AI Developer Tools
Automate the boring stuff, focus on building
From code generation to DevOps automation, streamline your development workflow with AI-powered tools.
Start Building FreeShip Faster
Automate repetitive development tasks
Fewer Bugs
Automated testing and code review
Better Docs
Auto-generated documentation
Developer Automation Use Cases
Discover how AI workflows can supercharge your development process
Code Generation
Generate boilerplate code, tests, and documentation with AI
API Testing
Automate API endpoint testing, validation, and monitoring
Documentation
Auto-generate README files, API docs, and code comments
DevOps Automation
Automate deployment notifications, log analysis, and incident response
Code Review Assist
AI-powered code review suggestions and security scanning
Data Migration
Automate database migrations, format conversions, and data sync
Example Developer Workflows
API Documentation Generator
Input an OpenAPI spec, AI generates human-readable docs, add examples, then export to Markdown or HTML.
Deployment Notifier
A GitHub webhook triggers, extract commit info, generate release notes, then post to Slack or Discord.
Test Data Generator
Define a schema, AI generates realistic test data, export to JSON or CSV, then use it in tests.
Ready to automate your development workflow?
Join developers using AI to build faster and smarter.
Get Started FreeCompare models, prompts and flows on the same inputs
Drag-and-drop flow builder
Describe the flow in one sentence and Evaligo builds it: prompts, web scraping, data extraction, tools and agents as connected nodes. Drag nodes on the canvas to edit it, or change it by instruction.
View DocsBuild a flow free
Any model as a variant, including open source
Pick the models you want to compare: OpenAI, Google, Anthropic, and open-source models such as DeepSeek, MiniMax, Kimi and Qwen through one OpenRouter key. Each variant runs the same flow on the same inputs; only the model, prompt or reasoning setting changes.
View DocsCompare models freeTest on your own data, or generate it
Run every variant over a dataset of real inputs. If you have none yet, Evaligo generates a realistic test set from a one-line description, so a 30-sample comparison does not wait for you to collect data.
View DocsCreate a test set
Judge every output blind
Scoring rubrics, written once
Write the criteria once: what a good output must do, and what costs points. AI judges score every output against the rubric without knowing which variant produced it, and record a one-line reason per score.
View DocsWrite your first rubric
Judge panels from several vendors
Use one judge model or a panel of three from different vendors, averaged. Per-judge scores stay visible, so you can see where the judges agree and where they do not.
View DocsSet up a judge panelRepeat runs
Model output and judging both vary between runs. Re-run an experiment with one click and compare runs side by side before you decide.
View DocsRun an experimentRead the scoreboard and deploy
Quality, cost and speed per output
Every experiment ends in one table: score, flawless outputs, cost per output and latency for each variant, with a score distribution per sample. Export it as a PDF report.
View DocsPromote the winning variant
Make the winning model, prompt or flow the live version with one click. The flow keeps its inputs, outputs and API endpoint.
View DocsTrain a router on the results
When an experiment finishes, one click trains a router on its scoreboard. It learns which model handles which kind of input, shows quality against cost with 95% error bars so you can choose a working point, and then runs as a model in your next experiment or in a deployed flow.
View DocsDeploy as a production API
Any flow deploys as a REST API with authentication, documentation and code examples. Batch processing and monitoring are built in.
View DocsBenchmarks we published, run on Evaligo
Every number below comes from an experiment you can reproduce: the same flow, the same inputs, blind judges, cost and speed per output.
Open source vs closed on writing
Six models rewrite 30 dating bios; three blind judges. gpt-5.6-luna 0.883, gemini-3.7-flash 0.879, DeepSeek V4 Pro 0.849.
Read the scoreboardModel versions, not just vendors
Salary negotiation coach on 30 offers. Gemini Flash 3.5 scored 0.68; the 3.7 release scored 0.75 at 3.5x lower cost, with no prompt change.
Read the scoreboardAgent architectures head to head
One agent, an assembly line, or agent plus editor: the same task built three ways, eight model mixes, a 14-criteria judge panel.
Read the scoreboardPricing: free plan, Pro at $7 a month
Both plans include the flow builder, experiments and API deployment.
Free
- 500 credits/month
- Visual workflow builder
- Web scraping & browser automation
- Models from OpenAI, Anthropic, Google and OpenRouter
- All integrations (GitHub, Bitbucket, etc.)
- Deploy as API endpoints
- One-time scheduled runs
- Bring your own API keys (unlimited)
Pro
- 10,000 credits/month
- Buy more credits when you need them
- Recurring schedules (hourly, daily, weekly)
- 10 concurrent API executions
- Priority email support
Credits are used for AI model calls with platform API keys. Use your own API keys for unlimited usage on any plan.