# Evaligo

> Evaligo is a platform for building AI workflows and A/B testing them. You build a flow of connected nodes (prompts, agents, tools, web scraping, data), run experiments that compare models, prompts or whole flows on the same dataset with blind AI judges, and deploy the winning flow as a REST API.

Key facts:

- Models: OpenAI, Anthropic and Google Gemini, plus open-source models such as DeepSeek, Kimi, MiniMax and Qwen through OpenRouter.
- Experiments: every variant runs on the same inputs; the scoreboard shows judge score, cost per output and latency per variant, with per-sample scores.
- Judges: rubric-based LLM judges that score each output without knowing which variant produced it; one judge, or a panel of judges from different vendors whose scores are averaged.
- Routers: a KNN router (the method from UIUC's open-source LLMRouter library) can be trained on a finished experiment. It picks a model per input, is evaluated leave-one-out with 95% error bars, and runs in the next experiment like any other model.
- Deployment: any flow can be deployed as an authenticated REST API with generated documentation.
- Pricing: free plan with 500 AI credits a month and no credit card; Pro at $7 a month.
- App: https://app.evaligo.com (sign up at https://app.evaligo.com/signup).

## Product

- [Home](https://www.evaligo.com/): What Evaligo is and how the build, test and deploy loop works.
- [Pricing](https://www.evaligo.com/pricing): Free plan with 500 AI credits a month and no credit card; Pro at $7 a month with 10,000 credits; bring your own API keys.
- [AI workflow builder](https://www.evaligo.com/ai-workflow-automation): Visual flow builder: prompts, agents, tools, web scraping and data nodes connected on a canvas.
- [Prompt engineering](https://www.evaligo.com/prompt-engineering): Write, version and test prompts against datasets with evaluators.
- [Templates](https://www.evaligo.com/templates): Ready-made AI workflow templates that open in the builder.
- [Use cases](https://www.evaligo.com/use-cases): Workflow examples by team: marketing, SEO, e-commerce, sales, data processing, developer tools.
- [Integrations](https://www.evaligo.com/integrations): Services a flow can read from or write to.
- [Comparisons](https://www.evaligo.com/compare): Evaligo compared with n8n, Zapier and Make.

## Benchmarks and case studies

Experiments run on Evaligo and published with their scoreboards, costs and method.

- [A Router Trained on 63 Product Listings Matched Claude Sonnet 5 at 4% of the Cost](https://www.evaligo.com/blog/ai-model-router-listing-localization): Four models localized 63 listings into seven languages. A router trained on that scoreboard then scored 0.909 on 28 unseen listings, Sonnet 0.911, at $0.00033 versus $0.00885 per listing.
- [Six AI Models Rewrite 30 Cringe Dating Bios, Scored by Three Judges](https://www.evaligo.com/blog/best-ai-model-dating-profile-bios): Six models, the same 30 deliberately bad bios, three blind AI judges. gpt-5.6-luna scored highest at $0.00056 per profile. The full scoreboard, per judge.
- [The Expensive AI Apologized Its Way Out of a Raise — Then Its Newest Version Fixed It](https://www.evaligo.com/blog/best-ai-model-salary-negotiation): We had three budget AI models negotiate 30 job offers (nurse to staff engineer, hourly to $200k+), scored blind by an AI judge. gemini-3.5-flash finished last for apologizing too much — then 3.7-flash fixed the tone and jumped to second. The cheapest model still won every axis.
- [One Agent, an Assembly Line, or Agent + Editor? We Built the Same AI Agent 3 Ways](https://www.evaligo.com/blog/ai-agent-architecture-comparison): Does architecture matter more than model choice? We built the same Reddit-posting agent three different ways, ran 8 model mixes through a 14-criteria AI judge panel, and the most expensive configuration lost twice. Here is the full scoreboard.
- [Which AI Model Should Write Your Reddit Posts? We Tested 6 Combos](https://www.evaligo.com/blog/best-ai-model-reddit-posts): Reddit rewards value and bans self-promo. We built a flow that turns your content into community-ready posts in two stages — write, then fix for the rules — and benchmarked 6 model combos on quality, rule-compliance, and cost. Here is the scoreboard.
- [Which AI Model Grades Writing Level Best? We Tested 6 Across 2 Languages](https://www.evaligo.com/blog/scoring-writing-proficiency-across-languages): AI can score a learner CEFR writing level, but which model does it best, and how accurately? We built one flow to detect the language, route it, and grade it, then benchmarked 6 models in English and Hebrew. Here is the scoreboard.

