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Case Studies

Real-world examples of applying the AILIS framework to understand and analyze AI systems.

Compute Market Research

These newer drafts use AILIS as a lens for the emerging compute-market discussion:

Layered market framing

Compute as a Layered Market

Why compute financialization might depend on which layers are standardized, priced, and ignored.

Purpose

Case studies demonstrate how AILIS can be used to:

  • Analyze existing AI systems and map them to layers
  • Identify architectural patterns and anti-patterns
  • Compare different system designs
  • Guide architectural decisions

More community-driven case studies are still very much wanted.

Contributing Case Studies

We're especially interested in case studies that:

  • Analyze real systems - Map actual AI applications to AILIS layers
  • Compare architectures - Show different approaches to similar problems
  • Highlight challenges - Document where the model works well and where it struggles
  • Propose improvements - Suggest refinements based on real-world usage

Format

Case studies should include:

  1. System Overview - What system are you analyzing?
  2. Layer Mapping - How does it map to AILIS layers?
  3. Key Insights - What did you learn?
  4. Challenges - Where did the model fall short?
  5. Recommendations - How could AILIS be improved?

See our Contributing Guide for submission guidelines.

Examples We'd Love to See

  • Mapping a production chatbot architecture
  • Analyzing an autonomous agent system
  • Comparing RAG implementations
  • Evaluating multi-agent frameworks
  • Documenting model serving architectures

Get Involved

To contribute a case study:

  1. Open an issue proposing your case study
  2. Get feedback on scope and approach
  3. Submit a PR with your analysis
  4. Engage with community feedback

Have questions? Start a Discussion.

License

Case studies are licensed under CC BY 4.0 - freely shareable with attribution.