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AI Agent System Prompt
Build a system prompt for an autonomous, tool-using AI agent — plan before acting, one tool at a time, act on real results, stop before irreversible steps.
Prompt Builders
System Prompt Generator
Configure role, behavior rules, and output structure for your AI system. Generates a structured system prompt ready to paste into any AI model.
Model-agnostic structure that works across any instruction-following model.
Behaviors the AI must consistently follow. One rule per line.
Hard limits and out-of-scope behaviors. One rule per line.
When the AI should express uncertainty or defer to a human.
Show the AI what good input and expected output look like.
Response Style
Word limit adds an instruction for future AI replies — it does not shorten this generated prompt. Choose a value between 50 and 5000 words.
Generated Prompt
Try with:
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Bug Triage Assistant
Convert scattered bug notes, Slack messages, or user complaints into structured engineering tasks with reproduction steps, severity, and root cause hypothesis.
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Code Review Assistant
Turn AI into a structured pull request reviewer that catches risky changes, flags maintainability issues, and suggests missing test coverage.
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Customer Support Agent
Configure AI to answer support questions within your actual policy boundaries — not generic best-guess answers.
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Escalation Response Assistant
Structure the escalation decision for a high-risk support situation — consistent criteria, clear rationale, and a ready brief for the team taking over.
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Internal Knowledge Base Assistant
Answer questions using your KB content directly — citing the source, staying within documented scope, and refusing to fill gaps with guesses.
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Meeting Notes Structurer
Extract decisions, action items, and open questions from raw meeting notes — the three things that need to survive the meeting.
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Product Requirements Assistant
Turn a rough feature idea into a structured requirement: problem statement, acceptance criteria, and what's explicitly out of scope.
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Research Synthesis Assistant
Extract and compare findings from multiple sources without collapsing them into a single blended perspective.
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SEO Content Brief Assistant
Build a structured content brief from a keyword or topic before drafting — so writers start with intent, not assumptions.
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Technical Summary Assistant
Compress long technical content into summaries calibrated to a specific audience and purpose — not a generic restatement.
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Test Case Generator
Generate edge-case-focused test scenarios for any function, feature, or API endpoint — covering boundary values, failure modes, and regression risks.
Workflow
AI System Prompt Design Workflow
Design a system prompt that holds up in production — define the role precisely, engineer the behavior and guardrails on top of it, then check it reads clearly before you ship.
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AI Agent Instruction Workflow
Instruct an AI agent that runs on its own without it wandering off — anchor it to a role, write the agent system prompt, then lay out the multi-step plan it works through.
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AI Research Synthesis Workflow
Pull a single coherent view out of a stack of sources — package them together, summarize each faithfully, then have AI synthesize across them instead of one at a time.
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AI Product Requirements Workflow
Turn a fuzzy business need into requirements a team can build from — interrogate the need into concrete requirements, shape them as user stories, and write the PRD.
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AI Customer Support Workflow
Run inbound support the same way every time — triage and route the ticket, pull the details that matter, draft a reply in a consistent voice, and log the resolution for the record.
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Build a SaaS MVP with AI
The full path from idea to a shipped SaaS MVP — define and scope the requirements, design the architecture, API, and data model, then build it reviewed, tested, secured, cost-controlled, and deployed.
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Build an AI Support Agent with AI
The full path to a support agent you can put in front of customers — write its instructions, ground it in your docs, route and handle tickets, then evaluate and cost-control it before it goes live.
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Build an AI Document Processing System with AI
The full path to an AI document processing system — define the use case, design the intake pipeline, extract fields from unstructured documents, classify and route them, pin the output contract, evaluate accuracy, then ship it monitored.
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Build an AI Content Moderation System with AI
The full path to an AI content moderation system — define the policy and label taxonomy, extract signals from user content, classify it against policy, emit structured decisions, evaluate false positives and negatives, wire enforcement and review queues, review abuse risks, then ship.
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Build an AI Research Assistant with AI
The full path to an AI research assistant — define its scope, organize the source corpus, ground responses in references, extract key facts, synthesize findings, check groundedness, then validate it for use.
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Build an AI Meeting Assistant with AI
The full path to an AI meeting assistant — define the use case, turn transcripts into structured notes, extract decisions and action items, classify follow-ups, write a shareable summary, evaluate accuracy, then ready it for the team.
