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Prompt management docs

Prompt Management for teams

Build once, deploy everywhere. Version-controlled prompts with variables, structured outputs, and model-agnostic deployment.

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app.aisle.sh

Customer Feedback Analyzer

v12 · Last edited 2 hours ago

System Message
You are a customer feedback analyst. Analyze the provided feedback data and extract actionable insights. Always structure your response with: - Themes with frequency percentages - Overall sentiment breakdown - Recommended next actions
User Message
Analyze the following customer feedback and identify the top themes. Focus on churn risk signals and areas requiring immediate attention. Feedback to analyze: {{feedback_data}}
Recent Activity
Chat[email protected]2 min ago
APIsystem14 min ago
Workflowfeedback-pipeline1 hr ago
MODEL
Claude Sonnet 4.5
CONNECTED TOOLS
Slack
Jira
Add connector
DEPLOY
ChatLive
Workflows3 active
APIEndpoint active
Structured Output
MODEL SETTINGS
Max Tokens20000
Temperature0.4
Thinking

Works with every model

  • Anthropic
  • OpenAI
  • Gemini
  • xAI
  • OpenRouter
  • Amazon
  • Perplexity
  • MoonshotAI
  • Meta
  • Qwen
  • DeepSeek

Everything you need to manage prompts at scale

Version control for every prompt

Every edit creates a new version. Diff any two versions side-by-side, see who changed what, and roll back with one click. Prompt changes stop being untracked edits in chat threads.

Model-agnostic deployment

Switch from GPT-4 to Claude to Gemini with a dropdown. Your prompt, variables, and output schema work across any provider. No vendor lock-in, no rebuilding.

Variables and structured outputs

Define input variables once, enforce JSON output schemas, and use the same prompt across every deployment context. Get predictable, schema-validated responses instead of parsing unstructured text.

Deploy to chat, API, or workflow

One prompt serves your team in chat, your application via API, and your automations in workflows. Change the prompt once and every deployment gets the update.

Team sharing and permissions

Control who can edit, run, or view each prompt. Build a shared library that your whole team discovers and uses. Stop being the single point of failure for your team's AI tools.

Three steps to production prompts

Build your prompt

Define variables, write instructions, choose a model, and set output schemas. Everything lives in one place.

Test and iterate

Use Playgrounds to compare the same prompt across multiple models simultaneously. Find the best fit before you ship.

Deploy and share

One click to deploy to chat, API, or a scheduled workflow. Share with your team and set permissions.

Read the docs

Works with the tools you already use

Connect prompts to Slack, Google Drive, GitHub, and dozens more. Pull data in, push results out, and let AI coordinate across your stack.

SlackGitHubJiraGoogle DriveGmailOutlook MailPostgreSQLAWS BedrockAzure SQLAsanaAirtableGongPipedriveAffinitySlackGitHubJiraGoogle DriveGmailOutlook MailPostgreSQLAWS BedrockAzure SQLAsanaAirtableGongPipedriveAffinity
MixpanelSupabaseFireflies.aiFathomAhrefsSemgrepSERP APIGoogle MapsRedditX (Twitter)xAI Grok SearchCoinGeckoDeepWikiSupadataMixpanelSupabaseFireflies.aiFathomAhrefsSemgrepSERP APIGoogle MapsRedditX (Twitter)xAI Grok SearchCoinGeckoDeepWikiSupadata

Stop managing prompts in spreadsheets and chat threads.

Version control, team sharing, and multi-model deployment from one platform.

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