AI Tool Recipes
Browse 296+ ready-to-use AI tool recipes. Find the perfect workflow automation template by category, tool, or difficulty level.
GitHub Security Report → Google Sheets Dashboard
Transform GitHub's AI-detected security findings into a comprehensive dashboard in Google Sheets for executive reporting and trend analysis across multiple repositories.
Test AI Chatbot Responses → Document Limitations → Create Training Data
Systematically test AI chatbot vulnerabilities and biases by creating test scenarios, documenting problematic responses, and building training datasets to improve AI safety.
Slack Feature Request → Lovable Prototype → Customer Demo
Turn customer feature requests from Slack into working prototypes using AI coding, then automatically schedule demo calls. Ideal for product teams maintaining close customer relationships.
Build AI Chatbot Training Data from Expert Interviews
Extract structured knowledge from podcast interviews and expert discussions to create high-quality training datasets. Perfect for AI researchers, product teams, and developers building domain-specific AI models.
Customer Requests Multi-Hardware AI → Route to Optimal Chips → Track Performance
Automatically route customer AI inference requests to the best-performing chip architecture based on request type and current load, then track performance metrics for continuous optimization.
Monitor Server Health → Create Alerts → Log Incidents
Continuously monitor server performance and automatically create incident tickets while logging all events for analysis and compliance.
Slack Query → MCP Tool Search → Auto-Response with Results
Convert team Slack questions into automated tool searches using MCP, then post comprehensive answers back to the channel.
GitHub Release → Marketing Content → Social Posts
Transform GitHub releases into marketing announcements by generating blog content and social media posts to promote new features to users.
Generate Code Snippets → Store in Airtable → Auto-Deploy via GitHub
Use AI to generate reusable code components, organize them in a searchable database, and automatically deploy approved snippets to production.
Deploy Models to Trainium → Notify Slack → Update Notion
Automatically deploy machine learning models to AWS Trainium instances, notify your team via Slack, and log deployment details in a Notion database.
Auto-Scale AI Training Jobs with AWS Trainium
Automatically provision and scale AWS Trainium instances for machine learning model training based on job queue size and resource requirements.
Negotiate AI Token Budgets with Finance Teams
Create data-driven proposals for AI token budgets by analyzing development productivity metrics and correlating them with token usage patterns.