Question 1

What AI services does Rottawhite offer?

Accepted Answer

Rottawhite builds custom AI agents, LLM-powered applications, RAG systems, AI copilots, workflow automation, and intelligent data pipelines. We also offer full-stack software development for companies that need both AI and traditional software engineering.

Question 2

How long does it take to build a custom AI system?

Accepted Answer

Our AI Discovery Sprint takes 2 weeks and delivers a working prototype with a technical roadmap. Full AI system builds typically take 6-16 weeks depending on complexity. We follow bi-weekly delivery cycles so you see working progress every two weeks.

Question 3

What makes Rottawhite different from other AI agencies?

Accepted Answer

We are a boutique studio that takes on only 4 clients at a time. Every project is led by senior AI architects with production deployment experience. No account managers, no junior handoffs. We build real AI systems, not chatbot wrappers.

Question 4

Does Rottawhite have its own AI products?

Accepted Answer

Yes. Rottawhite builds and operates three live AI products anyone can try: Vectropic.ai (document intelligence with RAG and vector search), LeadLens (AI lead research and outreach), and SEOWriter (AI SEO article generation). These production systems demonstrate the same engineering quality we deliver to clients.

Question 5

What AI technologies does Rottawhite work with?

Accepted Answer

We work with Claude API, OpenAI, LangChain, LangGraph, vector databases (Pinecone, Weaviate), RAG architectures, computer vision (TensorFlow, PyTorch), n8n/Make for workflow automation, and custom fine-tuning pipelines.

Question 6

Do you work with international clients?

Accepted Answer

Yes, we serve clients in the US, UK, UAE, Australia, Singapore, and Europe. We maintain 4-6 hours of daily timezone overlap with US and UK teams. NDA-first, full IP transfer on delivery. Book a free consultation at calendly.com/contact-rottawhite/30min.

Software Documentation: Best Practices for Developers

Documentation Importance

Types of Documentation

README

API Documentation

Architecture Decision Records

Runbooks

Best Practices

Tools

Conclusion

Related reading

Clean Code: Principles and Practices for Maintainable Software

Code Review: Best Practices for Effective Reviews

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