creating-context-packs-for-ai

name	creating-context-packs-for-ai
description	Creates structured context documents that AI systems can consume to generate consistent, accurate content for a feature. Use when preparing a feature for AI-assisted content generation, building AI writing workflows, or enabling LLMs to write within product constraints.

Creating Context Packs for AI

Quick start

Collect or infer:

• Feature name and scope
• Existing context documents (state maps, vocabulary, content briefs)
• AI system requirements (token limits, format constraints)
• Content types the AI will generate
• Guardrails and constraints the AI must respect

Then produce output using TEMPLATES.md. Validate with RUBRIC.md.

Workflow

1. Gather all existing feature context (vocabulary, states, constraints, tone).
2. Identify what content the AI will generate and in what contexts.
3. Structure context following the context pack schema.
4. Include explicit constraints and prohibited patterns.
5. Add examples of correct and incorrect outputs.
6. Validate completeness using the completeness checklist.
7. Test with target AI system to verify usability.
8. Run the rubric check. Revise until it passes.

Degrees of freedom

• Default: Low. Context packs must be precise and complete.
• Allowed variation: Format may adapt to AI system requirements. Detail level may vary by content complexity.

Failure modes to avoid

• Omitting constraints that lead to off-brand content
• Including redundant information that wastes tokens
• Using ambiguous language that AI interprets differently than intended
• Missing state-specific guidance (AI doesn't know what state it's writing for)
• Providing examples without explaining why they're correct
• Creating context packs that exceed AI token limits

References

• Templates: TEMPLATES.md
• Rubric: RUBRIC.md
• Examples: EXAMPLES.md
• Context pack schema: reference/context-pack-schema.md
• Completeness checklist: reference/completeness-checklist.md