GPT-5 in preview. Claude 4.6 GA. Gemini 2.5 Pro. Llama 4 open-weight. Every platform now supports multiple models — only JieGou lets you prove which is best on your data.
Don't just run AI —
prove it works
Every platform now supports multiple models. Only JieGou lets you prove which is best — on your data, with your recipes, tracking real costs. Compare recipes, models, and entire workflows side by side with LLM-as-judge scoring, multi-judge consensus, and live A/B routing.
Bakeoff Modes
Six ways to evaluate your AI
From simple recipe comparison to live traffic routing, choose the evaluation approach that fits your needs.
Compare two different recipes on the same inputs
Same recipe, different LLM providers or models
2-3 independent LLM judges with consensus scoring
Full end-to-end workflow comparison
Live traffic splitting with statistical auto-stop
Auto-generated test data from input schemas
Recipe Comparison
Recipe vs. recipe, model vs. model
Run the same inputs through different recipes or the same recipe on different models. See outputs side by side and let an LLM judge score each result on quality, accuracy, and relevance.
- Compare two recipes on identical inputs
- Test the same recipe across different LLM providers
- Side-by-side output display with diff highlighting
- LLM-as-judge scores each output automatically
Multi-Judge Evaluation
Consensus scoring with statistical confidence
Use two or three independent LLM judges to evaluate outputs. JieGou calculates inter-judge agreement using Kendall's tau and Spearman's rho, and reports 95% confidence intervals so you know when results are statistically meaningful.
- 2-3 independent LLM judges per evaluation
- Kendall's tau and Spearman's rho correlation
- 95% confidence intervals with standard deviation
- Cost estimation with multi-judge multiplier
Workflow Bakeoffs
Compare entire workflows head-to-head
Go beyond single recipes. Run full workflows against each other to compare end-to-end output quality, execution time, and cost. Ideal for evaluating different automation strategies before committing to one.
- Full workflow execution with token tracking
- Compare total cost and execution time
- End-to-end output quality scoring
- Available on Enterprise plans
A/B Test Routing
Live traffic splitting with auto-stop
Route live execution traffic between recipe or workflow variants. JieGou tracks performance with chi-square statistical testing and automatically stops routing to the losing variant when the winner reaches significance.
- Split live traffic between two variants
- Chi-square statistical testing for significance
- Auto-stop when a winner is determined
- Redis-cached routing decisions for consistency
Synthetic Inputs
Auto-generate test data from schemas
Don't have enough real data to run a meaningful comparison? JieGou generates synthetic inputs from your recipe or workflow input schemas, giving you a diverse set of test cases without manual effort.
- Generate test inputs from JSON Schema definitions
- Diverse, realistic data for meaningful comparisons
- No manual test case creation required
- Works with both recipe and workflow schemas
How It Works
From setup to results in four steps
Choose a mode
Pick recipe vs. recipe, model vs. model, workflow comparison, or A/B routing.
Add inputs
Use real data, generate synthetic inputs from schemas, or provide your own test cases.
Run the bakeoff
Both variants execute in parallel. LLM judges score each output independently.
Review results
See scores, confidence intervals, cost comparison, and the winning variant.
Start your first bakeoff
Find the best recipe, model, or workflow for every use case — with data, not guesswork.