## Documentation

- [Documentation home](https://www.evaligo.com/docs): All Evaligo documentation.
- [AI workflow automation docs](https://www.evaligo.com/ai-workflow-automation/docs): Building, running and deploying flows.
- [Prompt engineering docs](https://www.evaligo.com/prompt-engineering/docs): Prompts, datasets, experiments and the playground.
- [What are Flows?](https://www.evaligo.com/ai-workflow-automation/docs/pages/getting-started/what-are-flows): Introduction to visual AI workflows.
- [Your First Flow](https://www.evaligo.com/ai-workflow-automation/docs/pages/getting-started/first-flow): Build a simple workflow in 5 minutes.
- [Playground Overview](https://www.evaligo.com/ai-workflow-automation/docs/pages/getting-started/playground-overview): Master the flow canvas and tools.
- [Creating Nodes](https://www.evaligo.com/ai-workflow-automation/docs/pages/building/creating-nodes)
- [Connecting Nodes](https://www.evaligo.com/ai-workflow-automation/docs/pages/building/connecting-nodes)
- [Variable Mapping](https://www.evaligo.com/ai-workflow-automation/docs/pages/building/variable-mapping)
- [Flow Patterns](https://www.evaligo.com/ai-workflow-automation/docs/pages/building/flow-patterns)
- [Nodes Overview](https://www.evaligo.com/ai-workflow-automation/docs/pages/nodes/overview)
- [API Input/Output](https://www.evaligo.com/ai-workflow-automation/docs/pages/nodes/api-input-output)
- [Dataset Source/Sink](https://www.evaligo.com/ai-workflow-automation/docs/pages/nodes/dataset-nodes)
- [Prompt Node](https://www.evaligo.com/ai-workflow-automation/docs/pages/nodes/prompt-node)
- [Website Mapper](https://www.evaligo.com/ai-workflow-automation/docs/pages/nodes/website-mapper)
- [Page Scraper](https://www.evaligo.com/ai-workflow-automation/docs/pages/nodes/page-scraper)
- [HTML Text Extractor](https://www.evaligo.com/ai-workflow-automation/docs/pages/nodes/html-extractor)
- [Array Splitter](https://www.evaligo.com/ai-workflow-automation/docs/pages/nodes/array-splitter)
- [Array Flatten](https://www.evaligo.com/ai-workflow-automation/docs/pages/nodes/array-flatten)
- [Running Flows](https://www.evaligo.com/ai-workflow-automation/docs/pages/execution/running-flows)
- [Sync vs Async](https://www.evaligo.com/ai-workflow-automation/docs/pages/execution/sync-vs-async)
- [Progress Tracking](https://www.evaligo.com/ai-workflow-automation/docs/pages/execution/progress-tracking)
- [Error Handling](https://www.evaligo.com/ai-workflow-automation/docs/pages/execution/error-handling)
- [Batch Processing](https://www.evaligo.com/ai-workflow-automation/docs/pages/execution/batch-processing)
- [Deploying as APIs](https://www.evaligo.com/ai-workflow-automation/docs/pages/deployment/deploying-apis)
- [API Authentication](https://www.evaligo.com/ai-workflow-automation/docs/pages/deployment/api-authentication)
- [API Documentation](https://www.evaligo.com/ai-workflow-automation/docs/pages/deployment/api-documentation)
- [Monitoring APIs](https://www.evaligo.com/ai-workflow-automation/docs/pages/deployment/monitoring)
- [Using Prompts in Flows](https://www.evaligo.com/ai-workflow-automation/docs/pages/integration/using-prompts): Integrate tested prompts from Playground.
- [Using Datasets](https://www.evaligo.com/ai-workflow-automation/docs/pages/integration/using-datasets): Connect flows to evaluation datasets.
- [Continuous Evaluation](https://www.evaligo.com/ai-workflow-automation/docs/pages/integration/continuous-evaluation): Build quality feedback loops.
- [Website Content Analyzer](https://www.evaligo.com/ai-workflow-automation/docs/pages/tutorials/website-content-analyzer): Complete workflow for analyzing websites.
- [Lead Enrichment Pipeline](https://www.evaligo.com/ai-workflow-automation/docs/pages/tutorials/lead-enrichment): Automate B2B lead scoring.

