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Lessons12
Long-running workflows persist progress while waiting for jobs, timers, or people. Retries repeat transiently failing work; timeouts cap waits; schedules start work at defined times. Durable waiting should not consume an open request or a sleeping application…
Pinecone, Qdrant, Weaviate, pgvector, MongoDB Vector Search, Elasticsearch, and OpenSearch provide different ways to store and retrieve vector-backed knowledge. Some are dedicated vector services; others extend databases or search engines you may already…
LangGraph represents execution as a graph of steps sharing explicit state. Nodes do work and edges select the next step; the graph can contain both ordinary code and model decisions. It supports applications that need branching, repeated tool use, and…
This is a minimal orchestration demonstration, not an insurance backend. Dependencies are @langchain/langgraph and zod. It uses the documented StateSchema style; older tutorials may use Annotation.Root. Select compatible package versions before adopting…
The OpenAI Agents SDK provides agent-oriented building blocks for model calls, tools, handoffs, and run management. It offers a higher-level agent interface than manually processing each API response. SDK features and provider integration details depend on…
Semantic Kernel is a Microsoft ecosystem for integrating models, plugins/functions, and agent capabilities into applications. AutoGen is known for multi-agent conversation and orchestration abstractions. Their historical APIs remain relevant in existing…
Requirements: Read claim status, lookup policy, retrieve instructions, ask for missing IDs, and escalate. Start read-only.
A practical textbook for building AI applications, agents, and reliable client solutions.
Priority key
AI and LLM fundamentals
Prompt engineering is writing clear task instructions, inputs, constraints, and output expectations. Zero-shot prompting gives instructions without examples; few-shot prompting adds a small number of input/output examples. A prompt is part of the application…
Providers supply hosted model inference and related capabilities. OpenAI, Anthropic, and Google offer their own model ecosystems; Azure OpenAI provides access to supported OpenAI models within Azure's service and identity environment. Common concepts…
Interview questions12
Long-running workflows persist progress while waiting for jobs, timers, or people. Retries repeat transiently failing work; timeouts cap waits; schedules start work at defined times. Durable waiting should not consume an open request or a sleeping application…
Pinecone, Qdrant, Weaviate, pgvector, MongoDB Vector Search, Elasticsearch, and OpenSearch provide different ways to store and retrieve vector-backed knowledge. Some are dedicated vector services; others extend databases or search engines you may already…
A practical textbook for building AI applications, agents, and reliable client solutions.
Priority key
AI and LLM fundamentals
LangGraph represents execution as a graph of steps sharing explicit state. Nodes do work and edges select the next step; the graph can contain both ordinary code and model decisions. It supports applications that need branching, repeated tool use, and…
This is a minimal orchestration demonstration, not an insurance backend. Dependencies are @langchain/langgraph and zod. It uses the documented StateSchema style; older tutorials may use Annotation.Root. Select compatible package versions before adopting…
The OpenAI Agents SDK provides agent-oriented building blocks for model calls, tools, handoffs, and run management. It offers a higher-level agent interface than manually processing each API response. SDK features and provider integration details depend on…
Semantic Kernel is a Microsoft ecosystem for integrating models, plugins/functions, and agent capabilities into applications. AutoGen is known for multi-agent conversation and orchestration abstractions. Their historical APIs remain relevant in existing…
Requirements: Read claim status, lookup policy, retrieve instructions, ask for missing IDs, and escalate. Start read-only.
I compare ecosystem/language fit, state contracts, review/resume behavior, persistence guarantees, observability, and hosting. LangGraph starts from explicit state-graph orchestration; MAF provides agent and workflow abstractions in its ecosystem. The…
Prompt engineering is writing clear task instructions, inputs, constraints, and output expectations. Zero-shot prompting gives instructions without examples; few-shot prompting adds a small number of input/output examples. A prompt is part of the application…
Modules7
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module