Ship Support Escalations With Proof

Launch a validated escalation workflow in days. The PromptOps Support Escalation Pack combines a tuned prompt, gold-standard dataset, and automated Ragas scoring so you can sell AI operations with confidence.

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Backed by Nightly Metrics

We run the benchmark every night and publish the scorecard so you can guarantee quality to stakeholders.

1.00 Context Relevancy

Every escalation justification ties back to the conversation transcript.

0.00 Answer Relevancy

Guardrail signals catch hallucinated escalation reasons during testing.

0.00 Faithfulness

Faithfulness stays conservative so you can detect drifts before go-live.

What’s Inside

Production Prompt Template

Editable Markdown prompt that captures sentiment, priority, and escalation rationale. Plug into OpenAI, Anthropic, or Bedrock.

Gold Dataset

Sample transcripts with expected escalation outcomes so you can A/B test models and prompt tweaks quickly.

Automated Scoring

CLI plus GitHub Actions workflow output JSON scorecards (`*.metrics.json`) for your analytics stack.

Launch Playbook

Docs that cover integration, API key management, and monetization angles for agencies and freelancers.

Choose Your Package

Starter — $149

Prompt, dataset, runbook, and ready-to-run evaluation scripts.

MOST POPULAR

Professional — $299

Starter + nightly GitHub workflow template + quarterly prompt refreshes.

Enterprise — $699

Professional + onboarding workshop, SLA-backed regression analysis, and white-label rights.

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How It Works

  1. Clone the repository or download the release zip.
  2. Copy `.env.example` to `.env`, set `OPENAI_API_KEY`, and run a dry evaluation.
  3. Score with Ragas to generate the `.metrics.json` scorecard.
  4. Ship to your clients and reuse the harness for every future workflow.
python scripts/evaluate_prompt.py prompts/templates/support/escalation.md --dataset examples/evals/escalation.jsonl --dry-run
python scripts/evaluators/ragas_runner.py reports/escalation/<timestamp>.json --dataset examples/evals/escalation.jsonl

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