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Ship AI systems

Personal Knowledge Assistant

One portfolio-ready app — each lab adds a layer: API, RAG, tools, evals, safety, tracing, and production ops.

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Next layer: Basic LLM call →

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Copy a markdown checklist for your resume, GitHub README, or demo day —0% of the journey complete.

15 layers

  1. 01Basic LLM callllm-api-hello
  2. 02Structured outputstructured-output-lab
  3. 03Document retrievalbuild-mini-rag
  4. 04Citations & quality auditrag-quality-audit
  5. 05Tool callingfunction-calling-code
  6. 06Conversation memoryconversation-memory
  7. 07Evaluations in codeeval-in-code
  8. 08Prompt-injection defensesprompt-injection-in-code
  9. 09Tracingllm-tracing-lab
  10. 10Retry & error handlingapi-error-handling
  11. 11Controlled deploymentblue-green-lab
  12. 12Monitoring & rollbackproduction-monitoring-lab
  13. 13SLOs & error budgetsslo-lab
  14. 14Feature flags & health checksfeature-flags-lab
  15. 15Production ops gatecapstone-ops-lab
Full builder path →About the curriculum

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  • 01AI you already use
  • 02What AI is
  • 03The history of AI
  • 04AI and human capability
  • 05What AI can and can't do
  • 06Machine learning in plain English
  • 07Data fuels AI
  • 08Generative and older AI
  • 09Speech recognition
  • 10Why AI makes mistakes
  • 11Bias and fairness
  • 12AI copyright
  • 13Deepfakes and synthetic media
  • 14AI regulation basics
  • 15AI ethics scenarios
  • 16Model governance basics
  • 17Content safety basics
  • 18Privacy and smart sharing
  • 19Cost and tokens
  • 20Eval for everyone
  • 21AI and accessibility
  • 22Model cards and datasheets
  • 23Your AI learning map
All
All
All

Learn · Paths · Practice

Also browseReference · Tools · Companies

Topics

Choose a learning path →

All
  • 01AI you already use
  • 02What AI is
  • 03The history of AI
  • 04AI and human capability
  • 05What AI can and can't do
  • 06Machine learning in plain English
  • 07Data fuels AI
  • 08Generative and older AI
  • 09Speech recognition
  • 10Why AI makes mistakes
  • 11Bias and fairness
  • 12AI copyright
  • 13Deepfakes and synthetic media
  • 14AI regulation basics
  • 15AI ethics scenarios
  • 16Model governance basics
  • 17Content safety basics
  • 18Privacy and smart sharing
  • 19Cost and tokens
  • 20Eval for everyone
  • 21AI and accessibility
  • 22Model cards and datasheets
  • 23Your AI learning map
All
All
All

Learn · Paths · Practice

Also browseReference · Tools · Companies