Our Project & Development Process
No black boxes. No guesswork.
We build custom web applications with a transparent, AI-accelerated workflow. Every phase has clear deliverables, defined timelines, and a human engineer accountable for quality.
How We Work
Five phases from idea to production
Each phase has a defined purpose, clear deliverables, and an honest estimate of how long it takes. AI accelerates the work; humans own the decisions.
01 Discovery Call
1 call + async follow-up (typically 1–3 days)
We align on goals, constraints, and what success looks like before a single line of code is written.
Deliverables
- Shared understanding of goals and constraints
- Identified stakeholders and decision-makers
- Agreed-upon success criteria
- Follow-up summary document
Where AI fits
This phase is entirely human-led. We listen, ask clarifying questions, and map your business needs before AI enters the picture.
02 Requirements & Functional Design
~1 week
Discovery notes become a structured PRD/FDD: the source of truth that every sprint and ticket will trace back to.
Deliverables
- Product Requirements Document (PRD)
- Functional Design Document (FDD)
- User stories with acceptance criteria
- Out-of-scope items documented explicitly
Where AI fits
AI assists with structuring and drafting the PRD/FDD from discovery notes, surfacing gaps, suggesting edge cases, and formatting consistently. Engineers review and own every decision.
03 AI-Assisted Scoping
2–4 days
The PRD/FDD is translated into a prioritized Linear backlog of sprints, tasks, and acceptance criteria ready for development.
Deliverables
- Linear project with labeled sprints
- Tickets with acceptance criteria and effort estimates
- Sprint ordering and dependency map
- Shared project roadmap you can track in real time
Where AI fits
Claude decomposes the functional design document into discrete Linear tickets, proposes sprint groupings, and drafts acceptance criteria. Engineers review, reprioritize, and finalize before any sprint begins.
04 Iterative Sprints
1–4 week sprint cycles
Agentic AI and senior engineers work in parallel; tickets move from Linear to a pull request, reviewed by a human before they ever merge.
Deliverables
- Shippable features at the end of each sprint
- Pull requests with human code review
- Staging environment for your review
- Sprint retrospective and updated backlog
Where AI fits
Our agentic workflow runs Cursor + Claude against each Linear ticket, producing a pull request. A senior engineer reviews every PR for correctness, security, and quality before it merges. No AI-generated code ships without a human sign-off.
05 Deploy & Monitor
Ongoing post-launch
We ship to production and stay on watch, monitoring performance, uptime, and Core Web Vitals so you can trust what's live.
Deliverables
- Production deployment with CI/CD pipeline
- Core Web Vitals and Lighthouse monitoring
- Runtime health and uptime checks
- Documentation and handoff materials
Where AI fits
AI-assisted observability surfaces regressions automatically. We use real PageSpeed Insights data and runtime health checks (the same metrics visible on our own site) to validate every deploy.
Five Phases at a Glance
From first call to live product
Every engagement follows the same transparent arc. Each phase begins only after you've reviewed and signed off on the previous deliverable, so no phase slips by without your input.
Your Journey With Us
01 Discovery Call
- You bring: Share goals & constraints
- You receive: Project scope brief
- Timeline: 1–3 days
02 PRD / FDD
- You bring: Review & approve scope
- You receive: Full requirements doc
- Timeline: ~1 week
03 AI Scoping
- You bring: Confirm priorities
- You receive: Sprint roadmap & backlog
- Timeline: 2–4 days
04 Iterative Sprints
- You bring: Review staging builds
- You receive: Shippable features
- Timeline: 1–4 week cycles
05 Deploy & Monitor
- You bring: Approve launch
- You receive: Live product & monitoring
- Timeline: Ongoing
Inside our process
Inside Each Sprint
How a ticket becomes a pull request
Inside each sprint, our agentic workflow connects Linear, Cursor, Claude, and GitHub. A ticket gets assigned to an AI agent; the resulting pull request waits for human review. Every step is traceable.
The Automated Pipeline
- Issue Created: Linear
- Assigned to: Cursor Linear
- Branch & Code: Cursor + GitHub
- PR Opened: GitHub
- Team Notified: Slack
- Tested & Deployed: GitHub Actions
Go Deeper
From Ticket to Deployed: Our Agentic AI Development Workflow
We documented our full internal workflow: the four tools, the pipeline steps, the quality safeguards, and the honest tradeoffs. It's the technical companion to the process you just read.
Common Questions
Straight answers about AI-assisted development
Is AI writing all of our code?
No. AI accelerates our engineers; it does not replace them. Every pull request generated by an AI agent is reviewed and approved by a senior engineer before it merges. We treat AI output the same way we treat any junior contribution: it needs a human sign-off.
Who owns the IP and source code?
You do (100%). All work product, source code, and intellectual property transfers to you at the end of the engagement. We use a plain-English work-for-hire agreement and can provide a copy before any work begins.
How do you maintain quality when AI is involved?
The same way any serious engineering team does: pull request review, automated type checking, lint enforcement via Ultracite/Biome, end-to-end tests, and runtime monitoring after deploy. AI generates a first draft; our engineers own the final product.
What if a phase runs longer than the typical range?
Timelines on this page are typical, not contractual. If a phase expands (usually because requirements change mid-stream), we surface that immediately, explain why, and update the scope document before spending more time. You are never surprised by a bill.
Can we see examples of work built with this process?
Yes. Our work portfolio includes case studies with the full context: the problem, the approach, the stack, and the outcome. We can also walk you through a recent project on a call.
Ready to build something remarkable?
Tell us what you're trying to build. We'll tell you honestly whether we're the right team, and if we are, we'll scope it the same week.