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AI and LLM fundamentals

Build in this order. Each project extends a capability, not necessarily a separate repository. These are future learning projects; the notes remain in this one file. Move forward when you can explain the trade-offs and demonstrate the acceptance criteria,…

Requirements: Convert the assistant into an explicit state graph, add durable progress, clarification/approval pauses, and safe resume.

Requirements: Show progress/text incrementally, allow cancellation, and distinguish completion from stream failure. Preserve final message state.

Requirements: Add specialists only for measurable policy/claim/document tasks, with clear coordinator ownership and escalation.

Requirements: Upload approved PDFs, track ingestion, ask questions, return source references, and abstain when evidence is missing.

Requirements: Multi-tenant retrieval, incremental updates/deletions, policy versions, hybrid search, evaluated reranking, and source-aware caching.

Requirements: Expose reviewed customer lookup, order/policy lookup, ticket creation, and knowledge search to an approved host.

Requirements: Interpret input, prepare a draft, validate required fields, wait for review, execute once, and notify reliably.

Requirements: Read claim status, lookup policy, retrieve instructions, ask for missing IDs, and escalate. Start read-only.

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

Build in this order. Each project extends a capability, not necessarily a separate repository. These are future learning projects; the notes remain in this one file. Move forward when you can explain the trade-offs and demonstrate the acceptance criteria,…

AI and LLM fundamentals

Requirements: Show progress/text incrementally, allow cancellation, and distinguish completion from stream failure. Preserve final message state.

Requirements: Convert the assistant into an explicit state graph, add durable progress, clarification/approval pauses, and safe resume.

Requirements: Add specialists only for measurable policy/claim/document tasks, with clear coordinator ownership and escalation.

Requirements: Upload approved PDFs, track ingestion, ask questions, return source references, and abstain when evidence is missing.

Requirements: Multi-tenant retrieval, incremental updates/deletions, policy versions, hybrid search, evaluated reranking, and source-aware caching.

Requirements: Expose reviewed customer lookup, order/policy lookup, ticket creation, and knowledge search to an approved host.

Requirements: Interpret input, prepare a draft, validate required fields, wait for review, execute once, and notify reliably.

Requirements: Read claim status, lookup policy, retrieve instructions, ask for missing IDs, and escalate. Start read-only.

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

AI Engineering learning module

AI Engineering learning module