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Coolhand Labs

Make sure the agents you build never stop improving.

Coolhand observes your AI, reads the human feedback, then ships you fixes.

Start free See how it works

Generous free tier — no credit card required. HIPAA compliant

Coolhand is more than a dashboard. We provide agents that improve your agents.

Our numbers

10B+

tokens analyzed

50–70%

avg. cost reduction

21K+

SDK downloads

What Coolhand actually does

Three jobs your best engineers shouldn't have to do by hand.

Catching silent agent failures at 2 a.m.

Silent failures, cost spikes, broken tool calls — spotted in production, not discovered in a postmortem. Hard errors get a fix proposed within minutes. Deeper issues take longer, and we tell you which is which. Every fix ships as a PR in your repo. You review; you decide.

Continuous improvement from human feedback

Our open-source skill audits your codebase and shows you where to capture high-signal feedback from work you're already doing — no annotation queues, no new pipelines to build. Edits, explanations, and sentiment get analyzed, pressure-tested, summarized and sent to you in the form of suggested improvements.

Know which agents are crushing it... and which aren't worth the token spend

Cost per unit of work, quality trends over time, and the levers to move both — with your own value assumptions plugged in, not ours.

You build the agents, then let Coolhand make them amazing.

How Coolhand Works

What teams say once they're not babysitting agents anymore

“We stopped finding out about broken tool calls from angry Slack messages. Now we get a PR before the customer notices.”

VP Engineering, healthcare AI company

“Our AI engineer used to spend Fridays sifting through transcripts looking for patterns. That's just handled now. She spends her time crafting new agents instead.”

Head of AI, AI-native startup

Code-Free Data Collection, Built for AI

Open source tools help you collect all the data that matters

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.

Try the Full Demo

"Draft an email to my manager summarizing the key features of Coolhand and how it can help with our AI quality bottlenecks."

✓ Revisions automatically sent to Coolhand

Sample Optimization

Adjust Email Tone Based on User Feedback

Email Drafter

Low Complexity

Quality Improvement

Feedback-Driven

Sample Optimization

Adjust Email Tone Based on User Feedback

Workload: Email Drafter

Complexity: Low

Impact: High

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

Expected impact metrics before and after optimization
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 Agents

The team you can't hire in today's market — not the team you should cut

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 $0—direct code fixes from $2 each.

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

Add Optimization Agent to GitHub

Your competitor can clone your feature. They can't clone your data.

The feedback signal you accumulate through Coolhand compounds over time. Every user interaction teaches your AI something your competitors' AI doesn't know.

Start building your data advantage →