SpeedMVPs

How fast can you build an MVP?

We typically ship a production‑quality MVP in 2–3 weeks. Day 1–2 is focused discovery and scope confirmation, Week 1 covers architecture, design system, and core flows, and Week 2 focuses on feature completion, polish, and deployment. We use proven templates and tooling to compress timelines without compromising reliability. Integrations or enterprise approvals can extend the schedule, but we plan parallel tracks so progress continues while dependencies clear.

What technologies do you use?

Our stack is AI‑native and cloud‑first: Next.js/React with TypeScript on the frontend, Node.js APIs (and Python where data/ML fits), vector search with Postgres + pgvector or managed options like Pinecone, and LLM providers such as OpenAI and Anthropic. We deploy to Vercel, AWS, or Render depending on latency, cost, and compliance needs, and we include CI/CD, observability, and security best practices from day one.

Do you build AI features like agents, chat, and automation?

Yes. We implement conversational UX, retrieval‑augmented generation (RAG), tool/function calling, structured outputs, and agentic workflows. We add evaluation harnesses and guardrails (rate‑limiting, toxicity filters, content policies) so AI features behave predictably in production. Where needed, we integrate orchestration frameworks and background workers for reliable long‑running tasks.

What do I get at the end of the 2–3 weeks?

You receive a production‑ready MVP deployed to a cloud environment, a private repository with full source code, CI/CD pipelines, environment configuration, documentation, and analytics. We share a clear next‑steps roadmap and handover checklist so your team (or ours) can continue shipping immediately. All intellectual property is assigned to you.

How do you ensure quality when moving so fast?

We prioritize scope discipline and crisp acceptance criteria, then support implementation with rigorous linting, type‑safety, automated checks, and pragmatic tests. Preview environments enable rapid reviews; we dogfood flows internally and instrument error monitoring to catch regressions early. The result is high‑velocity delivery with production‑grade reliability.

Can you upgrade or rework an existing MVP?

Absolutely. We run a rapid audit (code, UX, performance, security), define a remediation plan, and deliver improvements in short, outcome‑oriented sprints. Typical work includes redesigning flows, improving accessibility and speed, refactoring brittle code, and hardening the architecture for scale—with a migration plan that minimizes downtime.

Do you handle design and landing pages?

Yes. In parallel with product work, we ship conversion‑focused landing pages and a lightweight brand system. We provide Figma prototypes, copy aligned to your positioning, and analytics events ready for A/B testing. The goal is to validate demand while the product takes shape, so you can learn from real traffic and conversations.

How is pricing structured?

We usually start with a fixed‑scope sprint for the initial MVP so you have certainty on outcomes and cost. After launch, we continue with growth sprints or a monthly retainer for roadmap execution and maintenance. Pricing depends on scope and integrations; you’ll receive an itemized proposal with clear deliverables before we begin.