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AI · 12 min read · Unpublished draft

Integrating AI into enterprise software: from prototype to production

The engineering work between an impressive LLM demo and a reliable feature your business can depend on.

Draft outline

This article hasn't been written yet. Below is the planned outline. Edit it in src/data/insights.ts, then set its status to published.

Planned outline

  1. 01

    Start with a workflow, not a model

    • Defining the job to be done
    • Choosing what to measure

  2. 02

    Grounding answers in your data

    • Retrieval-augmented generation basics
    • Chunking and indexing strategies
    • Access control in retrieval

  3. 03

    Evaluation and guardrails

    • Building an evaluation set
    • Human review loops
    • Handling failure gracefully

  4. 04

    Running it in production

    • Cost monitoring
    • Logging and auditability
    • Model and prompt versioning
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