ClinchWorks
Explore a subject, work through the curriculum, and choose your next step.
Make AI systems reproducible, observable, and maintainable. Expanded engineering lessons with complete local practice, worked solutions, failure cases and instructor assessment.
Build exact vector retrieval, measure approximation failures, implement persisted metadata-filtered CRUD, and diagnose retrieval errors with labeled evaluation. Includes metric calculations, a coarse-list ANN reference, and optional real SentenceTransformer and Qdrant workflows.
Integrate RAG, agents, MCP, fine-tuning, serving, evaluation, and production engineering into one portfolio-grade AI system. Expanded engineering lessons with complete local practice, worked solutions, failure cases and instructor assessment.
Build reliable structured tool execution for LLM applications. Expanded engineering lessons with worked examples, runnable local practice, failure investigation and evidence-based assessment.
Comprehensive engineering curriculum covering Transformer architectures, Vector Embeddings, RAG systems, and Autonomous Agent tool calling patterns.
The premier, masterclass-level training on Google Antigravity 2.0 — the agent-first desktop platform. Covers multi-process Electron runtime architecture, the Left Sidebar, Chat Canvas, Artifacts & Split Canvas, autonomous Planning Mode, enterprise security sandboxing, permission policies, background daemon scheduling, custom skills, Model Context Protocol (MCP), and production telemetry.
