AI-assisted development, built and reviewed by humans
We use AI coding tools to move faster on the mechanical parts of building software — every deliverable still gets a human review before it reaches you.
Eight ways to work with us
Each engagement is scoped to what you actually need — pick the closest match below and we'll refine the details together.
AI-Assisted Website Development
Marketing sites, brochure sites and content-driven pages built faster by pairing AI coding tools with a developer who reviews every line. You get a fast, accessible, SEO-ready site without paying for hours spent on boilerplate.
- Responsive, accessible design implementation from a brief or existing mockup
- On-page SEO basics: metadata, semantic HTML, sitemap and structured data
- Performance-tuned build (image optimization, minimal JavaScript, fast load times)
- Content management setup where needed (headless CMS or simple file-based content)
- Human review pass on all AI-generated code before handoff
- Deployment to your hosting provider of choice
AI Web Application Development
Full web applications — dashboards, internal tools, customer-facing portals — built with modern frameworks and AI-assisted development to move from spec to working software faster, without skipping architecture decisions that matter.
- Technical architecture and data model appropriate to your actual scale
- Frontend and backend implementation with authentication and role-based access where needed
- API design and database schema documented for future maintenance
- Automated tests for critical paths, not just happy-path demos
- Human code review of AI-generated logic, especially around auth and data handling
- Handoff documentation so your team (or ours) can maintain it going forward
MVP Development
A working, demoable first version of your product built to test a real idea with real users — not a throwaway prototype. We scope ruthlessly to the smallest thing that proves or disproves your core assumption.
- Scope definition workshop to identify the one thing the MVP must prove
- Working product covering the core user flow end to end
- Basic analytics wired in so you can see what users actually do
- A short written plan for what to build next based on likely outcomes
- Clean, reviewed codebase you can hand to another developer later
- Deployment and a basic runbook for keeping it online
SaaS Development
Multi-tenant software-as-a-service products built with the pieces every SaaS needs: accounts, billing, permissions and a data model that won't need a rewrite at 100 users. AI-assisted development speeds up the repetitive parts so time goes into the parts unique to your product.
- Multi-tenant architecture with proper data isolation between customers
- Authentication, team/organization accounts and role-based permissions
- Subscription billing integration (e.g. Stripe) with plan tiers and usage limits
- Admin tooling for support and operations from day one
- Security review of AI-generated code touching auth, billing or user data
- A deployment and monitoring setup you can operate without us
AI Agent Development
Custom AI agents that carry out defined tasks — research, data entry, customer replies, internal workflows — built on top of LLM APIs with guardrails so the agent stays inside its scope. We design for the failure cases, not just the happy path.
- Task and scope definition: exactly what the agent should and shouldn't do
- Agent implementation using an appropriate framework or direct API integration
- Guardrails: input validation, output checks and human-in-the-loop approval where stakes are high
- Logging so you can see what the agent did and why
- Testing against edge cases and adversarial inputs, not just typical requests
- Documentation covering how to adjust prompts and limits after launch
AI Automation
Automating repetitive business processes by connecting your existing tools with scripts, scheduled jobs and AI where judgment is genuinely needed — not automation for its own sake. We start by mapping the current manual process before writing anything.
- Process mapping of the current manual workflow and its edge cases
- Automation build connecting your existing tools (spreadsheets, CRMs, email, internal systems)
- AI steps added only where plain rules-based logic genuinely can't do the job
- Error handling and alerting so failures are visible, not silent
- A rollback or manual-override path for when automation gets something wrong
- Documentation your team can use to maintain or extend the automation
API Integration
Connecting your product or internal systems to third-party APIs — payments, CRMs, analytics, communication platforms, AI model providers — with proper error handling and without leaking credentials or breaking on the vendor's next update.
- Integration design covering authentication, rate limits and failure modes
- Implementation of the integration with retry logic and clear error surfaces
- Secrets and credential handling following standard security practice
- Test coverage for both the success path and realistic API failures
- Monitoring or logging so a broken integration is noticed quickly
- Documentation of the integration for future maintenance
AI Development Consulting
Advisory work for teams and individuals adopting AI-assisted development: choosing tools, setting review practices, and avoiding the common mistakes teams make when they start shipping AI-generated code without a process around it.
- Assessment of your current workflow and where AI tools would realistically help
- Tool recommendations based on your stack and team, not a generic list
- A code review process suited to AI-generated code (what to check, what to automate)
- Guidance on security and data-handling risks specific to AI coding tools
- Hands-on session with your team working through a real task together
- A written summary with concrete next steps, not just a slide deck
AI-assisted doesn't mean unreviewed
AI coding tools help us move quickly through boilerplate, first drafts and repetitive implementation work. They don't replace judgment.
Every engagement includes a human review of AI-generated code before delivery — for correctness, security, and fit with the rest of your codebase. We test what we build rather than trusting a model's output at face value.
We won't invent a track record or client roster we don't have. If you'd like to talk through whether a specific project is a good fit, the fastest way is to reach out directly and describe what you're trying to build.
Have a project in mind?
Tell us what you're building and what AI tools, if any, you're already using — we'll reply with honest next steps.