liveBook · Manning

Dogfooding

As explained in The Art of AI Product Development

Dogfooding is the practice of building or using a product to address the creators' own needs as an initial form of product validation.

Dogfooding builds an AI product around needs its creators personally experience, creating an authentic starting point for product validation. section 2.1.2

Use dogfooding as an early validation loop:

  • Start with the creator’s genuine need and iterate quickly toward a minimum viable product. section 2.1.2
  • Move from employees to controlled external tests, then measure usage and satisfaction with real users. section 2.1.2
  • Stop relying on dogfooding once personal preferences risk biasing the product away from broader user needs. section 2.1.2

A creator’s content tool

A blogger builds an AI app to automate content generation, uses it as the initial target user, and later works with external users to make it scalable and representative. section 2.1.2

How The Art of AI Product Development covers it

How deep it goes
Defines the practice, explains its speed and alignment benefits, and limits it to initial MVP validation before external testing.
Examples
Uses a blogger’s AI content-generation app as the central example, alongside employee testing and financial-analytics chatbot experiments.
What it assumes
Assumes a creator can identify a personally experienced need; teaches validation progression from employees to external users.
What you can do after
Apply dogfooding to build an initial AI tool, iterate quickly, then test it with external users.
How it connects
Connects product discovery with minimum viable products, user research, controlled experiments, and iterative validation.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.