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Intro to LLM App Development: Chat, Assistants, Automation

AI Navigate Original / 5/16/2026

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Key Points

LLM app difficulty is designing for uncertain output, not calling the model
Architecture: input → prompt build → model call → post-processing
Decide use, model (cost/latency/terms), and failure behavior first
Don't trust output; validate at boundaries; measure cost/latency early

Intro to LLM App Development

Grasp the basic structure of apps embedding LLMs (chat, assistants, automation). The difficulty isn't "calling the model" but designing on the premise of uncertain output.

Typical Architecture

Input: user input + context (history, data)
Prompt construction: system instruction + context + user input

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Intro to LLM App Development: Chat, Assistants, Automation

Key Points

Intro to LLM App Development

Typical Architecture

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