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// Challenge library

Challenges

Complete a challenge to add a verified artifact to your public profile. Build in any language — evaluated on behaviour, not syntax.

// not ready for a full challenge?

~10 min

Try a prompt challenge — write a system prompt in the browser, scored in seconds. No setup needed.

Meeting Action Items →RAG Relevance Judge →

RAG Pipelines AI Agents MCP Servers Coding Agents Evals & Testing AI Tool Proficiency

Difficultyeasy medium hard

// 5 full challenges · RAG Pipelines

Build a RAG pipeline over a product FAQ

Build a retrieval-augmented generation pipeline that answers customer questions using a provided product FAQ dataset.

Avg 2–3 h·Any language·1 engineer completed

Extract structured data from multimodal documents

Build a document extraction pipeline that converts OCR blocks and document metadata into structured fields with evidence.

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Avg 8–12 h·Any language

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Production RAG with hybrid search and re-ranking

Build a production-grade RAG system combining BM25 and vector search with a re-ranking step, evaluated against a technical support dataset.

Avg 8–12 h·Any language·1 engineer completed

Build a multi-hop RAG system for policy questions

Build a RAG system that answers policy questions requiring evidence from multiple documents.

Avg 4–6 h·Any language

Build a RAG pipeline over multi-format documents

Build a RAG pipeline that handles mixed document formats — PDF text, markdown, and HTML — from a law firm knowledge base.

Avg 4–6 h·Any language·1 engineer completed

// scenario challenges

Scenario Challenges

One system prompt. Three different test inputs. Scored instantly in the browser — no GitHub repo, no local setup. About 1 hour. A good step up from a 10-minute prompt challenge.

Context-Grounded Q&A — 3 Document Types

Answer user questions strictly from retrieved context chunks — no hallucination

~1 hour·In-browser·3 scenarios