LEARNING PATH · AI Engineering

Ship an AI Product

For indie hackers and founders shipping AI products solo.

The build → ship → grow arc for a one-person AI startup: the on-site lessons for the engineering, woven together with open-source tools — Inkwell, VolfPack, PromptPlay — for prototyping, finding your first users, and marketing a launch without a team.

  • Go from a prompt to a grounded, agentic AI product
  • Evaluate quality and keep inference cost in check
  • Find your first users and market a launch with open-source tools
  • Ship in public, solo, without a team
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  1. HandbookNext up

    The Prompting Handbook

    Reliable model output is the foundation of any AI product.

  2. OSS Tool↗ OSS tool

    PromptPlay

    See how fast prompt → shipped artifact can be.

  3. AI System Design

    Design a RAG Pipeline

    Ground the product in your own data with retrieval.

  4. ToolTool · optional

    RAG Chunking Playground

    Tune chunking and watch retrieval quality move.

  5. AI System Design

    Design an AI Agent System

    Let the product take actions, not just answer.

  6. ToolTool · optional

    Tool-Schema Designer

    Design the tool interfaces your agent calls.

  7. Handbook

    The Agent Evaluations Handbook

    Measure quality before your users do.

  8. ToolTool · optional

    Context Budget & Cost Planner

    Keep token cost predictable as you scale.

  9. AI System Design

    Design an LLM Inference Server

    Serve it reliably and affordably.

  10. OSS Tool↗ OSS tool

    Inkwell

    Find and reach your first users.

  11. OSS Tool↗ OSS tool

    VolfPack

    Market the launch without a video team.

  12. Handbook

    The Senior AI Engineer Interview Handbook

    Harden the engineering as you grow.

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