AI-Native Development in Days

RACE Mode is our fastest way to validate business ideas and AI products without creating technical debt or throwaway prototypes. This isn’t an offer for more experiments or code volume. It’s a production-ready initial system, built to evolve.

Trusted AI & Cloud Ecosystem

Anthropic
Claude
OpenAI
Azure AI Studio
AWS
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Anthropic
Claude
OpenAI
Azure AI Studio
AWS
Google Cloud
Anthropic
Claude
OpenAI
Azure AI Studio
AWS
Google Cloud
Anthropic
Claude
OpenAI
Azure AI Studio
AWS
Google Cloud
Anthropic
Claude
OpenAI
Azure AI Studio
AWS
Google Cloud
Anthropic
Claude
OpenAI
Azure AI Studio
AWS
Google Cloud
Anthropic
Claude
OpenAI
Azure AI Studio
AWS
Google Cloud
Anthropic
Claude
OpenAI
Azure AI Studio
AWS
Google Cloud

How RACE is delivered

The RACE team operates as a high-velocity unit where the AI Principal Engineer is the primary engine of AI-native development and delivery. This two-phased approach is how we ensure alignment:

01
Strategic Scoping:

The AI Principal Engineer collaborates with a Subject Matter Expert (SME) or Business Analyst to create an informed technical roadmap.

02
AI-Native Development:

Once intent is locked, the AI Principal Engineer operates solo to orchestrate the digital workforce as they build, test, and iterate the plans defined in the scoping phase.

Who Executes RACE

AI-Native Mini-Pod

AI-Native Principal Engineer 

Architecture, technical strategy, system quality
Defines the architectural baseline and reviews all AI-generated output.

AI-Native Digital Workforce 

 A coordinated set of AI agents responsible for executing:

  • Application code
  • Automated testing (AI-generated TDD)
  • DevOps & infrastructure setup
  • Technical documentation

 

The digital workforce acts as the construction crew, not copilots.

What you get

Production-ready system
(not a prototype)

Mature architecture from Day 1

High test coverage by default

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Typical RACE deliverables

Working initial system
Executable specifications (living documentation)
AI-generated tests (TDD) with high coverage
Infrastructure & DevOps baseline
Documentation always in sync with code

When RACE is the right move

Best when speed of validation matters more than scale.

RACE is a strong fit if you need to:

Validate a new product or AI initiative

Test a business hypothesis with real users

Build an initial system that won’t need to be rewritten

Align business and technical stakeholders around a tangible system

How RACE builds fast without technical debt

01
Define intent (executable specs)

We describe business logic, flows and constraints as living, executable specifications
(spec-driven development), not documentation written “for later.”

02
Set architecture & quality bar

A Principal Engineer defines the technical strategy
and ensures production-grade architectural decisions from day one.

03
AI workforce executes

Specialized AI agents generate code, tests, DevOps and documentation
directly from intent. When intent changes, specs change — and the system is adapted accordingly.

Quality is automatic

RACE does not trade speed for quality.

Spec-Driven Development
Executable specs as the single source of truth

AI-generated TDD
Tests created before or alongside code

High coverage, including edge cases
Quality enforced by design, not heroics

Industry workflows RACE can validate in days

Real Estate — workflow automation & decision support
  • Intake → qualification → routing (leads, inquiries, requests)
  • Document processing for listings, leases, due diligence packages
  • Assistants for agents/operators with structured answers and next actions

 

Outcome: validate workflow logic + data handling in a working initial system.

Retail — customer & operator copilots
  • Product discovery / Q&A assistant grounded in catalog data
  • Customer support triage and resolution workflows
  • Ops copilots for inventory signals and operational actions

 

Outcome: validate AI-assisted workflows before scaling across channels.

Hospitality — guest & operations workflows
  • Guest requests intake → prioritization → fulfillment workflows
  • Staff copilots for policies, knowledge, SOP-based actions
  • Experience / service automation concepts validated as a real system

 

Outcome: validate service flows end-to-end with a production-ready baseline.

Healthcare — document-heavy operations & controlled workflows
  • Intake & routing for requests, referrals, forms
  • Document-heavy workflows (structured extraction + next steps)
  • Assistant flows that support staff decisions (not replacing them)

 

Outcome: validate workflow feasibility and operational impact before scaling governance.

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What happens after RACE

RACE systems are designed to evolve seamlessly into:

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FAQ

What is RACE Mode?

RACE Mode is an AI-native development mode that delivers a production-ready initial system using intent-driven development and a digital workforce.

How can we validate a business idea quickly?

RACE validates business value fast by turning your intent into a working, production-ready initial system — in days.

How fast can we get a working system?

RACE is optimized for zero-to-one delivery: from idea to a production-ready baseline in days (scope dependent).

Is this just a prototype or a demo?

No. RACE delivers a production-ready initial system with production-grade architecture by default, built to evolve—not to be thrown away.

What do we actually receive at the end?

You receive  a working baseline solution plus executable specs (living documentation), AI-generated tests (TDD), and documentation/DevOps.

Who builds the system — humans or AI?

Humans define intent and architecture, and an AI agent workforce executes implementation at speed. A senior mini-pod leads quality and technical strategy throughout.

Start validation with RACE

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