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Build an API Backend with AI
The full path to a backend you can put clients on — define the requirements, design the architecture, API contract, data model, and access control, then build it reviewed, tested, secured, and shipped.
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Build a Customer Support System with AI
The full path to a support operation, not just a bot — stand up the knowledge base, route the tickets, add the AI agent, integrate your stack, close the feedback loop, evaluate, and deploy.
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Build an Applicant Tracking System with AI
The full path to an applicant tracking system — model jobs, candidates, and hiring stages, generate job descriptions and screening prompts, parse résumés into structured data, design the hiring API, set roles, review security, then ship.
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Build a Booking System with AI
The full path to a booking and reservation system — model resources, availability, and reservations, design the booking API, set customer accounts, wire calendar and notification integrations, design the UI, review security, then ship.
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Build an Inventory Management System with AI
The full path to an inventory management system — model products, stock, locations, and movements, design the inventory API, set roles, plan supplier and POS integrations, design the UI, review data-integrity risks, then ship.
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Build an Internal Admin Panel with AI
The full path to an internal admin panel — model the operational data it manages, design the management API, define RBAC and admin permissions, design the tables and forms, review risky admin actions, then ship to trusted internal users.
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Build a Marketplace with AI
The full path to a two-sided platform — define the buyer-and-seller requirements, model the data, design the API, build roles and permissions, wire integrations, design the UI, then test, secure, and ship it.
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Build a CRM with AI
The full path to a CRM that fits your sales process — define the contacts, deals, and pipeline, model the data that ties them together, then build the roles, integrations, and pipeline UI, and ship.
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Build an E-commerce Store with AI
The full path to a store you own end to end — model the catalog and orders, design the storefront and checkout, add customer accounts and payments, then secure it, test it, and ship.
How it works
Fill in the role and objective, describe the operational context, and choose tone and output format. The Advanced section lets you specify must-do rules, hard restrictions, escalation handling, and example inputs/outputs. Click Generate Prompt to produce a structured system prompt from your inputs.
Best for
- Setting an AI assistant or agent's standing behavior — role, tone, rules, and output format in one system prompt
- Locking in consistent behavior across a whole conversation, not just a single reply
- Targeting a specific model (GPT, Claude, or Gemini) with the right structure
Not for
- A one-off task prompt you will only send once — a plain prompt is faster
- Turning a finished prompt into a reusable {{variable}} template — that is the Prompt Template Builder
Use cases
- Configuring consistent AI behavior for engineering review workflows
- Building support agent prompts that stay within documented policy boundaries
- Defining research synthesis instructions that preserve source attribution
- Generating starting-point prompts for internal tools, prototypes, or team use
Pro tips
- Role and Objective work together — the role defines what the AI is, the objective defines what it's trying to accomplish in this specific context.
- The Must Not Do section is often more valuable than Must Do. Explicit restrictions prevent the AI from improvising in ways you haven't anticipated.
- Use the Example Inputs/Outputs field to anchor abstract instructions. A concrete example does more to shape output quality than three extra rules.
- For Claude, the XML Tags format reduces hallucination on structured tasks. For ChatGPT, Markdown Sections tends to produce clean output.
FAQ
Does this tool run the prompt, or just build it?
Just build it. The generator assembles a structured system prompt from your inputs — deterministically, with no AI guessing — then you paste it into ChatGPT, Claude, Gemini, or whatever model you use. It's the setup step before the AI does the work.
What is the difference between Must Do and Rules?
They're the same thing — Must Do instructions become the Rules section in your generated prompt. The field name describes the intent: behaviors your AI system must consistently follow.
Which models work with the generated prompts?
The Target Model selector formats output for Claude, ChatGPT/OpenAI, Gemini, or a generic format that works with any standard instruction-following model. The content is model-agnostic — the format differs slightly.
Can I edit the generated prompt after it's produced?
Yes. The output area is fully editable. Adjust the generated prompt directly before copying or downloading.
What does the token estimate mean?
The token count is an approximation using a 1 token ≈ 4 characters heuristic. Actual counts vary by model and tokenizer — treat it as a rough guide, not a precise measurement.
What does Prompt Depth mean?
Depth is a heuristic that reflects how many sections of the form are filled. Basic means only role is defined. Solid means role, context, and some rules. Detailed means role, context, rules, restrictions, and additional guidance are all populated.