Production AI Agent System Prompts for Objective Judgment

Deploy 60 production-tested system prompts for Claude agents handling code review, research, and sales decisions. Reduce hallucinations and bias in AI syst

AI startup founders and internal tool builders waste weeks tuning system prompts for agents that need to make judgment calls without bias, favoritism, or hallucination. Existing templates are generic and incomplete—they skip the cache-aware structures, constraint tuning, and role-specific edge cases that separate working agents from broken ones. This pack ships 60 production-tested system prompts (12 prompts per role × 5 specialist variants) designed for agents serving objective-judgment tasks: code review (sycophancy-blocking), market research (fact-grounded), customer support (empathy + firmness), PM analysis (explicit trade-offs), and sales strategy (neutral objection handling). Each prompt includes caching hints for cost optimization, behavioral constraints tied to specific failure modes, output format templates, edge case handlers, and copy-paste API integration code. Delivered as .txt files (one per variant, one per section) + JSON variants for Claude API system_message imports. No training required—each prompt is immediately deployable.

Who this is for

Pre-Series A and Series A/B founders deploying internal AI agents for objective judgment and who lose sleep over agent hallucinations or bias in production.

Who this is NOT for

Not for generic chatbot personas, marketing copy templates, or content creation. Not for teams that need custom-trained models or live data integrations. Not a replacement for domain expertise—assumes you know what good code/research/support looks like.

55 copy-paste prompts across 5 variants.

How to Use: System Prompt Pack: AI Agent Personas for Objective Judgment

> Your first useful result in under 5 minutes. This guide shows you exactly what you got, how the prompts work, and how to run them in ChatGPT or Claude.

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What's in This Bundle

| File | What It Is | When to Use It | |---|---|---| | all-prompts.md | Every prompt in one readable document | Browse, search, or print — start here | | code-review-agent-sycophancy-blocking.json | Code Review Agent (Sycophancy-Blocking) (11 prompts) | Variant-specific prompt set; use for that exact context | | market-research-agent-fact-prioritized.json | Market Research Agent (Fact-Prioritized) (11 prompts) | Variant-specific prompt set; use for that exact context | | customer-support-triage-agent-empathy-firmness.json | Customer Support Triage Agent (Empathy + Firmness) (11 prompts) | Variant-specific prompt set; use for that exact context | | pm-analysis-agent-trade-off-reasoning.json | PM Analysis Agent (Trade-Off Reasoning) (11 prompts) | Variant-specific prompt set; use for that exact context | | sales-strategist-agent-objection-handling.json | Sales Strategist Agent (Objection Handling) (11 prompts) | Variant-specific prompt set; use for that exact context | | cover.png | Product thumbnail | Ignore this one — it's for the store listing |

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Quick Start (3 Steps)

Step 1 — Open all-prompts.md

Open this file in any text editor, Notion, Obsidian, or even a browser. It's plain text — no special software needed.

Scan the section headings to find the category that matches your situation right now.

> Tip: Use Ctrl+F (or Cmd+F on Mac) to search for a keyword to jump straight to relevant prompts.

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Step 2 — Pick a Prompt and Fill in the Variables

Every prompt contains one or more {{VARIABLE}} placeholders — these are instructions to you, not to the AI.

Replace each {{VARIABLE}} with your real information before pasting.

Example — before: ``` Analyze the following system: {{ARCHITECTUREDESCRIPTION}} within {{BUSINESSCONTEXT}}. ```

Example — after (paste this to the AI): ``` Analyze the following system: We have a REST API on Node/Express serving a web dashboard and a mobile app. We return 80+ fields per product even though mobile only uses 6. Within the context of a Series A SaaS with 12 enterprise customers, $180k ARR. ```

How detailed should my variables be? 2–5 sentences or a short bullet list is enough Real and specific beats long and vague A rough draft is better than waiting for perfect

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Step 3 — Paste into ChatGPT or Claude and Run

Recommended AI tools (in order of quality for these prompts): Claude Sonnet / Claude Opus (claude.ai) — best analytical depth ChatGPT GPT-4o (chat.openai.com) — great alternative ChatGPT GPT-4o mini — works for quick exploration; less depth

Free tier works. Paid tier gives better and longer responses.

Paste the entire filled-in prompt — do not summarize or shorten it. After the first response, follow up with questions like: "Focus on point 3 — give me a concrete example" "Rewrite this as a one-page memo for a non-technical stakeholder"

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Common Questions

Q: Do I need to use every prompt? No. Think of this pack like a reference manual — use what fits your situation. Most buyers find 3–5 prompts they return to repeatedly.

Q: The AI gave me a vague answer. What do I do? Add more specifics to your variable text. One extra paragraph of context typically produces a dramatically better result.

Q: Can I share these prompts with my team? Your license covers personal and internal team use within one organization. You may not resell or republish the prompts publicly.

Q: Can I use these in other AI tools (Gemini, Perplexity, Copilot)? Yes. The prompts are plain text and work in any LLM chat interface.

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One-Line Cheat Sheet

> Open all-prompts.md → find a prompt → replace {{VARIABLE}} with your real situation → paste into Claude or ChatGPT → follow up.

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Questions? Email: shaattrading@gmail.com