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AI

Adding an AI Assistant Inside Your Product: A Practical Guide

From choosing a model to evaluation and guardrails — what it actually takes to ship an AI feature your users trust.

Orbiht AI LabAug 12, 2026 · 1 min read

On this page

  • Define the job
  • Ground it in your data
  • Evaluate before you ship
  • Add guardrails
  • Design the experience
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An AI assistant is no longer a novelty — users expect one. But shipping a good one takes more than an API key.

Define the job

The best assistants do one job well: answer questions about your docs, draft this kind of email, fill that form. Start narrow.

Ground it in your data

Retrieval-augmented generation (RAG) lets the model answer from your content instead of guessing. Index your docs, retrieve the relevant pieces per question, and cite sources in the answer.

Evaluate before you ship

Write a set of real questions with good answers and run every change against it. If you can't measure it, you can't improve it.

Add guardrails

  • Limit what the assistant can do, and confirm before actions with side effects.
  • Log conversations (with consent) to find gaps.
  • Always give users a way to reach a human.

Design the experience

Streaming responses, suggested prompts and clear "I don't know" answers matter as much as the model you choose.

  • #ai
  • #llm
  • #product
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