Which AI models can be compared?

Models from OpenAI, Google and Anthropic, plus open-source models such as DeepSeek, MiniMax, Kimi and Qwen through an OpenRouter key.

Can I use my own API keys?

Yes, on any plan you can bring your own OpenAI, Anthropic or Google keys, and those calls do not consume Evaligo credits.

How are outputs scored?

AI judges score each output against a rubric you write without knowing which variant produced it, recording a one-line reason per score; a three-judge panel from different vendors can be averaged.

Can workflows be deployed to production?

Yes, any flow deploys as a REST API with authentication, documentation and code examples, with batch processing and monitoring built in.

Evaligo

Evaligo brings collaboration, testing, and optimization together in one seamless platform. Teams can experiment with prompts, share results, and standardize best practices across departments.

Category:

Optimization

Maker:

Use Cases

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About Evaligo

Evaligo is a visual AI workflow builder with built-in A/B testing. Users build flows of prompts, agents and tools on a drag-and-drop canvas, or describe a flow in one sentence and have Evaligo generate it. Nodes cover web scraping, browser automation, data extraction, HTTP requests, conditional logic and integrations such as GitHub, Bitbucket, SMTP email and S3.

Any flow can be run as variants across several models, including OpenAI, Anthropic, Google and open-source models via OpenRouter, on the same dataset. If no dataset exists, Evaligo can generate a test set from a one-line description. Blind AI judges, alone or as a three-vendor panel, score outputs against a written rubric, and results are shown in a scoreboard of quality, cost and latency per variant, exportable as a PDF.

After an experiment, the winning variant can be promoted with one click, or a router can be trained to pick a model per input based on the quality and cost trade-off. Flows deploy as authenticated REST APIs with documentation, batch processing and monitoring. It suits teams that want to compare models and prompts on their own data before deploying.

Best for

Teams choosing between AI models on cost and quality
Developers deploying AI workflows as APIs
Prompt engineers running A/B tests on prompts
Builders of scraping and automation flows

Pros

Blind AI judge panels from multiple vendors score outputs against rubrics
Shows quality, cost and latency per output in one scoreboard
Trains per-input model routers from experiment results
Bring your own API keys for unlimited usage on any plan

Cons

Free plan limited to one-time scheduled runs and 5 concurrent API executions
Platform-key AI usage pauses on Free when 500 monthly credits run out

Pricing

Free plan with 500 credits per month and no credit card required; Pro costs $7 per month with 10,000 credits, recurring schedules, 10 concurrent API executions and optional extra credit packs.

Evaligo FAQ

Which AI models can be compared?: Models from OpenAI, Google and Anthropic, plus open-source models such as DeepSeek, MiniMax, Kimi and Qwen through an OpenRouter key.
Can I use my own API keys?: Yes, on any plan you can bring your own OpenAI, Anthropic or Google keys, and those calls do not consume Evaligo credits.
How are outputs scored?: AI judges score each output against a rubric you write without knowing which variant produced it, recording a one-line reason per score; a three-judge panel from different vendors can be averaged.
Can workflows be deployed to production?: Yes, any flow deploys as a REST API with authentication, documentation and code examples, with batch processing and monitoring built in.