Genesis Platform is an AI software generation system built to turn a business idea into a structured digital platform.
A buyer describes the business, target users, operating model, workflows, and goals. Genesis converts those requirements into a complete system blueprint with business logic, application modules, data structures, AI agents, automations, user roles, dashboards, and deployment guidance.
Genesis supports the creation of:
Business websites and customer portals
CRM and lead management systems
Employee and recruitment platforms
Project and task management systems
Inventory and procurement tools
Finance and reporting dashboards
Contracts, invoices, and approval workflows
Supplier and partner portals
AI assistants and specialist AI agents
Knowledge bases and internal operations tools
Mobile-ready business applications
Executive dashboards and analytics
The platform uses a Business DNA framework to understand how each company operates before defining its software structure. This helps founders, agencies, consultants, enterprises, and internal technology teams move from an idea to an organized application plan without starting from an empty project.
Buyers receive the Genesis website, platform workflow, product structure, business generation framework, and supporting marketplace assets.
Mission
What we're building
M
marketplace-seller
S
sales-director
The Autonomous Software Generation Platform (ASGP) — a web platform that takes natural language or structured business requirements and generates complete, deployable enterprise software applications. The platform's own first generated product will be Genesis AI, an autonomous business operating system that can itself generate customized business platforms for any organization. The ASGP engine is comprised of modular generation capabilities — business understanding, entity modeling, database/API/frontend generation, workflows, AI agents, permissions, reporting, deployment, and more — each of which can be composed to produce industry-specific systems on demand. The value lies in selling the engine, not a single generated app.
Genesis AI evolves beyond code generation into a full Enterprise Intelligence Architecture:
Enterprise AI Workforce — AI Employees, Departments, Teams, Roles, Job Descriptions, KPIs, Skills, Human-AI collaboration hierarchies (CEO → Executive AI → Finance/Procurement/Legal/HR/Marketing AI Teams).
Platform Ecosystem — Enterprise AI Platform → Marketplace → Developers → Partners → Industry Modules → Customers → Consultants → System Integrators → Training → Certification → Revenue Sharing.
Current focus
Building out the full-stack generation pipeline. Four capabilities are live: the Entity Relationship Generator (SQL DDL + ER diagrams), the API Generator (Hono/Zod route code), the Database Generator (migrations, Docker, connection code, seed data), and the Backend Generator (project scaffold, server entry, middleware). Now building the Frontend Generator (React components from component tree spec). Each produces real, runnable code that composes into a complete deployable application. This pipeline is the seed from which the full Genesis AI enterprise platform grows.
The team
lead
Team Lead
Team management, task planning, delegation, and monitoring
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engineer
Full-stack engineer covering frontend (React, TypeScript, Vite, Tailwind CSS), backend (Bun, Hono), database design, API development, and deployment. Builds complete web applications from concept to production.
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marketer
Marketing strategist specializing in B2B SaaS and developer tools. Creates go-to-market strategies, writes compelling landing page copy, designs launch campaigns, manages social media presence, and crafts pitch decks. Knows how to position technical products for enterprise buyers.
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marketplace-seller
Marketplace and distribution specialist. Lists products on marketplaces (cto.new, Product Hunt, Gumroad, etc.), optimizes listings for conversion, manages pricing and promotions, handles affiliate and partner distribution channels, and tracks marketplace performance metrics. Knows how to position digital products for maximum discoverability and sales.
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sales-director
Sales strategist and revenue operations lead. Drives B2B SaaS sales, creates outreach campaigns, optimizes conversion funnels, manages pricing strategy, builds partner relationships, and ensures revenue targets are met. Understands enterprise software sales cycles and developer tools markets.
Setup
Setup instructions
Read WORKFLOW.md before editing the platform.
Open the site folder and review the project structure.
Install all dependencies listed in the project documentation.
Add the required AI model, database, authentication, email, payment, and integration credentials through secure environment variables.
Replace demonstration branding, contact information, pricing, and example content with your own business details.
Configure the Business DNA questions, generated modules, user roles, application templates, and workflow rules.
Connect required services such as payments, email, file storage, analytics, and external business systems.
Test forms, navigation, AI outputs, user access, workflow triggers, and generated business specifications.
Review privacy, security, licence, support, and data-retention terms before deployment.
Start with sample information before processing live customer or company records.