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AI and LLM fundamentals

A production reference design specifies failed and uncertain outcomes as carefully as successful ones. Evaluation checks behavior before release; observability detects failures in actual runs. Human escalation is an explicit supported outcome.

An insurance assistant helps authenticated customers understand documents, check claim status, prepare submissions, and reach staff. It combines RAG, exact service lookups, and bounded agent behavior. It does not become the authoritative policy or…

Enforce unique operation keys and optimistic draft versions. Keep large original files in protected object storage. Keep model-visible projections small. A document index and conversation cache are rebuildable derived data; claim and approval records need…

Never accept a model's customerId as proof of the current customer. Never let the model supply an unrestricted email URL, SQL query, database filter, or role field.

Apply CSRF protection where cookie-authenticated mutation routes require it, enforce origin/authentication policy, and use appropriate error semantics. A pending task may return 202; a chat sentence claiming success cannot substitute for a claim receipt.

A. “Check claim C42.”

Agentic portion: interpreting wording, gathering missing information, and choosing among bounded read/search actions. Workflow portion: identity, required fields, approvals, transaction order, retries, and durable outcomes. LangGraph can coordinate the…

A practical textbook for building AI applications, agents, and reliable client solutions.

Requirements: Combine policy RAG, claim status, guided intake, document processing, reviewed communication, staff escalation, and multi-tenant operations. Define supported tasks and explicit exclusions.

MongoDB collections can store conversation messages, task/run state, approved preferences, and memory records. A LangGraph checkpointer requires its expected integration contract rather than an arbitrary collection called memory. Business claims remain…

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…

AI and LLM fundamentals

A production reference design specifies failed and uncertain outcomes as carefully as successful ones. Evaluation checks behavior before release; observability detects failures in actual runs. Human escalation is an explicit supported outcome.

An insurance assistant helps authenticated customers understand documents, check claim status, prepare submissions, and reach staff. It combines RAG, exact service lookups, and bounded agent behavior. It does not become the authoritative policy or…

Enforce unique operation keys and optimistic draft versions. Keep large original files in protected object storage. Keep model-visible projections small. A document index and conversation cache are rebuildable derived data; claim and approval records need…

Never accept a model's customerId as proof of the current customer. Never let the model supply an unrestricted email URL, SQL query, database filter, or role field.

Apply CSRF protection where cookie-authenticated mutation routes require it, enforce origin/authentication policy, and use appropriate error semantics. A pending task may return 202; a chat sentence claiming success cannot substitute for a claim receipt.

A. “Check claim C42.”

Agentic portion: interpreting wording, gathering missing information, and choosing among bounded read/search actions. Workflow portion: identity, required fields, approvals, transaction order, retries, and durable outcomes. LangGraph can coordinate the…

Requirements: Combine policy RAG, claim status, guided intake, document processing, reviewed communication, staff escalation, and multi-tenant operations. Define supported tasks and explicit exclusions.

A practical textbook for building AI applications, agents, and reliable client solutions.

MongoDB collections can store conversation messages, task/run state, approved preferences, and memory records. A LangGraph checkpointer requires its expected integration contract rather than an arbitrary collection called memory. Business claims remain…

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…

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module