Hubert Ronald

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Prompt Engineering ​

Table of contents ​

Purpose ​

Prompts translate structured RetainAI context into bounded, reviewable advisor output.

Prompt contract ​

Prompts should define:

text
role
task
input schema
allowed evidence
output schema
failure behavior
safety constraints
locale

Structured output ​

Prefer validated structured responses:

json
{
  "recommendation_key": "advisor.action.review_manager_context",
  "rationale_keys": [],
  "evidence": [],
  "limitations": [],
  "confidence": null
}

Evidence grounding ​

Provider output must reference supplied evidence and must not invent employee, resume, psychometric, or organizational facts.

Provider abstraction ​

Supported adapter states:

text
disabled
gemini
bedrock

Prompt templates should not depend on a provider-specific response format.

Localization ​

Prompt and explanation architecture must support:

text
en
es

The backend should return stable message keys and variables where possible. The dashboard renders localized text.

Safety and review ​

Outputs remain advisory and reviewable. Prompts must not authorize autonomous high-impact employment decisions.

Versioning and evaluation ​

Track:

text
prompt version
provider
model identifier
locale
input schema
output schema
evaluation dataset
quality results