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Beginner — What questions come before architecture?

AI and LLM fundamentals

An asynchronous pipeline turns uploads into validated extracted data and search indexes. It is primarily a workflow with AI stages.

A bounded system gathers external evidence and produces a cited research draft. Its output is decision support, not verified universal truth.

A staff assistant that summarizes interactions and proposes CRM updates or follow-ups. Its tools obey staff role permissions.

Several specialized model-driven components cooperate under a controlled coordinator. Each has a measurable task and narrow context.

A mailbox-aware assistant for triage, search, summaries, and reviewed outgoing messages. Sending is a controlled tool.

Scalability handles growing load. Availability means the system is accessible when needed; reliability means tasks produce correct, durable outcomes despite failures. Latency measures waiting, including queue time and user-visible completion.

A conversational interface over an eligible knowledge corpus. It combines a document pipeline with a request-time answer pipeline.

A claim-preparation assistant inside an authoritative claim workflow. It gathers and drafts information without independently adjudicating claims.

A bounded assistant for knowledge questions, account lookups, clarification, and escalation. It may perform approved low-risk actions.

A permission-aware assistant over many organizational sources and users. It requires identity-linked document access, freshness, and trustworthy source references.

An asynchronous pipeline turns uploads into validated extracted data and search indexes. It is primarily a workflow with AI stages.

A bounded system gathers external evidence and produces a cited research draft. Its output is decision support, not verified universal truth.

What task should succeed, which data is authoritative, who may access it, what errors are costly, how fast it must respond, expected load, and available budget. Then decide whether deterministic code or AI is needed.

A staff assistant that summarizes interactions and proposes CRM updates or follow-ups. Its tools obey staff role permissions.

Several specialized model-driven components cooperate under a controlled coordinator. Each has a measurable task and narrow context.

A mailbox-aware assistant for triage, search, summaries, and reviewed outgoing messages. Sending is a controlled tool.

Scalability handles growing load. Availability means the system is accessible when needed; reliability means tasks produce correct, durable outcomes despite failures. Latency measures waiting, including queue time and user-visible completion.

A conversational interface over an eligible knowledge corpus. It combines a document pipeline with a request-time answer pipeline.

A claim-preparation assistant inside an authoritative claim workflow. It gathers and drafts information without independently adjudicating claims.

A bounded assistant for knowledge questions, account lookups, clarification, and escalation. It may perform approved low-risk actions.

A permission-aware assistant over many organizational sources and users. It requires identity-linked document access, freshness, and trustworthy source references.

Define acceptable alternatives per task: verified templates, search results, paused durable work, or staff escalation. Preserve data/permission/quality contracts and distinguish missing evidence, service failure, and unknown commit outcomes explicitly.

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module