Architecture Decision Record Kit for AI Systems
Document AI Design Choices Like a Principal Engineer
ADR template for AI/ML systems with 10 pre-filled examples covering the architecture decisions that matter most: single-agent vs multi-agent, RAG vs fine-tuning, checkpoint backends, vector DB selection, orchestration framework, and more.
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Document AI design choices like a principal engineer
Get an ADR template pack with pre-filled examples for multi-agent architecture, checkpointing, RAG vs fine-tuning, and deployment tradeoffs.
What's covered
Inside the template
01
ADR Template
- Context and problem statement
- Decision and rationale
- Consequences (positive/negative)
- Alternatives considered
- Validation criteria
- Rollback plan
02
Pre-Filled Examples (10)
- Single-agent vs multi-agent
- RAG vs fine-tuning
- Checkpoint backend selection
- Cross-vendor vs same-vendor validation
- HITL gate placement strategy
03
Decision Tree
- When to write an ADR
- Threshold criteria for formalization
- Lightweight vs full ADR decision
04
Review Checklist
- Completeness verification
- Alternatives coverage
- Rollback feasibility
- Stakeholder alignment
Next Step
Turn this into an architecture workflow the team can keep using
Use this resource to sharpen the engineering decision, then move into the capability path that implements the system with production discipline.
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