PROCESS
From business problem to production system.
I start with how the business and product need to work, then define the architecture and technology around that. This avoids forcing a framework, automation platform, or AI model into a problem it does not fit.
01
Understand
Start with the business problem, users, workflow, and constraints rather than immediately choosing a framework or platform.
- Users & business goals
- Current workflow & pain points
- Constraints
- Success criteria
02
Map Workflow
Identify data, systems, dependencies, integrations, permissions, failure points, and edge cases.
- Data & systems
- Dependencies & integrations
- Permissions
- Edge cases & failure states
03
Architect
Define frontend, backend, database, API, payment, AI, automation, and cloud responsibilities.
- Frontend & backend boundaries
- Data model
- Payments / AI / automation
- Cloud infrastructure
04
Build
Implement the product using the right mix of custom engineering and external platforms.
- Custom product development
- Platform selection
- Incremental delivery
- Maintainable structure
05
Integrate
Connect APIs, payments, AI, automation, and third-party services into one reliable system.
- Payment providers
- AI APIs
- SaaS tools & databases
- Automation platforms
06
Validate
Test normal flows, permissions, retries, failures, edge cases, and production scenarios.
- Happy paths & permissions
- Failures & retries
- Webhook behavior
- Data consistency
07
Deploy
Prepare the system for real users with monitoring, environment setup, and operational readiness.
- Environment configuration
- Monitoring basics
- Release readiness
- Operational handoff
08
Improve
Remove bottlenecks, extend capabilities, and evolve the architecture as requirements change.
- Reliability improvements
- Automation expansion
- Feature extensions
- Architecture evolution