1. Brief & Strategy
You share your goal. We don't just "start coding." We analyze your brief, identify hidden assumptions, and define the one Key Performance Indicator (KPI) that matters for this sprint.
AI Action:The **Strategist** agent ingests the brief, conducts market/competitor research, and drafts the initial user stories and spec doc.
Human Action:Your **human PM** reviews the AI's output, confirms the scope and KPI with you, and approves the final plan.
2. The Sprint & (Human) Review
Our AI team gets to work. The Designer builds a brand-aligned component library while the Engineer writes production-ready, tested code. This happens in parallel, in short, fast cycles.
AI Action:The **Designer** & **Engineer** agents execute on the approved spec, building all required assets and features.
Human Action:Your **human PM** performs a quality review on *all* AI-generated work to ensure it's on-brand and on-spec *before* you see it.
3. The Asynchronous Feedback Loop
Work is delivered to your client board for review. You can provide direct, pixel-perfect feedback on designs or live staging links. No meetings, no "quick syncs," just progress.
AI Action:The **AI agents** are on standby, ready to execute revisions based on new tasks.
Human Action:Your **human PM** triages your feedback, translates it into clear tasks, and assigns the revisions to the correct AI agent.
4. Launch & Monitor
Once all checks are passed and you give the final "go," we ship. But our process doesn't end at launch. We immediately transition to monitoring the metrics we defined in Step 1.
AI Action:The **QA agent** runs automated tests and validates all user flows. Post-launch, it monitors analytics for errors and performance.
Human Action:Your **human PM** gives the final sign-off, manages the deployment, and reports back to you on the project's performance.