AI Tool Recipes
Browse 967+ ready-to-use AI tool recipes. Find the perfect workflow automation template by category, tool, or difficulty level.
Monitor AI Funding News → Summarize with Claude → Alert Team via Slack
Automatically track AI industry funding announcements, create executive summaries, and notify your team of relevant opportunities or competitive threats.
Survey Customer AI Preferences → Analyze with GPT → Generate Product Roadmap
Collect customer feedback on AI features and automatically generate data-driven product roadmap recommendations for your development team.
Monitor AI Startup News → Extract Insights → Update Investment Pipeline
Automatically track AI startup funding announcements and competitive intelligence to keep your investment or business development pipeline current.
Crowdsource AI Model Feedback → Aggregate in Airtable → Auto-Report to Slack
Collect distributed feedback on AI model outputs from team members and automatically compile insights into actionable reports for product teams.
News Monitoring → AI Analysis → Competitive Intelligence Reports
Track AI tool updates and leaks across news sources, analyze competitive implications with AI, and generate weekly intelligence reports. Essential for product managers and tech strategists.
AI Photo Cleanup → Product Catalog → E-commerce Sync
Clean up product photos with AI editing, organize them into a searchable catalog, and automatically sync to your online store. Ideal for e-commerce businesses and product managers.
Alexa Voice Orders → Expense Categorization → Reimbursement Requests
Convert voice food orders into properly categorized business expenses and automatically generate reimbursement requests for remote workers and business meals.
Voice Order Tracking → Slack Team Updates → Inventory Alerts
Automatically track office food orders placed via Alexa, notify team members in Slack when orders arrive, and trigger inventory reorders when supplies run low.
Fine-tune GPT-4 → Deploy Custom API → Monitor Performance
Create a domain-specialized AI model by fine-tuning GPT-4 on your company data, deploying it as a custom API, and monitoring its performance metrics.
Multi-AI Model A/B Testing → Performance Analytics
Run systematic A/B tests comparing different AI models on real user tasks and automatically analyze which performs better for specific use cases.
LLM Output Quality Assessment → Notion Dashboard
Systematically evaluate and track the quality of LLM outputs across different use cases using human evaluation criteria stored in a centralized dashboard.
AI Model Performance Testing → Automated Benchmark Reports
Automatically test multiple AI models against custom benchmarks and generate comprehensive performance reports with visualizations for technical teams.