## Guides

- [Which AI Model Should Fact-Check Your Articles? We Tested 9](https://www.evaligo.com/blog/best-ai-model-fact-checking-articles): AI writes fluent prose and gets facts wrong. We built a flow that verifies every claim against the live web and repairs the wrong ones, then benchmarked 9 models on fact-accuracy, readability, and cost. Here is the scoreboard.
- [How to Use Pre-Built AI Workflow Templates for SEO Teams (2026 Guide)](https://www.evaligo.com/blog/ai-workflow-templates-for-seo-teams): A practical guide to automating keyword tracking, SERP analysis, Google Search Console reporting, backlink prospecting, and content brief creation, without writing a single line of code.
- [12 Pre-Built AI Workflow Templates for SEO Teams (2026)](https://www.evaligo.com/blog/pre-built-ai-workflow-templates-for-seo-teams): A guide to the 12 pre-built AI workflow templates SEO teams can deploy in minutes: keyword research, content briefs, SERP analysis, internal linking, and weekly Google Search Console reports.
- [How We Built an Agentic AI Workflow for Instant Competitor Discovery](https://www.evaligo.com/blog/agentic-competitors-finder-ai-workflow): A technical deep dive into building the Agentic Competitors Finder, an AI workflow that discovers and analyzes competitors in 15-25 seconds using autonomous web research, tool calling, and real-time analysis. Includes ClientCues case study and integration guide.
- [Scaling AI Workflows: From Prototype to Production | Complete 2026 Guide](https://www.evaligo.com/blog/scaling-ai-workflows-prototype-to-production): Learn how to scale AI workflows from prototype to production with batch processing, parallel execution, API deployment, and error handling. Practical strategies for performance optimization, cost reduction, and reliability at scale.
- [AI Workflow Monitoring in Production: The Complete Observability Guide for 2026](https://www.evaligo.com/blog/ai-workflow-monitoring-production-observability-guide): Learn how to monitor AI workflows in production. Track execution, costs, errors, and performance with observability best practices. Includes dashboards, alerting, and debugging strategies.
- [The Complete Guide to AI Workflow Automation in 2026](https://www.evaligo.com/blog/complete-guide-ai-workflow-automation): Learn how to build, deploy, and optimize AI workflow automation. From basic concepts to advanced patterns, this guide covers everything you need to automate with AI.
- [How to Automate Ad Compliance Checking with AI](https://www.evaligo.com/blog/automate-ad-compliance-checking): Build an automated ad compliance system that validates ads against brand guidelines, legal requirements, and platform policies. Step-by-step guide with real examples.
- [AI Batch Processing: Best Practices for Scale](https://www.evaligo.com/blog/ai-batch-processing-best-practices): Master AI batch processing with parallel execution, error handling, and optimization techniques. Process thousands of documents efficiently.
- [Marketing Workflow Automation: From Manual to AI-Powered](https://www.evaligo.com/blog/marketing-workflow-automation-guide): Transform your marketing operations with AI workflow automation. Learn to automate content creation, social media, email campaigns, and more.
- [Error Handling Patterns for AI Workflows](https://www.evaligo.com/blog/error-handling-ai-workflows): Build resilient AI workflows with proper error handling. Learn retry strategies, fallback patterns, and debugging techniques.
- [AI Automation Templates: Getting Started Fast](https://www.evaligo.com/blog/ai-automation-templates-getting-started): Skip the learning curve with pre-built AI automation templates. Learn how to use, customize, and deploy templates for common use cases.
- [Prompt Engineering: Testing and Iteration Best Practices](https://www.evaligo.com/blog/prompt-engineering-testing-iteration): Master prompt engineering with systematic testing and iteration. Learn how to evaluate, compare, and optimize your AI prompts.
- [Building Secure API-Driven AI Workflows](https://www.evaligo.com/blog/secure-api-driven-ai-workflows): Deploy AI workflows as secure APIs. Learn authentication, rate limiting, input validation, and security best practices.

## Optional

- [Full text of every blog post](https://www.evaligo.com/llms-full.txt): This file plus the complete articles in Markdown.
- [Blog RSS feed](https://www.evaligo.com/blog/rss.xml)
- [Sitemap](https://www.evaligo.com/sitemap.xml)
- [About Evaligo](https://www.evaligo.com/about)
- [Contact](https://www.evaligo.com/contact)