Plystra Studio

Independent AI product engineering studio.

AI Product Launch Engineering for small SaaS teams.

Plystra helps founders build, rescue, and launch AI-enabled web products — with auth, PostgreSQL, AI workflows, deployment, and maintainable code.

No calls required. Send the product context and get a clear next step.

Send project context View services

Best fit: React, Next.js, TypeScript, PostgreSQL, OpenAI, Anthropic, Docker, Vercel, Linux VPS.

LaunchAIDeploy

When prototypes get close to launch, the hard problems change.

Early prototypes are easy to demo. Real products need clearer boundaries: reliable deployment, stable data, useful AI behavior, maintainable code, and a path for future changes.

The app works locally, but breaks in production.

Auth, sessions, and permissions are fragile.

The database schema grew without a clear migration path.

AI features demo well, but fail on real inputs.

There is no deployment guide, logging, or handoff documentation.

The product idea is clear, but the first usable version still needs to be built.

Plystra focuses on the last mile between "it works in a demo" and "real users can safely use it."

Services

Three focused ways to move a small software product forward: review what exists, build the first version, or add practical AI workflows.

Production Readiness Audit

From $149

Find launch blockers before real users do.

A focused async review of your existing SaaS product, AI prototype, or unfinished web app before launch.

Best for existing repos, staging apps, AI-built prototypes, broken deployments, and products that are almost ready but not yet trustworthy.

Includes review of code structure, deployment setup, environment variables, auth/session flows, PostgreSQL schema, AI workflow reliability, error handling, logging, and launch blockers.

Deliverable: a prioritized launch-risk report with recommended fixes and a fixed-scope next-step quote.

Send context for an audit

Product Build Sprint

From $1,500

Build a focused SaaS product or internal tool from scratch.

For founders who have a clear product idea, workflow, or internal process — and need a small, production-ready web product built without agency overhead.

Best for focused SaaS MVPs, internal tools, AI-enabled dashboards, admin dashboards, lightweight workflow tools, document Q&A tools, and PostgreSQL-backed web products.

Includes product scoping, frontend implementation, backend API, auth when needed, PostgreSQL schema, AI workflow when needed, deployment, and handoff documentation.

Deliverable: a working fixed-scope product increment that can be used, tested, deployed, and extended.

Send context for a build sprint

AI Workflow Sprint

From $1,000

Add practical AI workflows to an existing product or new build.

For small teams that need document Q&A, AI assistants, structured extraction, summarization, classification, or workflow automation.

Best for practical AI features that support a real workflow instead of a standalone demo.

Includes OpenAI or Anthropic integration, prompt and schema design, backend endpoints, database integration, frontend UI, logging, basic cost controls, and deployment notes.

Deliverable: a usable AI workflow integrated into the product with clear behavior, constraints, and handoff notes.

Send context for an AI workflow

Async-first by design.

Plystra works best with written context, repos, staging URLs, screenshots, logs, and clear outcomes. No sales calls are required to start.

Step 1

Send context

Share what exists today, what you want built or fixed, and any relevant links, screenshots, logs, docs, or repo access.

Step 2

Scope the smallest useful step

Plystra reviews the current state and identifies whether the next step should be an audit, build sprint, AI workflow sprint, or no-fit note.

Step 3

Work in a fixed scope

The engagement stays focused on clear deliverables, written updates, and practical product progress.

Step 4

Handoff clearly

You receive working code or a clear report, plus deployment notes, implementation notes, and what changed.

Written context first. Clear scope before work. No calls required.

Preferred stack

Plystra works best with practical production stacks that are easy to deploy, maintain, and hand off.

Frontend

React, Next.js, Vite, TypeScript, Tailwind CSS, shadcn/ui.

Backend

Node.js, Python, Go, Kotlin, REST APIs, workers, and webhooks.

Data

PostgreSQL, schema design, migrations, data cleanup, and Supabase-compatible patterns.

AI

OpenAI, Anthropic, RAG, structured outputs, document Q&A, and workflow automation.

Production

Docker, Nginx, Linux VPS, Vercel, environment setup, deployment documentation, and operational handoff.

Product foundations

Email/password auth, session flows, role-based access, admin dashboards, forms, internal tools, and product workflows.

What Plystra is not built for

Clear boundaries help keep the work useful.

Plystra is not a low-cost website factory.
Plystra does not take unpaid test projects.
Plystra does not rebuild large products from scratch without a scoped discovery phase.
Plystra does not train foundation models.
Plystra does not work on high-risk medical, legal, or financial automation without proper review.
Plystra does not take vague "build my entire SaaS for $100" projects.
Plystra is not a branding-only, visual-design-only, or Shopify-focused studio.

Starting points

Most work starts with a small fixed-scope engagement. Larger builds are scoped only after reviewing the current product context.

Production Readiness Audit

From $149

A focused review of launch risks, code quality, deployment, auth, database, and AI workflow concerns.

Product Build Sprint

From $1,500

A fixed-scope build for a focused SaaS product, internal tool, AI-enabled dashboard, or production-ready product increment.

AI Workflow Sprint

From $1,000

A practical AI workflow added to an existing product or new build, with backend, UI, logging, and deployment notes.

Final scope and price depend on the current state, risk, timeline, and required deliverables.

FAQ

Do you require calls?

No. Plystra is async-first. You can start by sending a repo, staging URL, product brief, screenshots, logs, or written context. If written context is enough, the project can be scoped and delivered without calls.

Can you build from scratch?

Yes. Plystra can build focused SaaS MVPs, internal tools, AI-enabled dashboards, admin dashboards, workflow tools, and PostgreSQL-backed web products from scratch when the scope is clear.

Do you work with AI-generated codebases?

Yes. Plystra is a good fit when a prototype was built with AI tools but needs human review, cleanup, deployment, and production safeguards.

What kinds of AI features do you build?

Plystra focuses on practical AI workflows: document Q&A, AI assistants, structured extraction, summarization, classification, RAG over existing content, and workflow automation with clear constraints.

What stack is the best fit?

Best fit: React, Next.js, Vite, TypeScript, PostgreSQL, OpenAI, Anthropic, Docker, Vercel, Linux VPS, and practical backend systems using Node.js, Python, Go, or Kotlin.

Do you do design?

Plystra can improve product UI and frontend implementation, but this is not a branding-only or visual-design-only studio.

Can you work under NDA?

Yes, when needed.

What happens after I send the form?

If the project looks like a fit, you’ll receive a short reply with the recommended next step: audit, fixed-scope build sprint, AI workflow sprint, or a polite no-fit note.

Send project context

No calls required. Share what you want built, fixed, or launched. Plystra works best with written context, repos, staging URLs, screenshots, logs, and clear outcomes.

Good context usually includes what exists today, what is broken or missing, what outcome you want, relevant links, budget range, and timeline.

Prefer email? studio@plystra.com