# daveebbelaar/ai-cookbook

Examples and tutorials to help developers build AI systems

Repository: https://github.com/daveebbelaar/ai-cookbook
Canonical: https://ross.abutalabs.com/products/ai-cookbook
Homepage: https://www.youtube.com/@daveebbelaar
Language: Python
License: MIT
License Family: permissive
Topics: agents, ai, anthropic, llm, openai, python
Last push: 2026-07-09T07:55:18+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 91, release rhythm 35, longevity 41
- inputs: {"age_days": 580, "days_push": 55, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4392, forks 1558 (observed 2026-08-28T04:08:47.239270+00:00)

## What it is
A collection of examples and tutorials with copy/paste code snippets for building AI systems with LLMs. It covers agents, OpenAI, Anthropic, and related Python-based AI development patterns.

## Use cases
- learn to build ai agents in python
- find llm code examples to copy into my project
- tutorial for building ai systems with openai and anthropic
- get started with generative ai development
- example code for rag and agent patterns

## When to choose
- you want practical, copy-paste Python snippets for LLM and agent development
- you are learning to build AI systems and want tutorial-style examples
- you work with OpenAI or Anthropic APIs and want reference patterns

## When to avoid
- you need a production-ready library or framework rather than example code
- you need a non-Python stack
- you want comprehensive official documentation instead of curated tutorials

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, llm-inference, rag, prompt-engineering, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials, developer-tools
- platform: python
- tags: cookbook, code-examples, openai, anthropic, genai, ai-agents

## Member repositories
- daveebbelaar/ai-cookbook (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:47.239270+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:21:11.650393+00:00, confidence not recorded.
  - readme: https://github.com/daveebbelaar/ai-cookbook (fetched 2026-08-28T04:08:47.239270+00:00, sha fc3945a62fb4)
  - homepage: https://www.youtube.com/@daveebbelaar (fetched 2026-08-29T09:09:05.395262+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.