# Building an AI-native product

Six considerations for founders building on a language model: risk process, attacks, authority, evaluation and law, and what each asks of the design.

Canonical URL: https://worldenterprise.org/briefs/ai-native-build/
Last updated: 2026-10-10
Publisher: World Enterprise, run by World Enterprise Group Incorporated

A founder who builds on a language model inherits questions that conventional software rarely raises: output that varies, instructions that can arrive from outside, actions taken wrongly and quality that ordinary tests do not settle.

This brief treats security, quality and law as one design problem. It asks of each decision what the model may do, who decides and how anyone would know it had gone wrong.

It reports what the National Institute of Standards and Technology, OWASP, the European Commission and two model vendors publish on six considerations, and it labels its own analysis as analysis.

One idea recurs. The model proposes and the surrounding code decides, because the sources describe no way to make a model immune to hostile text.

The brief names no preferred model, vendor or architecture, and it cannot say how any rule applies to your product.

It is general information for founders. It is not legal, tax or investment advice.

## What is inside

- The question this brief answers
- About the evidence
- How to read the considerations
- Consideration one: what the product asks of the model
- Consideration two: managing the risk as a process
- Consideration three: how a model application is attacked
- Consideration four: how much the model may do
- Consideration five: knowing whether it works
- Consideration six: the law that may reach the product
- The considerations side by side
- Questions to ask before building
- What this brief cannot tell you
- Sources