The Eval Tool Built for
Product Managers
Rate AI outputs, see patterns, export specs—no coding required. Built for PMs, ops managers, and domain experts who define quality.
Your New Workflow
From 30 hours of manual testing to 30 minutes of batch evaluation.
Create Your Test Suite
Add 20-30 real user scenarios. Copy from support tickets, edge cases, or competitive features. No coding required.
Run Batch Evaluation
Generate all outputs at once. See them in a visual grid. Your eyes spot patterns instantly—no need to click through one by one.
Rate & Iterate
Click thumbs up/down on each output. Change your prompt. Re-run only what changed. Ship your feature with confidence.
Everything You Need to Ship Faster
Built for the way PMs actually work. No PhD in machine learning required.
Batch Evaluation Grid
See 20-30 outputs at once in a visual grid. Your eyes spot patterns faster than any algorithm. Rate outputs with a single click.
- Visual pattern recognition
- One-click ratings
- Instant comparisons
Scenario Management
Build test suites with 20-50 real-world scenarios. Never worry about regression bugs again. Your scenarios grow as your product evolves.
- Reusable test suites
- Regression prevention
- Version tracking
Smart Rating Carry-Forward
Changed a word in your prompt? Only re-rate the outputs that changed. Save hours on each iteration. Your previous ratings stay locked.
- Incremental evaluation
- Time savings
- Rating consistency
Multi-Provider Support
Test GPT-5, Claude Opus, o3, and more—all in one interface. Compare models side-by-side. Switch providers with a single click.
- OpenAI, Anthropic, Google
- Model comparison
- Provider flexibility
Keyboard Shortcuts
Rate 30 outputs in under 5 minutes using keyboard shortcuts. Navigate with arrows, rate with numbers, no clicking required.
- Lightning-fast rating
- Arrow navigation
- Number key ratings
Export Test Suites
Export your test suites to JSON or Markdown. Share with your team. Run in CI/CD pipelines. Your data, your format.
- JSON export
- Markdown export
- CSV export
Usage Dashboard
Track your output quotas, model usage, and costs in real-time. Never get surprised by your bill. See exactly where your budget goes.
- Quota tracking
- Cost monitoring
- Usage history
Failure Clustering
Automatically group similar failures together. Find root causes faster. Fix 5 bugs with one prompt change instead of playing whack-a-mole.
- Pattern detection
- Root cause analysis
- Efficient debugging
Selective Retest
Only re-run failed test cases. Don't waste time and money re-testing what already works. Iterate 10x faster on your worst failures.
- Cost savings
- Focused iteration
- Faster debugging
Built for the Discovery Phase
We answer the "what is good?" question that comes before deployment tools' "how do we ship and monitor it?" focus.
Pattern Discovery vs. Manual Testing
You don't need to know your criteria upfront. Rate 20 outputs, and Sageloop tells you what "good" means.
Rate outputs and the system automatically extracts behavioral patterns like length, tone, structure.
- •Real-time success metrics: "73% of outputs meet your standards"
- •Inductive learning from examples, not predefined rules
- •Patterns emerge from your ratings automatically
Traditional approach: Teams define evaluation criteria upfront, requiring manual configuration and assuming you already know what success looks like.
PM-Centric vs. Engineer-Centric
The only eval tool built for PMs. No code. No setup. Just your judgment.
Primary user is the Product Manager who defines quality without code. Also for ops managers, QA leads, and domain experts.
- •Anyone with quality judgment can create specs—no technical skills needed
- •Creates shared language between PM and engineering
- •Workflow: Rate outputs → See what matters → Get testable criteria
Traditional approach: Engineer-centric tools where domain experts can edit prompts, but tests require engineering setup and configuration.
Discovery Tool vs. Management Platform
Figma for AI behavior. Design your spec before engineers implement.
A behavioral design tool that helps you figure out what "good" looks like during the specification phase.
- •Small batch testing (10-20 scenarios for MVP)
- •Focuses on specification phase before implementation
- •Export becomes your test suite for CI/CD
Traditional approach: Prompt management platforms focus on production observability, A/B testing, and gradual rollouts with built-in test execution.
Simple Ratings vs. Complex Evaluations
Rate it like you're reviewing a product. 5 stars = good. 1 star = bad. We handle the rest.
Dead simple star ratings with text feedback. The system figures out what your ratings mean.
- •No need to define grading rubrics upfront
- •AI-powered pattern extraction does the heavy lifting
- •Natural, intuitive rating system everyone understands
Traditional approach: Sophisticated custom evaluators, backtests, and regression suites requiring upfront investment in test definition.
Batch Visual Evaluation vs. Sequential Testing
See all your AI outputs at once. Patterns jump out in seconds.
View 20-30 outputs simultaneously instead of testing one at a time. Visual pattern recognition beats sequential testing.
- •Keyboard shortcuts for rapid rating (5 minutes for 30 outputs)
- •See patterns that jump out visually
- •Human pattern recognition faster than any algorithm
Traditional approach: Run tests sequentially or in background, with results presented as logs or metrics dashboards.
Sageloop complements deployment tools—use both together for the full workflow.
Ready to Ship Faster?
Join Product Managers who’ve cut their evaluation time from 30 hours to 30 minutes. Start free, no credit card required.