{"product_id":"agentic-system-prompt-evaluator-library","title":"Agentic System Prompt \u0026 Evaluator Library","description":"\u003ch2\u003eDeploy 25 production system prompts backed by automated LLM-as-a-Judge evaluation tooling.\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eAgentic System Prompt \u0026amp; Evaluator Library\u003c\/strong\u003e is a professional prompt engineering and automated evaluation framework for developers and AI builders who need reliable, deterministic results from generative models. It pairs battle-tested, structured system prompts with an automated evaluation harness that scores outputs for groundedness, hallucination, JSON schema validity, and tool calling precision.\u003c\/p\u003e\n\u003cp\u003eStop eyeballing model responses or hoping prompts won't break on edge cases. Implement automated regression testing and quality gates for your AI workflows.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this helps you do\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eEliminate prompt regressions when switching or updating underlying LLMs (OpenAI, Anthropic, Gemini, DeepSeek)\u003c\/li\u003e\n  \u003cli\u003eDeploy production-tested system prompts for complex reasoning, autonomous tool routing, and structured data extraction\u003c\/li\u003e\n  \u003cli\u003eAutomatically detect hallucinations, unbacked assertions, and missing citations before outputs reach users\u003c\/li\u003e\n  \u003cli\u003eEnforce strict JSON schema compliance using Pydantic validation and deterministic repair rules\u003c\/li\u003e\n  \u003cli\u003eIntegrate continuous quality benchmarks into CI\/CD pipelines with automated Pytest suites and JSON scorecards\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWhat you get (Deliverables Breakdown)\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003e25 Production System Prompts (Markdown + JSON):\u003c\/strong\u003e\n    \u003cul\u003e\n      \u003cli\u003e\n\u003cem\u003eReasoning \u0026amp; Planning:\u003c\/em\u003e Multi-step chain-of-thought, self-correction, ReAct loops, and task decomposition prompts\u003c\/li\u003e\n      \u003cli\u003e\n\u003cem\u003eStructured Data Extraction:\u003c\/em\u003e Invoice extraction, resume parsing, entity extraction, and schema enforcement\u003c\/li\u003e\n      \u003cli\u003e\n\u003cem\u003eCoding \u0026amp; Technical Tasks:\u003c\/em\u003e Unit test generator, code reviewer, SQL query synthesizer, and bug triager\u003c\/li\u003e\n      \u003cli\u003e\n\u003cem\u003eTool Selection \u0026amp; Argument Binding:\u003c\/em\u003e MCP tool routers, API parameter constructors, and fallback handlers\u003c\/li\u003e\n      \u003cli\u003e\n\u003cem\u003eCustomer \u0026amp; Operational Agents:\u003c\/em\u003e Tone-matched support, policy compliance guards, and escalation triagers\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003ePython Automated Evaluation Engine:\u003c\/strong\u003e\n    \u003cul\u003e\n      \u003cli\u003e\n\u003cem\u003eLLM-as-a-Judge Harness:\u003c\/em\u003e Configurable meta-prompts to score accuracy, reasoning quality, and tone\u003c\/li\u003e\n      \u003cli\u003e\n\u003cem\u003eGroundedness Scorer:\u003c\/em\u003e Quantifies token overlap and factual alignment against provided source documents\u003c\/li\u003e\n      \u003cli\u003e\n\u003cem\u003eHallucination Detector:\u003c\/em\u003e Flags fabricated facts, dead links, and mathematical inconsistencies\u003c\/li\u003e\n      \u003cli\u003e\n\u003cem\u003ePydantic Invoice Schema Validator:\u003c\/em\u003e Rigorous schema guard with mathematical sum verification\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eBenchmark Datasets \u0026amp; Reporting:\u003c\/strong\u003e\n    \u003cul\u003e\n      \u003cli\u003e50 curated test cases with calibrated ground truths (including deliberate failure fixtures to prove the judge is real)\u003c\/li\u003e\n      \u003cli\u003eInteractive CLI benchmark runner with offline mock evaluation support (zero API keys needed for CI)\u003c\/li\u003e\n      \u003cli\u003eBenchmark Excel tracker (.xlsx) with automated average formulas and latency tracking\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAutomated Test Suite:\u003c\/strong\u003e 42 comprehensive unit tests with 100% pass guarantee\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eQuality and Structure\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eStandardized variable slot format (\u003ccode\u003e{{variable}}\u003c\/code\u003e) for seamless programmatic injection\u003c\/li\u003e\n  \u003cli\u003eZero vendor lock-in — engineered to deliver consistent behavior across GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro\u003c\/li\u003e\n  \u003cli\u003eFull commercial reuse rights included with lifetime access to prompt updates\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho this is for\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAI Engineers \u0026amp; Prompt Engineers:\u003c\/strong\u003e Optimizing system prompts and setting up automated evaluation pipelines\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSaaS Product Teams:\u003c\/strong\u003e Preventing LLM output degradation and maintaining quality SLAs\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eEnterprise AI Builders:\u003c\/strong\u003e Enforcing compliance, security guards, and deterministic JSON schemas\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eInstant Access Details\u003c\/h3\u003e\n\u003cp\u003eInstant digital download (ZIP archive, ~48.5 KB). Includes 29 files across system prompt markdown files, Python evaluation scripts, test suites, and benchmark spreadsheets. Delivered immediately upon purchase.\u003c\/p\u003e\n\u003cdiv style=\"background: linear-gradient(135deg, #eff6ff 0%, #f5f3ff 100%); border: 2px solid #818cf8; border-radius: 8px; padding: 1.25rem; margin-top: 1.5rem; margin-bottom: 1.5rem;\"\u003e\n  \u003cp style=\"margin: 0 0 0.5rem 0; font-size: 1rem; font-weight: 700; color: #1e1b4b;\"\u003e💡 Looking for the Complete AI Stack?\u003c\/p\u003e\n  \u003cp style=\"margin: 0 0 0.75rem 0; font-size: 0.9rem; color: #312e81; line-height: 1.4;\"\u003e\n    Get this toolkit plus all 8 other specialized production kits in \u003cstrong\u003e\u003ca href=\"\/products\/the-complete-ai-builder-agency-master-suite\" style=\"color: #4f46e5; text-decoration: underline;\"\u003eThe Complete AI Builder \u0026amp; Agency Master Suite\u003c\/a\u003e\u003c\/strong\u003e. Regular $99.00 — only \u003cstrong\u003e$79.20\u003c\/strong\u003e with launch voucher \u003cstrong\u003eWELCOME20\u003c\/strong\u003e.\n  \u003c\/p\u003e\n  \u003ca href=\"\/products\/the-complete-ai-builder-agency-master-suite\" style=\"display: inline-block; background: #4f46e5; color: #ffffff; padding: 0.5rem 1rem; border-radius: 6px; font-weight: 700; text-decoration: none; font-size: 0.85rem;\"\u003eView Master Suite →\u003c\/a\u003e\n\u003c\/div\u003e\n","brand":"Digital Viking","offers":[{"title":"Default Title","offer_id":44587417665639,"sku":"DV-PROMPT-EVAL-LIBRARY","price":24.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0573\/7588\/3367\/files\/prompt_main_cover.png?v=1788977770","url":"https:\/\/digitalviking.io\/products\/agentic-system-prompt-evaluator-library","provider":"Digital Viking","version":"1.0","type":"link"}