for improvements.

Results

  • Built custom eval suite (43 evals)
  • Tool call success: 98% (up from 82%)
  • Improved response speed & consistency
  • Enabled safe prompt & model testing

Real client results. Your outcomes may vary based on use case.

Who Are We?

Expert prompt engineers with proven results

Ellis Crosby

Ellis Crosby

Founder & Prompt Engineering Specialist

Connect on LinkedIn

With over 4.5 years of hands-on experience with LLMs (starting before ChatGPT!), I've worked on 40+ AI projects across 150+ different models, generating over 250 billion tokens of production LLM outputs. From founding Scarlett Panda to consulting for businesses of all sizes, I've seen what works—and what doesn't.

My approach combines rigorous testing methodologies with deep technical expertise. I don't just tweak prompts—I build comprehensive evaluation frameworks, benchmark across models, and engineer solutions that deliver measurable improvements in quality, speed, and cost-effectiveness.

Every engagement includes detailed documentation, custom evaluation suites, and hands-on support. I'm not satisfied until you see real, measurable improvements in your AI systems.

4.5+

Years with LLMs

40+

AI Projects

150+

Models Tested

Frequently Asked Questions

Everything you need to know

Typically 5-7 business days from kickoff to delivery. This includes analysis, optimization, testing, and documentation. Rush delivery available for an additional fee.

We offer significant bulk discounts and repeat customer pricing. Our proprietary evaluation platform makes it efficient for us to optimize multiple prompts, and we pass those savings on to you. Contact us to discuss your needs and get a custom quote.

Yes! We optimize prompts for major providers including OpenAI, Anthropic, and Google, as well as open-source models like Llama, DeepSeek, and others. We'll also recommend the best model for your specific use case.

You'll receive comprehensive documentation, implementation guides, and 2 weeks of email support to ensure smooth deployment. We also offer ongoing maintenance packages if needed.

We benchmark your current prompts and provide detailed performance metrics. If we can't find meaningful improvements to quality, speed, or cost, you get a full refund. Simple as that.

Yes! We provide clear implementation guides, and can offer hands-on implementation support for an additional fee. We'll work with your team to ensure smooth integration.

During your free consultation, we'll discuss your specific use case and recommend the package that best fits your needs. Most clients choose Professional for comprehensive optimization with great value. Our proprietary evaluation technology means even our Starter package delivers more thorough testing than most consultants offer at any price.

We've built proprietary evaluation technology that automates much of the testing process that would take traditional consultants weeks to do manually. Combined with 4.5 years of LLM experience across 150+ models, we can deliver comprehensive optimization faster and more affordably than anyone else.

Yes! We offer retainer packages for continuous optimization as your needs evolve, new models are released, or your use cases expand. Contact us to discuss ongoing support options.

Latest from the Blog

Expert insights on AI prompt engineering, optimization techniques, and best practices.

Google Gemini 3 Review: The Benchmarks Actually Match the Hype 🤯

Google Gemini 3 Review: The Benchmarks Actually Match the Hype 🤯

So, on Tuesday Google launched Gemini 3. The hype was massive leading up to this, and honestly? It is justified. It is really, really good. Trying to explain how good is difficult without getting bogged down in technical jargon, but the general consensus is pretty clear. Even Sam Altman tweeted his congratulations last night, calling it a "great model." When the head of the competition is being that humble, you know something big just happened. If you watched the GPT 5.1 launch last week, you

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2025’s flagship model season kicked off yesterday with the unexpected arrival of GPT-5.1, with OpenAI getting their release out before Gemini 3. While we’re still waiting for API access (and therefore can’t run proper, high-volume benchmark testing yet), we can take a close look at the release notes, early examples, and some small-scale hands-on tests within ChatGPT. Here are my early impressions - what actually improved, how it compares to the wider market, and whether I think most teams shoul

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Here we go again: new-flagship season. Google’s Gemini 3 has been peeking through A/B tests in AI Studio and docs watchers have noticed model lifecycle shuffles, while OpenAI is lining up a GPT-5.1 family (base, Reasoning, and Pro). None of this is a formal launch note you can pin your roadmap to—but it’s enough signal to prepare. Treat it like a weather alert rather than a calendar invite.  What should you actually expect? Broadly: bigger context, stronger multimodality (esp. vision + code), a

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