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Web Chat Interfaces

The simplest way to deploy a security prompt is to paste it directly into the system prompt or custom instructions of a frontier model's web interface. This gives you immediate security guidance with zero infrastructure.

ChatGPT (OpenAI)

ChatGPT supports persistent custom instructions through Projects, which apply a system prompt to every conversation within that project.

Setup with Projects

  1. Open chatgpt.com and click Projects in the left sidebar
  2. Create a new project (e.g., "Secure Node.js Development")
  3. Click the project settings gear icon
  4. Paste the full Manicode security prompt into the Instructions field
  5. Every conversation within this project will now enforce the security prompt

Tips

  • Create one project per framework or language (e.g., "Secure Python", "Secure Go")
  • The instructions field supports long prompts — paste the entire prompt without truncating
  • You can combine a code security prompt with a validation prompt if you need both secure code generation and output guardrails
  • Project instructions persist across sessions and apply to all conversations in that project

Claude (Anthropic)

Claude supports persistent system prompts through Projects on claude.ai.

Setup with Projects

  1. Open claude.ai and navigate to Projects
  2. Create a new project (e.g., "Secure Java Development")
  3. Open the project and click Set project instructions
  4. Paste the full Manicode security prompt into the instructions field
  5. All conversations within this project will use the security prompt as context

Tips

  • Claude's Projects also support uploading files as project knowledge — you can upload the prompt as a .md file alongside relevant code files for additional context
  • Claude has a large context window, so even the longest security prompts will not crowd out your working context
  • You can share projects with team members so everyone uses the same security baseline

Google AI Studio / Gemini

Google AI Studio provides a System Instructions field that accepts persistent prompts.

Setup

  1. Open aistudio.google.com
  2. Click Create new prompt
  3. Expand the System Instructions section at the top
  4. Paste the full Manicode security prompt
  5. All interactions in this prompt session will enforce the security rules

Tips

  • Save your configured prompt as a template for reuse
  • Google AI Studio supports structured output — pair the security prompt with specific output formatting instructions if needed
  • For Gemini in Google Workspace, system prompt configuration varies by integration; check your admin console for custom instruction settings

Other Web Interfaces

Most frontier model web interfaces follow the same pattern. Look for one of these settings:

InterfaceWhere to paste the prompt
PerplexitySettings → AI Profile → Custom Instructions
Mistral Le ChatSystem prompt field in the conversation settings
Cohere CoralSystem preamble in the playground
HuggingChatCustom system prompt in assistant settings
OpenRouter ChatSystem prompt field in the chat playground

General Pattern

  1. Look for a System Prompt, Custom Instructions, or Project Instructions setting
  2. Paste the entire Manicode security prompt
  3. Save or apply the configuration
  4. All subsequent messages will be processed with the security context

Limitations of Web Chat Deployment

Web chat deployment is the easiest method but has trade-offs:

  • Manual updates — When Manicode publishes a new prompt version, you must manually replace the prompt text
  • No version tracking — There is no built-in way to know which prompt version is active
  • Per-user configuration — Each team member must configure their own interface
  • No audit trail — You cannot verify that prompts are being used consistently

For teams that need automated updates, version tracking, or centralized management, see API and Programmatic Usage or the Prompt Delivery documentation.