Jovanni Jungco, a full-stack and AI engineer, takes every project through seven stages: discovery call, brief and scope, blueprint, build, review, launch, and handover. Each stage ends with something you can see and approve, so you always know what is done and what comes next.
We talk through your idea, who it is for, and what a good result looks like. I ask questions and tell you honestly whether I am the right fit.
I turn the call into a written brief: goals, features, what is in and out of scope, and an estimate with a timeline.
Before writing production code I plan the architecture, data model, third-party services and key screens, so there are no big surprises later.
I build in small increments and ship working features to a staging site, so you can see real progress instead of waiting for a big reveal.
We go through the whole product together. I fix bugs, handle agreed revisions, and check performance, accessibility and security basics.
I deploy to production, connect your domain and services, and watch the first live traffic closely.
You get the code, documentation and access. After launch I fix issues in the agreed support window, and we can keep working together if you want to grow the product.
Jovanni works in seven stages: discovery call, brief and scope, blueprint, build, review and testing, launch, and handover with support. Each stage has a clear output, such as a written brief, an architecture plan, or a staging link, so you always know what is done and what comes next.
A project starts with a discovery call. Jovanni listens to your idea, asks about users and goals, and says honestly whether the project is a good fit. If it is, a written brief with scope, estimate and timeline follows, and nothing starts until you approve it.
The timeline depends on the scope of the project. A small, focused build takes less time than a product with payments, AI features or several integrations. Jovanni gives a timeline in the written brief after the discovery call, and splits the work into milestones with demo dates, so you can see progress and adjust priorities along the way.
[Pricing model: fixed price per milestone, hourly, or monthly retainer.] Jovanni sends a written estimate after the discovery call, and the scope in the brief defines what the price covers. Changes to scope are discussed and agreed before any extra work starts.
Jovanni builds with TypeScript, Next.js and React on the front end, React Native for mobile, and Node.js on the back end. Data lives in PostgreSQL, with pgvector for AI search. Jovanni deploys on AWS and Vercel, and uses the Claude API for AI features. The stack is chosen to fit your project.
Yes. Jovanni has built an AI customer service agent, a browser automation agent and a compliance tool that uses retrieval over PostgreSQL with pgvector and the Claude API. Each one is described in a case study on the work page, including the decisions and trade-offs.
Ownership terms: you own the code and assets on final payment. At handover Jovanni delivers the source code, documentation and access to every service set up for the project, so you are never locked in to Jovanni.
After launch Jovanni monitors the first live traffic and fixes issues during the agreed support window of support window. After that you can run the product on your own with the documentation, or continue with ongoing maintenance and new features.
Jovanni works remotely and adjusts working hours to what the client needs, so there is no fixed time zone. Meeting times and the amount of overlap are agreed during the discovery call. Updates are written and asynchronous by default, with calls scheduled when a conversation is faster than a message.
