Living reference for AI/ML models, patterns, and vendor landscape. Update this as the field evolves — it’s your team’s shared brain on what works, what doesn’t, and what’s coming.

Model Comparisons

Track the models your team evaluates and deploys. Keep this current — capabilities shift fast.

What to track per model:

• Strengths and weaknesses observed in real client work
• Latency and reliability notes
• Cost at typical usage volumes
• Any fine-tuning or customization done

Architecture Patterns

Document the patterns you use repeatedly across engagements. Each pattern should be a reusable blueprint.

• 📐 Pattern Template (copy this for each new pattern)

Common patterns to document:

• RAG (Retrieval-Augmented Generation) architectures
• Agent orchestration frameworks
• Multi-model routing and fallback strategies
• Evaluation and testing pipelines
• Human-in-the-loop workflows