We are a Finland-based product partner. We design and build digital products, and help teams turn promising AI prototypes into dependable services.
Our open-source work shares the practical tools and lessons behind reliable delivery: useful outcomes, evaluation, evidence, security, operational ownership, and learning across disciplines.
| Clarify | Build | Ship | Monitor |
|---|---|---|---|
| Frame the outcome and boundaries. | Make the smallest useful system real. | Prove it is ready for people and production. | Learn from quality, operations, and users. |
- Production AI Checklist — assess production readiness and make missing evidence visible in CI.
- AI Evals Starter — test recorded AI outputs with deterministic, provider-neutral scorers.
- RAG Quality Workshop — improve retrieval, grounding, security, monitoring, and cost hands-on.
- Tips for Building AI — practical, opinionated advice for teams building real-world AI products.
- AI Failure Drills — facilitator-ready tabletop exercises for rehearsing production failures.
Every project is Apache-2.0 licensed, maintained in English, and designed to start without model API keys or paid services.
Questions, real experience, and focused contributions are welcome. Read our contribution guide and the support policy in each repository before opening an issue.
Attractor is the maintainer. Community value comes first.
