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Our ApproachSpecification · v1
How we
build.
We've been building web applications and digital products for more than half a decade. Honest conversation about how we work, and what's right for your project, is part of how we do it.
Human-Driven01
AI-Driven02
Premise
“AI is part of every project we take on. The question is how much.”
Artificial intelligence has changed how software gets built. We think that's a good thing, but only when it's used thoughtfully. We've spent years developing our own internal tooling, prebuilt component libraries, and workflows that let us use AI as a multiplier without losing the judgement and oversight that makes the difference between a product that ships and a product that lasts.
We offer two distinct development approaches. Which one is right depends on where you're going, what data you're handling, and how you want to grow.
Description
Tier One · Development
Your application is architected, engineered, and reviewed by our development team from the ground up. AI assists through code review, performance suggestions, and pattern recognition, but every decision is owned by a human who understands the full picture.
Tier Two · Development
We use our proprietary component library and context-rich development environment to generate features rapidly with AI agents, guided and steered at every stage by our team. This isn't handing a prompt to a chatbot. It's a structured, QA-intensive process that compresses development time without sacrificing the fundamentals.
Process
Strengths
Where it shines
- Long-term maintainability and clean, readable codebases
- Holistic architecture planned before a line is written
- Easier to onboard future developers or internal teams
- Rigorous PR-based code review with multiple eyes on every feature
- Flexibility to use performant or emerging languages (Rust, Go, etc.)
- Stronger security posture for sensitive data environments
- Minimal code bloat. Nothing gets written without a clear reason
Where it shines
- Faster time to market and lower development cost
- Built on our battle-tested component library, not from scratch
- Expert team steering every sprint and pivoting when needed
- Strong UX and product management process throughout
- Deployed on modern, low-cost infrastructure (Supabase, Vercel)
- Excellent fit for clearly scoped feature sets
Fit · Tradeoffs
Best for
- Applications handling sensitive personal, health, or financial data
- Products that will onboard an internal development team
- Long-horizon platforms expected to grow significantly over time
- Regulated industries or high-litigation-risk environments
- Projects requiring precisely defined logic and zero tolerance for edge cases
Trade-offs to understand
- More QA time required. Edge cases need active testing, not assumption
- Some logic decisions made by AI without granular human review
- Codebases can trend larger over time as features accumulate
- Less appropriate where future developer handoff is a priority
- Requires a client relationship built on iteration and responsiveness
- Not recommended for high-risk data environments
Notes
From the team
Cost reflects deeper development time, primarily senior development hours spent planning, writing, and reviewing. The investment pays off in lower long-term maintenance costs and a resilient codebase that can stand the tests of time.
From the team
The client relationship matters more here. You'll be an active participant, flagging unexpected behaviours, approving post-launch adjustments, and staying engaged through QA. The product is excellent; it just takes a different kind of collaboration to get it there.
Comparison
Factor
Human-DrivenAI-Driven
01Development cost
Higher. Reflects senior development hours
Lower. Compressed timelines reduce labour cost
02Time to market
Longer. Thorough planning and review cycles
Faster. AI accelerates feature generation
03Code ownership
Human-authored, file by file
AI-generated, expert-steered and QA'd
04Maintainability
Excellent. Clean patterns, easy to hand off
Good, with ongoing attention to code health
05Security posture
Suited for high-risk environments
Best for lower-risk data contexts
06Developer handoff
Straightforward. Built to be read by humans
More complex. Requires thorough documentation
07Tech flexibility
Full. Language and framework agnostic
Focused on AI-proficient stacks (JS, Python, etc.)
08Client involvement
Structured touchpoints and approvals
Active collaboration through QA and iteration
09Ideal project
Mission-critical platforms, regulated industries
Internal tools, MVPs, marketing apps, directories
What doesn't change
Regardless of approach, you get the same team.
The tier you choose affects how the code gets written. It doesn't change who's in your corner, or how seriously we take your project.
Discovery & Product Design
Every project starts with a thorough discovery process. We define scope, map user flows, and make architectural decisions before development begins, regardless of which tier you're on.
UX & Interface Design
Your users get a product that's been designed to be used, not just built to be shipped. Design quality doesn't scale with budget. It's table stakes for us.
Expert Oversight Throughout
Our team is in the loop at every stage. AI-driven development is not unsupervised development. We steer, we redirect, we make calls. That's the value of working with experienced developers rather than a self-serve AI tool.
Deployment on Modern Infrastructure
Scalable, low-overhead infrastructure is standard. We build on platforms that grow with your product and don't saddle you with unnecessary licensing costs.
Where to next
Not sure which approach fits?
That's what the first conversation is for. Tell us what you're building, and we'll give you an honest recommendation, even if it means pointing you in a direction we didn't expect.
Start the Conversation