PHASE 1 - DISCOVERY AND FEASIBILITY PHASE
Understanding a Product Vision andAssessing If the Company Can Build What You Need1.1 Partner's key actions
shares product vision and business goals
no commitment required – this phase is risk-free
1.2 Company’s key actions
shows what's possible with today's AI capabilities
confirms AI is the right fit for the partner’s business problem
be transparent about what won't work and why
delivers a preliminary technical blueprint
offers honest guidance on the optimal path forward
1.3 Code delivered
no development costs at this stage
full code development begins in Phase 3
1.4 Duration
1 week with up to 10 hours of online meetings
1.5 Cost
no charge for Phase 1
1.6 Legal
NDAs or confidentiality agreements (if the partner requires)
1.7 Note
the company uses established foundational models
custom machine learning is available when a project requires it
PHASE 2 - PROTOTYPE PHASE
Develop a Functional Demo Showcasing the Key AI Features andDemonstrate Exactly How AI Will Solve the Partner’s Business Problem2.1 Partner’s key actions
shares additional product details as the company refines the prototype
provides feedback on the demo to ensure it meets the product vision
uses the working demo to pitch investors and validate the concept
2.2 Company’s key actions
develops a working AI agent prototype tailored to the product requirements
demonstrates the prototype to the partner
incorporates the partner’s feedback and refines the solution
2.3 Code delivered
prototype-stage code designed to demonstrate AI capabilities
command-line interface for testing core functionality
hosted on the company’s cloud infrastructure for fast delivery
full application development (APIs, frontend, backend) begins in Phase 3
2.4 Duration
1-3 months depending on complexity
20 hours weekly commitment
2.5 Cost
team size: one part-time ML-engineer
billing: hourly rate, invoiced weekly
2.6 Legal
simple service contract covering one (part-time) dedicated ML-engineer for Phase 2
2.7 Note
code is deployed on the company’s AWS infrastructure for demonstration
source code is stored in the company’s private GitHub repository
the company retains IP rights during Phase 2 (prototype stage)
full IP ownership transfers to the partner upon entering Phase 3
PHASE 3 - FULL-SERVICE CONTRACT AND TECH TEAM FORMATION PHASE
Full-Service Contract is Signed by Both Parties andTechnical Team is Assembled with Required Expertise andCode Development Phase Commences3.1 Partner’s key actions
signs a full-service contract for ongoing development
articulates and refines comprehensive product vision and requirements
secures necessary funding and investment resources
approves technical team composition and resource allocation
3.2 Company’s key actions
signs a full-service contract for ongoing development
recruits and hires software engineers with specialized expertise
completes comprehensive onboarding of engineering team
guides the partner through AWS cloud account configuration
facilitates GitHub repository setup for version control and code tracking (in the partner’s account)
delivers comprehensive technical system architecture and design documentation
directs development execution
3.3 Code delivered
intellectual property rights for AI-agentic code from Phase 2 are formally transferred to the partner
code base from Phase 2 is committed to the partner's GitHub repository with complete documentation
full-stack application development commences upon engineering team readiness
AI-agentic capabilities are iteratively enhanced and expanded
complete codebase (AI agents, APIs, frontend, backend) is continuously committed to the partner's GitHub repository beginning from Phase 3
3.4 Duration
less than 1 month
3.5 Cost
engineering team: hourly rate × actual hours worked (team size scales with hiring pace)
billing: hourly rate, invoiced weekly
AWS cloud services:
the partner pays directly to AWS
mostly pay-as-you-go model is applied
GitHub services:
the partner pays directly to GitHub for each software engineer hired by the company
the partner should choose a plan:
Team plan in GitHub
Enterprise plan in GitHub
3.6 Legal
full-service contract for ongoing development for Phase 3-4
3.7 Note
code ownership and control:
all project code and version history are stored in the partner's GitHub repository, ensuring complete ownership and control
non-hire covenant:
the partner shall not hire or attempt to hire, directly or indirectly, any employees of or contractors to the company, except as expressly permitted in writing under the full-service contract
PHASE 4 - PRODUCT EVOLUTION AND FULL-SCALE DEVELOPMENT PHASE
Iterative Product Enhancement Based on User Feedback and Market Insights andFull-Capacity Production Development with Complete Engineering Team4.1 Partner’s key actions
product performance assessment:
reviews analytics, user feedback, and business metrics
identifies strengths, gaps, and improvement opportunities
strategic product planning:
generates and evaluates feature concepts
prioritizes development initiatives based on business impact
market development and brand building:
executes marketing campaigns to drive user acquisition
manages public relations and thought leadership initiatives
customer insights and validation:
conducts user interviews and feedback sessions
validates product-market fit and feature priorities
roadmap development and resource planning:
creates detailed development roadmap for future phases
aligns technical priorities with business objectives
4.2 Company’s key actions
maintains optimal engineering team capacity aligned with project requirements
directs and oversees all development activities and technical execution
deploys production-ready features through controlled release processes
architects and maintains scalable cloud infrastructure
optimizes cloud resource utilization to minimize operational costs
executes comprehensive testing protocols in staging environments
monitors system performance and resource utilization across all components
provides technical documentation and knowledge transfer
implements security best practices and compliance measures
offers incident response and technical support
conducts regular performance tuning and optimization
4.3 Code delivered
enterprise-grade production codebase with complete technical documentation
modern microservices architecture enabling independent service deployment and scaling
cloud-native infrastructure with auto-scaling capabilities for variable workloads
clean, well-documented code following industry best practices for long-term maintainability
modular architecture designed for rapid feature expansion and technology evolution
full intellectual property ownership of all AI agents and custom application code transferred to the partner
complete source code, configuration files, and version history stored in the partner-controlled GitHub repository
4.4 Duration
ongoing
4.5 Cost
engineering team: hourly rate × actual hours worked (team size scales with hiring pace)
billing: hourly rate, invoiced weekly
AWS cloud services:
the partner pays directly to AWS
mostly pay-as-you-go model is applied
GitHub services:
the partner pays directly to GitHub for each software engineer hired by the company
the partner should choose a plan:
Team plan in GitHub
Enterprise plan in GitHub
4.6 Legal
if necessary, the full-service contract from Phase 3 is updated
4.7 Note
code ownership and control:
all project code and version history are stored in the partner's GitHub repository, ensuring complete ownership and control
non-hire covenant:
the partner shall not hire or attempt to hire, directly or indirectly, any employees of or contractors to the company, except as expressly permitted in writing under the full-service contract