Catalog
63🕹️ Autonomous Agent Patterns
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool ...
Doc Co-Authoring Workflow
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This ...
Inventory Demand Planning
Codified expertise for demand forecasting, safety stock optimisation, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimising inventory levels.
Semantic Kernel — Grounding
Grounding LLM outputs in factual context and knowledge sources
Practical guide to data-intensive apps with the Realtime API
This cookbook serves as a practical guide to help AI Engineers maximize the effectiveness of OpenAI's Realtime API, specifically when dealing with data-intensive function calls. We'll focus on scenarios common in speech-to-speech agents, where vast amounts of data must be handled smoothly and efficiently.
Realtime Prompting Guide
<img src="../images/realtime_prompting_guide.png" style="width:450px; height:450px;" />
Philosophy with Vector Embeddings, OpenAI and Astra DB
In this quickstart you will learn how to build a "philosophy quote finder & generator" using OpenAI's vector embeddings and DataStax [Astra DB](https://docs.datastax.com/en/astra/home/astra.html) as the vector store for data persistence.
Philosophy with Vector Embeddings, OpenAI and Cassandra / Astra DB
In this quickstart you will learn how to build a "philosophy quote finder & generator" using OpenAI's vector embeddings and [Apache Cassandra®](https://cassandra.apache.org), or equivalently DataStax [Astra DB through CQL](https://docs.datastax.com/en/astra-serverless/docs/vector-search/quickstart.html), as the vector store for data persistence.
Philosophy with Vector Embeddings, OpenAI and Cassandra / Astra DB through CQL
In this quickstart you will learn how to build a "philosophy quote finder & generator" using OpenAI's vector embeddings and [Apache Cassandra®](https://cassandra.apache.org), or equivalently DataStax [Astra DB through CQL](https://docs.datastax.com/en/astra-serverless/docs/vector-search/quickstart.html), as the vector store for data persistence.
Conversation Relevance
This example demonstrates how to use the `conversation-relevance` assertion to evaluate whether chatbot responses remain relevant throughout a conversation.
Churn Prevention Agent
Identifies churn risk signals and creates retention campaigns for at-risk customers
Trend Researcher
Autonomously identifies and analyzes emerging trends to uncover viral content and product opportunities across multiple platforms and markets.