Architecture + Execution,
From Idea to Production

• You have a product idea and need a technical partner who can design and build it.
• You are a startup building your first MVP.
• You are building an internal platform or tool.
• You need more than a no-code prototype.
• You want to avoid rebuilding everything after the MVP.
• You need architecture, backend and delivery handled by one senior person.

• Product and technical discovery
• MVP scope definition
• Architecture design
• Backend development
• Full-stack implementation when needed
• Database design
• Authentication and user flows
• API design
• DevOps setup and deployment pipeline
• Basic monitoring
• AI-assisted development workflow
• Technical documentation

• You need to move fast without sacrificing quality.
• You want to adopt AI-assisted development the right way.
• You are under time pressure to ship a product.
• You worry AI-generated code will create technical chaos.
• You need senior review on AI-assisted output.
• You want to increase delivery speed without growing the team.

• AI-assisted development workflow setup
• Fast MVP implementation
• Architecture-first prompting and planning
• Code generation with senior review
• Rapid frontend/backend iteration
• Automated documentation
• Refactoring support
• Testing support
• AI-assisted technical research
• Production-readiness review

• Your backend is becoming hard to change.
• Your product is outgrowing a simple prototype.
• You are unsure whether to use microservices or a monolith.
• Your service boundaries or API contracts are unclear.
• You are hitting scalability or performance limits.
• You are planning a modular monolith to microservices transition.

• Backend architecture design
• Modular monolith design
• Microservices boundary design
• API contracts
• Database design
• Service communication patterns
• Event-driven architecture when needed
• Authentication and authorization architecture
• Integration patterns
• Scalability planning
• Performance bottleneck analysis
• Technical documentation

• Your team ships slower than before.
• Deployments are risky or manual.
• Nobody fully understands the legacy system.
• Microservices created more complexity than clarity.
• Backend performance is becoming unpredictable.
• An AI prototype works, but production reliability is unclear.
• The founder or CTO needs an external senior technical opinion.

• Architecture risk report
• Backend architecture review
• Infrastructure review
• CI/CD and deployment review
• Delivery bottleneck map
• Priority fixes
• 30/60/90 day technical roadmap
• Final recommendation call

• You have an AI prototype but it is not production-ready.
• AI responses are unstable or hard to monitor.
• Costs and rate limits are unclear.
• The product needs RAG, vector search or AI workflow integration.
• The team needs backend architecture around AI features.
• The AI feature must be reliable enough for real users.

• AI architecture review
• OpenAI / Claude / AI SDK integration
• RAG and vector database design
• Prompt and workflow structure
• Fallback and retry strategy
• Cost and rate-limit control
• Monitoring and logging
• Production deployment plan

• The company has developers but lacks senior technical direction.
• The founder needs help making architecture decisions.
• Delivery is slow and technical priorities are unclear.
• The team needs better engineering process and standards.
• The company needs CTO-level support but not a full-time CTO.
• The product is growing and technical complexity is increasing.

• Architecture reviews
• Technical roadmap
• Engineering process improvement
• Code review standards
• DevOps and infrastructure guidance
• Hiring and team structure advice
• Technical decision support
• Regular leadership calls

• Deployments are risky or frequently fail.
• Production bugs are blocking delivery.
• The team is constantly firefighting.
• Backend or infrastructure problems are slowing down releases.
• Legacy code is preventing important product changes.
• A senior technical person is needed to quickly identify and fix the most critical issues.

• Initial technical diagnosis
• Prioritized rescue plan
• Critical backend / infrastructure fixes
• Deployment stabilization
• API and integration cleanup
• Basic rollback / monitoring improvements
• Technical handoff documentation

Architecture Audit

A fixed-scope review of architecture, infrastructure and delivery — ending with a prioritized risk report and a 30/60/90 day roadmap.

Technical Rescue Sprint

A focused 1–2 week engagement to stabilize critical backend, infrastructure, deployment or architecture problems.

Monthly Architecture Retainer

Ongoing fractional CTO and architecture partnership — regular leadership calls, technical direction and delivery discipline.

Project-Based Implementation

Defined deliverables — AI productionization, modernization or platform work — scoped and priced up front.