01
Human intent
The Operator defines the objective, steers meaning and decides which consequential transitions are authorized and accepted.
SOFTWARE ENGINEERING · 01
Greenfield Application Development
AI-assisted construction. Human authority. Durable software.
Build new applications through a governed relationship between Human intent, AI reasoning and Machine execution. The work accumulates as durable Ground instead of disappearing with the AI conversation.
01 · START FROM GROUND
Build from what is established, not from what an AI session happens to remember.
02
Machine reality
Source, files, repositories, tests, runtime behavior and other Machine facts remain inspectable Ground for the work.
03
Durable Evidence
Important transitions return Machine Evidence that survives the reasoning session and can support later evaluation.
02 · HUMAN · AI · MACHINE
Different capabilities. Different authority.
Greenfield development becomes easier to govern when reasoning, execution and authority are kept distinct.
H
Human Operator
Owns intent, semantic authority, authorization and acceptance. The Human decides what the software is for and when demonstrated work may become consequential Ground.
AI
External AI
Reasons with the Human, translates objectives into bounded Machine work, interprets Evidence and designs repair-forward increments. It does not authorize itself.
M
Machine
Establishes facts, performs bounded work, runs deterministic checks and returns Evidence. It does not decide the meaning of the objective or accept its own result.
03 · CONSTRUCTION
Substantial increments. Repair forward.
Development proceeds from the actual Machine state. Working results stay in place while failed or incomplete parts are repaired from the exact observed boundary.
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01
Establish the Objective
Define the intended successor capability and the boundaries that matter.
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02
Construct substantially
Let the Machine create a coherent increment large enough to establish meaningful software capability.
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03
Test and repair forward
Preserve demonstrated work. Repair failures from Evidence rather than rebuilding successful Ground.
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04
Freeze and rehearse
Freeze an exact CandidateRevision and rehearse that complete prospective state end to end.
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05
Authorize the demonstrated transition
Human Authorization permits the exact GREEN transition to cross from prospective work into consequential Machine Ground.
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06
Evaluate and accept
Machine Evidence supports Evaluation. Human Acceptance decides whether the demonstrated result becomes accepted Source.
04 · CONTINUITY
The AI session can end. The engineering Ground remains.
Durable workspace continuity
Objectives, Construction, Candidate states, rehearsals, Evidence and accepted Source provide a durable development trajectory that does not depend on one model retaining the entire history in its context window.
Bounded AI context
The Machine can establish deterministic facts and return bounded Evidence. AI reasoning can therefore focus on uncertainty, interpretation and design instead of repeatedly ingesting the complete raw working estate.
05 · ENGINEERING PRINCIPLE
Use rented probabilistic intelligence to manufacture owned deterministic intelligence.
06 · CUSTOMER CONTROL
Keep the software and its Ground under customer control.
Greenfield Application Development is designed around software that can live with the customer rather than requiring the customer's operational Ground to become a radius19-hosted SaaS dependency.
Local or private deployment
The architecture can support customer-controlled local, on-premise, private or distributed environments according to the application.
AI provider choice
AI is an external reasoning capability, not the permanent owner of the application Ground. Provider choice can therefore remain a separate architectural decision.
Source stays meaningful
The product is not merely generated output. Accepted Source remains an explicit governed state from which later Objectives can continue.
07 · PRODUCT BOUNDARY
A governed engineering product.
It is
- software for Human-governed AI-mediated engineering;
- a durable control plane for Machine work;
- a way to construct and prove successor software states;
- a customer-controlled software architecture.
It does not require
- autonomous AI authority;
- a mandatory radius19-hosted SaaS runtime;
- one permanent AI model provider;
- discarding successful work when one Machine step fails.
08 · SOFTWARE LICENSE
Build the application. Keep control of the Ground.
Greenfield Application Development is offered as software under a direct licensing and delivery relationship. Product requirements and deployment context are established before delivery.