No arAppRitmo
App de agenda com experiência mobile-first, visão do dia e dados seed prontos para usar no primeiro clique.
You explain the app you want. The team handles the screens, the data, the access, and the tests.
A squad is a ready-made AI team inside Overclock. Each AI handles one part of the project. You talk to the maestro; it splits the work and merges everything at the end.
To start, you answer 5 questions. The team maps what the app stores and what shows on each screen, builds the parts, and tests the main paths.

The maestro is the AI that organizes the team. You talk to it; it turns the request into tasks, tracks each part, and gathers the result. You don't have to coordinate each AI yourself.
“I want a scheduling app where the person creates appointments, changes times, and marks what’s done.”
The maestro organizes the screens and the data. One AI handles the app’s foundation, others build the screens, and others check each path.
Explain who uses it, what the main task is, what look you like, how the app should behave, and what data it needs to store.
It lists the screens, the data, and what needs to work in each path.
One AI handles the foundation while others build the screens at the same time.
Each path is tested as a person would use it. Issues go back for fixes.
The link already opens with sample data for you to click and check.
You decide what you want and approve the important moments. The maestro handles the coordination between the AIs.
Open each project to see the product, the problem that shaped the build, and what was delivered.
No arAppApp de agenda com experiência mobile-first, visão do dia e dados seed prontos para usar no primeiro clique.
No arAppExperimento de e-commerce para uma marca fictícia de cosméticos, com catálogo filtrável, página de produto, carrinho persistente e checkout simulado.
No arAppExperimento de e-commerce de camisas retrô de futebol, com catálogo, fichas de produto, seleção de tamanho, carrinho e checkout simulado.
No arAppPlacar experimental de tarefas de programação, com resultados, custo, tokens e comparativos gerados a partir de uma base de dados estruturada.
The work doesn't end in a chat reply. You get files, previews, and links you can open, review, and use.
A link that already opens with sample data for you to click and use.
App web funcionando com URL e dados seed realistas — você usa o app populado, não um esqueleto
The list of what the app stores and how the data relates, locked before the build.
Contrato de dados travado antes do código: entidades + campos + enums — é ele que permite back e front rodarem ao mesmo tempo
Rules so each person can only access what belongs to them.
Backend com RLS de verdade: UPDATE com USING e WITH CHECK, ownership em cada policy, nunca user_metadata em policy
Every important path in the app clicked and checked before delivery.
1 agente por tela, todas simultâneas; 1 verificador por fluxo no review — cada defeito vira finding com evidência
You describe the main use case. The maestro organizes the screens, what the app stores, and what needs to work so the team builds without conflicts.
DATA CONTRACT: entities + fields + enums, locked before code
public visual reference → tokens + styleboard
functional reference → feature-map.md: flows, screen states
Card + styleboard/feature-map in plain language.
schema + migrations · RLS with the official checklist · auth + storage · realistic seed
1 agent PER SCREEN, all simultaneous — CRUD = sonnet, dense screen = opus
pre-writes the tests for each flow while the build runs — zero wait
single barrier: connects front↔back, swaps mocks, runs the seed
URL with seed data — you use the populated app, not a skeleton.
1 verifier PER FLOW of "how do I confirm" · defect = F-XXX with evidence
Flow-by-flow checklist. Rule: "delight or redo" — generic doesn't pass.
On Boost Pro, you call App Factory, watch the build, and get the published app with the paths verified.
on Boost Pro, R$ 98,50/mês nos 3 primeiros meses