Question 1

How do I build an AI product from scratch?

Accepted Answer

Building an AI product requires expertise across multiple areas: product design, backend engineering, LLM integration, vector databases for RAG, infrastructure, and ongoing operations. ByOrbit handles the entire stack — from architecture definition to deployed infrastructure — so founders can launch AI products without building an internal engineering team from zero.

Question 2

What is RAG and how do I implement it in my product?

Accepted Answer

RAG (Retrieval-Augmented Generation) is an architecture that connects a language model to your own data — allowing it to answer questions accurately based on your knowledge base, not just its training data. Implementation involves embedding pipelines, vector databases (Pinecone, Weaviate, pgvector), semantic chunking, and hybrid search. ByOrbit builds production-grade RAG platforms that perform accurately at scale.

Question 3

How do I integrate LLMs like GPT-4 or Claude into my software?

Accepted Answer

LLM integration is more than calling an API. Production-grade integration requires prompt engineering, structured output validation, fallback handling, cost and latency management, and an abstraction layer so you can swap models without rewriting your product. ByOrbit builds these integration layers as a core part of every AI product engagement.

Question 4

Should I hire a company to build my AI product, or build in-house?

Accepted Answer

For most founders and growing companies, hiring a specialized studio is faster and lower-risk than building an internal team. Recruiting senior AI engineers is highly competitive and expensive. ByOrbit brings a complete, experienced team — architecture, engineering, and infrastructure — and delivers a production-ready product you fully own, with no lock-in.

Question 5

How do I launch a software product from idea to production?

Accepted Answer

Launching a software product involves four phases: Discovery (scoping requirements and stack decisions), Architecture (defining components, data flows, and AI integration points), Engineering (building with weekly demos and continuous staging delivery), and Launch (production deployment, observability setup, and structured handoff). ByOrbit runs every project through this protocol.

Question 6

What is an AI engineering studio?

Accepted Answer

An AI engineering studio is a specialized firm that takes a product from concept to deployed production — combining product strategy, software engineering, AI/LLM integration, and infrastructure. Unlike freelancers or generalist agencies, ByOrbit operates as a dedicated product crew with defined roles: project management, technical leads, and engineers aligned on a single mission.

Question 7

What is the difference between an AI studio, a freelancer, and an outsourcing company?

Accepted Answer

A freelancer is one person with limited bandwidth and no structured delivery process. An outsourcing company rents generic developers managed at a distance. ByOrbit forms a dedicated, specialized crew for your project — with defined roles, weekly demos, direct async communication, and accountability for delivering a production-ready product.

Question 8

Como construir um produto de IA do zero?

Accepted Answer

Construir um produto de IA exige expertise em múltiplas áreas: design de produto, engenharia backend, integração de LLMs, bancos de dados vetoriais para RAG, infraestrutura e operações contínuas. A ByOrbit cuida de toda a stack — da definição da arquitetura à infraestrutura em produção — para que founders possam lançar produtos de IA sem precisar montar um time interno do zero.

Question 9

O que é RAG e como implementar em um produto?

Accepted Answer

RAG (Retrieval-Augmented Generation) é uma arquitetura que conecta um modelo de linguagem aos seus próprios dados — permitindo que ele responda com precisão baseado na sua base de conhecimento. A implementação envolve pipelines de embedding, bancos de dados vetoriais (Pinecone, Weaviate, pgvector), semantic chunking e hybrid search. A ByOrbit constrói plataformas RAG production-grade com precisão em escala real.

Question 10

Qual a diferença entre um AI studio, um freelancer e outsourcing?

Accepted Answer

Um freelancer é uma pessoa com disponibilidade limitada e sem processo de entrega estruturado. Uma empresa de outsourcing aluga desenvolvedores genéricos gerenciados à distância. A ByOrbit forma um crew dedicado e especializado para o seu projeto — com papéis definidos, demos semanais, comunicação assíncrona direta e responsabilidade por entregar um produto pronto para produção.

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