Question 1

How long does a typical AI system take?

Accepted Answer

Most focused RAG systems, AI chatbots, and workflow automations take 2-6 weeks from kickoff to production. After I review your scope, I break the work into milestones so you know exactly what ships each week.

Question 2

What is your pricing model?

Accepted Answer

I work best on fixed-scope projects with clear deliverables, acceptance criteria, and support included. Smaller builds usually start around the low four figures, while production systems with integrations, testing, and deployment are scoped after discovery.

Question 3

Can you work with private company data?

Accepted Answer

Yes. I can work under an NDA, avoid training models on your data, and design the system so documents stay in your approved storage, database, or cloud environment. I also explain which APIs see which data before we build.

Question 4

Who owns the source code and system after launch?

Accepted Answer

You own the delivered application code and business logic unless we agree otherwise. I can deploy it to your Vercel, AWS, GCP, Azure, or internal environment and document how your team can operate it.

Question 5

Do you offer ongoing support after deployment?

Accepted Answer

Yes. Every project includes 30 days of post-launch support for bug fixes, handoff, and small adjustments. Monthly support is available for monitoring, new integrations, prompt improvements, and model upgrades.

Question 6

What technologies do you use?

Accepted Answer

I use practical production stacks: Next.js, React, TypeScript, Python, FastAPI, OpenAI, Claude, Groq, LangChain-style retrieval patterns, pgvector, Pinecone, PostgreSQL, n8n, Make, and custom APIs depending on your workflow.

Question 7

Can you integrate AI into our existing tools?

Accepted Answer

Absolutely. I can connect AI systems to tools like HubSpot, Salesforce, Zendesk, Slack, Notion, Google Drive, CRMs, databases, internal dashboards, and custom APIs so the system fits your current workflow.

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