Collect Better Human Feedback on Your AI Outputs
Add a single HTML attribute to start capturing user reactions
60-Second Integration
<!-- Add to your <head> -->
<script src="https://cdn.coolhand.ai/coolhand.min.js"></script>
<!-- Wrap any AI output -->
<div coolhand-feedback>
AI response content...
</div>
Add the script, then mark any element with coolhand-feedback to enable rating and revision tracking. Works with any AI provider.
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Adjust Email Tone Based on User Feedback
Adjust Email Tone Based on User Feedback
Summary
Analysis of 52 user revisions revealed that users consistently edited overly formal email drafts to sound more natural and direct. Update the system prompt to produce warmer, more conversational emails.
Feedback Pattern Detected
The "Email Drafter" workload showed a 38% revision rate with consistent patterns:
- • Users replaced "I hope this email finds you well" with direct openers
- • Users changed formal phrases like "Please do not hesitate to contact me" to "Let me know"
- • Users shortened sign-offs from "Best regards" to "Best" or "Thanks"
Before
system: "You are a professional email assistant.
Draft polished, professional emails
for business communication."After
system: "You are an email assistant.
Draft emails that are warm but concise.
Skip formal pleasantries. Get to the point.
Use casual sign-offs like 'Best' or 'Thanks'."Expected Impact
| Metric | Before | After |
|---|---|---|
| Revision rate | 38% | ~12% |
| Avg. email length | ~180 words | ~120 words |
| Output tokens | ~240 | ~160 |
| User satisfaction | 62% positive | ~88% positive |
Low Risk
Prompt-only change. Easy to revert. Recommended: A/B test with 20% of traffic before full rollout.
Meet Your Optimization Agent
The expertise of three specialists—without the headcount
Data Engineer
$185k/year
Standardizes and enriches your feedback dataset—cleaning, structuring, and connecting user signals to the LLM calls that produced them.
Data Scientist
$195k/year
Applies ML to surface high-impact patterns—identifying which prompts underperform, where costs are inflated, and what users actually want.
AI Engineer
$210k/year
Translates insights directly into your prompts and code—delivering PRs you can review, approve, and ship.
Hiring these three roles costs $590k/year
Your optimization agent starts at $99 per optimization—pay only for value delivered.
Simple Fixes
Automatic PR submission for prompt updates and validation rules
Improvements that Drive Quality
Research-backed recommendations that boost accuracy, cut latency, and reduce LLM costs
Evolves with Your Business
Learns your codebase over time, surfacing user insights that fuel new products and innovations
Simple, Transparent Pricing
Start free. Scale as you grow.
Monthly Data Management
Feedback collection, LLM logging & analytics
- 21-day data retention
- One active optimization suggestion per week
- Community support
Your Optimization Agent
Your specialized agent delivers improvements as PRs
- Specialized optimization agent improves your prompts & tool calls
- Delivered as GitHub PRs or issues
- Pay only for the optimizations you use
- Optimizations often pay for themselves in reduced LLM spend
Monthly Data Management
Feedback collection, LLM logging & analytics
- 90-day data retention
- Unlimited optimization suggestions
- Priority email support
- Unlimited bakeoffs (model price comparisons)
Your Optimization Agent
Your specialized agent delivers improvements as PRs
- Everything in Free, plus:
- Priority optimization queue
- Agent chain-of-thought optimizations
- Bulk optimization discounts
- Pay only for the optimizations you use
- Optimizations often pay for themselves in reduced LLM spend
Monthly Data Management
Feedback collection, LLM logging & analytics
- Custom data retention
- Unlimited optimization suggestions
- SSO / SAML
- HIPAA compliance
- Dedicated support engineer
- SLA guarantees
Your Optimization Agent
Your specialized agent delivers improvements as PRs
- Custom optimization workflows
- Dedicated optimization engineer
- Volume pricing