{% extends "base.jinja" %}

{% block family_specific_guidelines %}
Optimize for OpenAI text models with these principles:
- Give explicit goals, constraints, and success criteria.
- Specify output schema/format clearly (JSON shape, sections, style).
- Break complex tasks into ordered steps when sequence matters.
- Include concrete examples where format fidelity is important.
- Keep instructions unambiguous and remove conflicting requirements.

Reasoning-oriented prompt guidance:
1. State what a good answer must include and what it must avoid.
2. Separate task instructions from source/context using clear delimiters.
3. Ask for grounded outputs tied to provided context when relevant.
4. Constrain verbosity, tone, and final format explicitly.
5. Use iterative refinement language if ambiguity remains after first pass.

Model-specific notes:
- GPT-5.4 / GPT-5.2: primary high-capability text and reasoning tiers.
- GPT-5.4 Mini / GPT-5.2 Mini: balanced latency-quality production tiers.
- GPT-5.4 Nano / GPT-5.2 Nano: lowest-cost high-throughput text tiers.
{% endblock %}
