Use case

Our AI product development process

A senior team uses AI to implement, review and iterate the product, with human responsibility for every delivery.

Productea combines design and development with AI tools such as Claude and Cursor. AI helps implement components, review code and prepare tests; the senior team defines scope and reviews the result. Delivery speed depends on scope, integrations and project reviews. We do not apply a universal productivity multiplier.

How the workflow changes with AI

The traditional flow (requirements → design → handoff → development → QA → deploy) compresses into a 24-48 hour daily cycle. The designer works in Figma with a token system exported to code. The developer uses Claude to implement components directly from mockups. Tests are generated and reviewed with AI before commit.

We do not use AI as autocomplete. We use it to generate full components, refactor entire modules, cover edge cases in tests, and audit security of migrations. The senior human reviews, decides, and owns the outcome.

What an AI agency does that a freelancer with Cursor cannot

A freelancer with Cursor speeds up their own work. An agency with proprietary AI workflows speeds up the entire pipeline: discovery, architecture, design, development, QA, and go-to-market. At Productea we have prompts and specialized agents for each phase, shared across the team, measured, and iterated every sprint.

Scope, team, schedule and service terms are agreed in the proposal and contract before work starts.

What AI does NOT do in our process

AI does not decide architecture, does not write production SQL without human review, does not define scope, and does not talk directly to the client. AI has no opinion on product-market fit. Those decisions stay with the senior human because they need business, regulatory, and stakeholder context.

AI also does not replace security review. Every DB migration, RLS policy, and auth flow goes through manual OWASP Top 10 review before merge.

Real cases from Productea

The portfolio documents design and development projects including Capboard, Inmovilla and Swipcar. These engagements have different scopes and dates and should not all be attributed to the same AI workflow. The Power Plugin is a documented example of complete product development using AI.

Frequently asked questions

Does AI write the code that ships to production?+

AI writes drafts. A senior reviews, adapts, refactors, and approves before commit. Every PR goes through human review and automated tests.

What about IP if you use AI?+

Code ownership is documented in the contract. Data handling depends on the tools, configuration and terms agreed for the project. Privacy requirements are reviewed before sensitive data is used.

Is it as secure as traditional development?+

Yes. We apply manual OWASP Top 10 review to migrations, RLS, and auth flows. AI speeds us up but does not relax security controls.

Which AI tools do you use exactly?+

Claude (Anthropic) as main code and docs engine. Cursor as AI-assisted IDE. OpenAI for UX research and asset generation. Plus proprietary workflows built on top of these APIs.